Ben hur

8thInternational Conference on Trends in Mechanical Engineering (MECE 2024)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing, AI and Information Retrieval.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Bioscience & Engineering: An International Journal (BIOEJ) is a peer-reviewed, open
access journal that addresses the impacts and challenges of Bioscience, Bioengineering and
Applications. The journal documents practical and theoretical results which make a fundamental
contribution for the development of Bioscience & Engineering

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short
communications from all over the world. The main aim of this journal is to extend the state of the art
on theoretical, computational and experimental aspects of expert systems related to the applied fields
such astransportation, surveillance, medical and industrial domains. This journal is also concentrated
on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump,
run, slide, skate, swim, fly, roll etc

7th International Conference on Advances in Engineering (AE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of all Engineering fields. The conference documents practical and theoretical results which make a fundamental contribution for the development of all Engineering. Original research papers, state of-the-art reviews are invited for publication in all areas of Engineering.

9th International Conference on Circuits and Systems (CIRSY 2023) will provide an excellent knowledge and to reach for health care needs of the society. The goal of the conference is to monitor the effect of marketed drugs to deliver in adverse reactions. The aim of the conference is to provide a platform to the researchers and both academia and industry to
meet and also to share the development in this field. Only original research papers are invited for the publication.

8th International Conference on Mechanical Engineering (ME 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge
development in the field.

7th International Conference on Civil Engineering (CE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Civil Engineering. The conference documents practical and theoretical
results which make a fundamental contribution for the development of Civil Engineering.

7th International Conference on Trends in Mechanical Engineering (MECE
2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering.

7th International Conference on Chemical Engineering (CHEME 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Chemical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Chemical Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Original research papers, state-of-the-art reviews are
invited for publication in all areas Chemical Engineering.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump,
run, slide, skate, swim, fly, roll etc.

6th International Conference on Advances in Engineering (AE 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of all Engineering fields. The conference documents practical and theoretical results which make a fundamental contribution for the development of all Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Engineering.

6th International Conference on Civil Engineering (CE 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Civil Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Civil Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Original research papers, state-of-the-art reviews are invited for publication in all areas Civil Engineering.

7th International Conference on Mechanical Engineering (ME 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Scientists and engineers in the whole time history have turned to nature for encouragement and dreams for trouble solving for the real time environments. By observing the performance of groups of bees and ants are working together has given to a rise to the 'swarm intelligence concepts'. One of the most interesting and new explore area of recent decades towards the impressive challenge of robotics is the design of swarm robots that are self-independent and self intelligence one. This concept can be essential for robots exposed to environment that are shapeless or not easily available for an individual operator, such as a distorted construction, the deep sea, or the surface of another planet. In this paper, we present a study on the basic bio-inspirations of swarm and its physical configurations, such as reconfigurability, replication and self-assembly. By introducing the swarm concepts through swarm-bot, which offers mainly miniaturization with robustness, flexibility and scalability. This paper discusses about the various swarmbot intelligence, self-assembly and self-reconfigurability among the most important and capabilities as well as functionality to swarm robots.

In this work, we propose a new design approach based on bat algorithm for optimal design of Fuzzy-Proportional-Derivative controllers (FPD) for the stabilization of a Quadrotor. To stabilize the angles (roll, pitch and yaw) and heights of the Quadrotor a decentralized control structure is adopted where four FPD controllers are used. Their parameters are given simultaneously by BAT algorithm. The performance of the system from its desired behavior is quantified by an objective function (SE). Some simulation results are presented to show the efficiency of the method .

Supply and production of multicopters has become easy thanks to technological developments. Multicopters are used in several applications based upon their high manoeuvrability, ability of still standing and easiness to product. Their increasing usage and getting supply of these devices easier have caused security and privacy troubles in terms of both military and civilian. However, it is obvious that new and major threats will be added into these troubles with current developments. In this study, military and civilian usage of multicopters in our days have been examined and these aircrafts may become threat scenarios with scientific developments and the scenarios have been presented under four titles which are aggressive manoeuvres, autonomy, positioning and localization and multi robotics. Also, determination and detection systems, defence systems and laws topics against potential threat scenarios are examined. In order to address the gaps of these topics new proposals and suggestion are presented.

This paper deals with a new simulation camera used MORSE simulator (modular open robot simulation engine)which is based on Blender (game engine) and Python , this camera can discover the environment (indoor or outdoor) according to its components , also can give us the type and coordinates of each element which exists in the environment, the semantic camera has been controlled by using ROS (robot operating system) node. Based on the informations that have been getting from the camera , we can build the robot map and discover the environment easily. We put in the researchers hands especially who are working with the simulation programs a new sensor for detecting the objects locations easily in the environments , this will be very useful in the robot navigation and path planning issues. This paper is a part of a project for handicapped people , we used semantic camera as sensor for discovering the objects coordinates but we used manipulator JACO robotic arm instead of mobile robot

Scope
5th International Conference on Mechanical Engineering (MEN 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering.

6th International Conference on Trends in Mechanical Engineering (MECE 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution
for the development of Mechanical Engineering

org/fcst/index Call for Papers 10 th International Conference on Foundations of Computer Science & Technology (FCST 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Foundations of Computer Science & Technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advances.

org/mec/index Scope 6th International Conference on Trends in Mechanical Engineering (MEC 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field, Original research papers, state-of-the-art reviews are invited for publication in all areas of Mechanical Engineering, but are not limited to.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

org/civie/index Scope 6 th International Conference on Civil Engineering (CiViE 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Civil Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Civil Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Original research papers, state-of-the-art reviews are invited for publication in all areas Civil Engineering.

org/index Scope 9 th International Conference on Mechanical Engineering (Meche 2022) will provide an excellent International forum for sharing knowledge and results in theory, methodology, applications, impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

Scientists and engineers in the whole time history have turned to nature for encouragement and dreams for trouble solving for the real time environments. By observing the performance of groups of bees and ants are working together has given to a rise to the 'swarm intelligence concepts'. One of the most interesting and new explore area of recent decades towards the impressive challenge of robotics is the design of swarm robots that are self-independent and self intelligence one. This concept can be essential for robots exposed to environment that are shapeless or not easily available for an individual operator, such as a distorted construction, the deep sea, or the surface of another planet. In this paper, we present a study on the basic bio-inspirations of swarm and its physical configurations, such as reconfigurability, replication and self-assembly. By introducing the swarm concepts through swarm-bot, which offers mainly miniaturization with robustness, flexibility and scalability. This paper discusses about the various swarm-bot intelligence, self-assembly and self-reconfigurability among the most important and capabilities as well as functionality to swarm robots.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

In detail, the journal covers the following topics but not limited to:

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

Scientists and engineers in the whole time history have turned to nature for encouragement and dreams for trouble solving for the real time environments. By observing the performance of groups of bees and ants are working together has given to a rise to the 'swarm intelligence concepts'. One of the most interesting and new explore area of recent decades towards the impressive challenge of robotics is the design of swarm robots that are self-independent and self intelligence one. This concept can be essential for robots exposed to environment that are shapeless or not easily available for an individual operator, such as a distorted construction, the deep sea, or the surface of another planet. In this paper, we present a study on the basic bio-inspirations of swarm and its physical configurations, such as reconfigurability, replication and self-assembly. By introducing the swarm concepts through swarm-bot, which offers mainly miniaturization with robustness, flexibility and scalability. This paper discusses about the various swarm-bot intelligence, self-assembly and self-reconfigurability among the most important and capabilities as well as functionality to swarm robots.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

In this paper we introduce an approach to increase density of field-effect transistors framework a voltage reference. Framework the approach we consider manufacturing the inverter in heterostructure with specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implan-tation. After that dopant and radiation defects should by annealed framework optimized scheme. We also consider an approach to decrease value of mismatch-induced stress in the considered heterostructure. We introduce an analytical approach to analyze mass and heat transport in heterostructures during manufacturing of integrated circuits with account mismatch-induced stress. KEYWORDS Field-effect heterotransystors, voltage reference, decreasing of dimensions, optimization of manufacturing, miss-match induced stress, porosity of materials.

This paper deals with the design and the implementation of a novel navigation strategy for an unicycle mobile robot. The strategy of navigation is inspired from nature (the duck walking) in the closed loop. Therefore, a single sensor (gyroscope) is used to determine the pose of the robot, hence the proposed name "gyroscopic navigation". A global presentation of the novel strategy and the robot and with its different components are given. An experimental identification for the useful parameters are then exhibited. Moreover, the controller design strategy and the simulation results are given. Finally, real time experiments are accomplished to valid the simulation results.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

VISUAL tracking is one of the rapidly developing fields of computer vision. In visual field, Object tracking is a significant task in various computer vision applications like surveillance, augmented reality, human-computer interfaces and medical imaging. Moving object detection and tracking is an essential image processing analysis in several applications for crowd monitoring. Moving object detection is utilized to enhance the image processing analysis. The object detection method is employed to detect the moving object areas with different size of objects and video progression. Then, Object tracking is vital condition for every logical video surveillance system. The existing work presented a Cognitive Control Inspired Approach (CCIA) for extended targets. Here, the two Kalman filters are used in visual tracking systems to predict the object motion depends on it size. Cognitive Perceptor unit measurement is processed from environment field to make representation of external world. Cognitive Control Unit described a set of actions and it evaluates the hidden variable by Hidden Markov Model. However, object tracking was difficult and consume more time in outdoor environments. In addition to, redundant and unwanted information were not removed with higher signal to noise ratio. The performance of object tracking accuracy was not efficiently enhanced. In order to solve the above problems, Bayesian Monte Carlo employing Particle Gaussian Information Filter scheme is proposed for object tracking to increase the accuracy for tracking the object. Bayesian approach is used for state estimation to reduce the signal to noise ratio. Initially, the Bayesian State Estimator using Monte Carlo Particle Simulation (MCPS) is estimated the set of particles (i.e. objects) with associated weighted via posterior density. As a Bayesian estimator, particle simulation considered two main steps namely prediction and update by using particle information filter for object tracking. Then, Monte Carlo Particle State Estimator algorithm is employed for achieving the object tracking accuracy from state estimation by removing unwanted and redundant information. Finally, the Gaussian Information Filter scheme is applied with the estimated state to track the original object with noise reduction. Gaussian Information Filter scheme is described by information matrix and information vector to detect the multiple moving objects. The performance of proposed Bayesian Monte Carlo employing Particle Gaussian Information Filter scheme is analyzed against with the following metrics such as Signal-to-noise ratio, Object tracking accuracy and Mean square error with respect to number of objects.

There has been expanding enthusiasm for embracing Block Chain (BC) that supports the digital money Bitcoin, in Internet of things (IoT) for security and protection. In any case, BCs are computationally costly and include high transfer speed overhead and postponements, which are not reasonable for most IoT gadgets. This paper reviews what has been done by researchers in integrating the block chain with IOT for safety and privacy. High asset devices make an overlay system to execute a freely open disseminated BC that guarantees start to finish security and protection.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

In this paper we introduce an approach to increase integration rate of elements of an binary-ROM circuit. Framework the approach we consider a heterostructure with special configuration. Several specific areas of the heterostructure should be doped by diffusion or ion implantation. Annealing of dopant and/or radiation defects should be optimized. KEYWORDS Binary-ROM circuit; increasing of integration rate of elements; prognosis of technological process; optimization of manufacturing.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

Lower limb dynamic models are useful to investigate the biomechanics of the knee and ankle joints, but many systems have several limitations which includes simplified forces, non physiologic kinematics and the complicated interactions between the foot and the ground. Many approaches in control of prosthetic devices use prediction algorithms to estimate ground reaction forces (GRF), which can degrade the performance and the efficiency of the devices due to calculation errors. In this study, the variation of the GRF during different gait cycles was investigated in the design of an adaptive fuzzy controller for a dynamic model of an active ankle-knee prosthesis, the efficiency of the controller was tested for walking gait, stair ascent and descent. Real experimental kinematics of the lower limb and GRF measured by forces platforms were selected as the controller inputs and fuzzy reasoning was used to determine the adequate torques to actuate the prosthetic device model. The capacity of the active prosthesis and the designed controller to provide walking, stair ascent and descent cycles was tested by comparing the gait kinematics to those provided by a healthy subject.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

The paper presents the Inverse Kinematics (IK) close form derivation steps using combination of analytical and geometric techniques for the UR robot. The innovative application of this work is used in the precise positioning of puncture robotics system. The end effector is a puncture needle guide tube, which needs precise positioning over the puncture insertion point. The IK closed form solutions bring out maximum 8 solutions represents 8 different robot joints configurations. These multiple solutions are helpful in the puncture robotics system, it allow doctors to choose the most suitable configuration during the operation. Therefore the workspace becomes more adequate for the coexistence of human and robot. Moreover IK closed form solutions are more precise in positioning for medical puncture surgery compared to other numerical methods. We include a performance evaluation for both of the IK obtained by the closed form solution and by a numerical method.

Expert systems are no longer just a technology, but they have entered many fields of decision-making from these medical fields, for example, as they help in diagnosing the disease and giving treatment, and also in the field of administration, where they give the manager a rational decision to solve a problem and other fields, DSS is an interactive information system that provides information, models, and data processing tools to assist decision-making. Islamic banks such as commercial banks offer products and services to customers, but these banks face many problems and the most important ones are the problems financing where Islamic banks seek to participate in money rather than lending and interest the participatory financing system is one of the most important sources of financing within Islamic banks This system is based on the agreement between the Bank and the customer to participate in a new project or project already in place in the proportions that agree to by the bank and the client but this funding takes a long time and many actions so the researcher has built an expert system to reduce the time it takes to award Funding and also to reduce procedures as the expert systems have the ability to help the human element in making decisions. This paper presents expert systems in Islamic banks in the system of co-financing in order to save time and effort and maximize profit.

In this work, we propose a Particle Swarm Optimization (PSO) to design Proportional Derivative controllers (PD) for the control of Unicycle Mobile Robot. To stabilize and drive the robot precisely with the predefined trajectory, a decentralized control structure is adopted where four PD controllers are used. Their parameters are given simultaneously by the proposed algorithm (PSO). The performance of the system from its desired behavior is quantified by an objective function (SE). Simulation results are presented to show the efficiency of the method.). The results are very conclusive and satisfactory in terms of stability and trajectory tracking of unicycle mobile robot

Scientists and engineers in the whole time history have turned to nature for encouragement and dreams for trouble solving for the real time environments. By observing the performance of groups of bees and ants are working together has given to a rise to the 'swarm intelligence concepts'. One of the most interesting and new explore area of recent decades towards the impressive challenge of robotics is the design of swarm robots that are self-independent and self intelligence one. This concept can be essential for robots exposed to environment that are shapeless or not easily available for an individual operator, such as a distorted construction, the deep sea, or the surface of another planet. In this paper, we present a study on the basic bio-inspirations of swarm and its physical configurations, such as reconfigurability, replication and self-assembly. By introducing the swarm concepts through swarm-bot, which offers mainly miniaturization with robustness, flexibility and scalability. This paper discusses about the various swarm-bot intelligence, self-assembly and self-reconfigurability among the most important and capabilities as well as functionality to swarm robots.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and synthases of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

Lower limb dynamic models are useful to investigate the biomechanics of the knee and ankle joints, but many systems have several limitations which includes simplified forces, non physiologic kinematics and the complicated interactions between  the foot and the ground. Many approaches in control of prosthetic devices use prediction algorithms to estimate ground reaction forces (GRF), which can degrade the performance and the efficiency of the devices due to calculation errors. In this study, the variation of the GRF during different gait cycles was investigated in the design of an adaptive fuzzy controller for a dynamic model of an active ankle-knee prosthesis, the efficiency of the controller was tested for walking gait, stair ascent and descent. Real experimental kinematics of the lower limb and GRF measured by forces platforms were selected as the controller inputs and fuzzy reasoning was used to determine the adequate torques to actuate the prosthetic device model. The capacity of the active prosthesis and the designed controller to provide walking, stair ascent and descent cycles was tested by comparing the gait kinematics to those provided by a healthy subject.

Advance Robotics & Expert Systems carry original articles, review articles, case studies and short communications from all over the world. The main aim of this journal is to extend the state of the art on theoretical, computational and experimental aspects of expert systems related to the applied fields such as transportation, surveillance, medical and industrial domains. This journal is also concentrated on kinematics, dynamics and syntheses of various robot locomotion mechanisms such as walk, jump, run, slide, skate, swim, fly, roll etc.

7th International Conference on Electrical & Computer Engineering (E&C 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Electrical & Computer Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Electrical & Computer Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

7 th International Conference on Electrical and Electronics Engineering (EEEN 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of Electrical, Electronics, Instrumentation and Communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical, Electronics and Instrumentation Engineering. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

6 th International Conference on Mechanical Engineering (MECH 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mechanical Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mechanical Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

org/elee/index Scope 3rd International Conference on Electrical Engineering (ELEE 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of Electrical Engineering. Original research papers, state-ofthe-art reviews are invited for publication in all areas of Electrical Engineering. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Medical Sciences..