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As of late, skin diseases are expanded in people. Skin illnesses are brought about by microscopic organisms or because of contaminations. A portion of the skin illnesses resemble ring worm, yeast disease, sensitivities and so on are... more
As of late, skin diseases are expanded in people. Skin illnesses are brought about by microscopic organisms or because of contaminations. A portion of the skin illnesses resemble ring worm, yeast disease, sensitivities and so on are increments and spread over skin step by step. So this sort of maladies ought to be distinguished in its previous stage to abstain from spreading. It tends to be distinguished utilizing a few variables like clinical parameters which are considered for recognizing the infection. The conceivable skin sicknesses in various ages are dermatitis in age 0–5 years, moles influences in 6–11 years age, and skin inflammation vulgaris in 12–16 years age. Dermatomyositis is a sort of skin illness that influences youngsters at age of 5–15 and grown-up at 40–60 age. Right now, objective is to give a device to help experts and buyers in finding and picking sickness. To accomplish this objective, we build up a methodology that permits a client to inquiry for disease that ...
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In this Global era, Technology plays an important part in our lives, considering our Lifestyle, Healthcare and maintaining resources and assets. In the field of HealthCare, technology has been growing each day in order to counter... more
In this Global era, Technology plays an important part in our lives, considering our Lifestyle, Healthcare and maintaining resources and assets. In the field of HealthCare, technology has been growing each day in order to counter different diseases and their symptoms emerging in the present world. One such disease is Parkinson's Disease. Parkinson's Disease is a brain neurological disorder. It causes tremors in the body and hands, and also stiffness in the body. At this moment, there is no proper cure or treatment available. Only when the condition is detected early, or at its onset, is treatment possible. These will not only lower the cost of the sickness, but they may also save lives. As a result, a project called "Parkinson's Disease Detection Using Machine Learning Technologies" was launched in try to diagnose the disease at an early stage. Parkinson's disease is a neurological disease that affects the brain's dopamine-producing neurons and progresses over time. As a result, various machine learning techniques and Python libraries are employed in order to develop a model capable of reliably detecting the presence of disease in one's body. The current models rely on image or audio analysis to diagnose disease, encouraging the development of a new model that uses both.
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Research Interests:
Cloud computing is broadly received gratitude to the high business spryness; it assurances to its shoppers. Cloud administrations arrangement in the commercial center is an essential undertaking for both cloud customer and cloud supplier... more
Cloud computing is broadly received gratitude to the high business spryness; it assurances to its shoppers. Cloud administrations arrangement in the commercial center is an essential undertaking for both cloud customer and cloud supplier principally if the cloud buyer asks explicit properties for its applications. In this manner, this undertaking is designated to a third part which is the cloud intermediary. The proposed framework a cloud asset dealer is suggested that will administer the task of suppliers’ assets to purchaser progressively. The proposed representative uses different prerequisites and imperatives determined by the shopper in the necessity depiction format as contribution, to figure amassed necessities, utilizing an accumulation calculation. Further, the administration planning calculation is characterized to discover a streamlined match between the accumulated necessities with the suppliers contributions. From that point, this calculation is executed regularly, in view of a procedure for dynamic planning to profit customers by virtue of presentation of new supplier or some great contributions. Results demonstrate that the arrangement gave by agent ends up being a success win circumstance for the customer concerning cost just as execution. We propose a monetarily roused pay way to deal with increment the granularity and utility of saved calculation and capacity administrations. The result is a profoundly virtualization of cloud asset intermediary. It comprises of a guardian asset administration commercial center and a shopper configurable virtual machine for asset sharing. The framework bolsters progressively settled virtualization with powerfully customizable asset limits for fine-grained auxiliary, worldly, and vertical–spatial versatility.
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Deep Learning it has been the subset assortment of Machine Learning concerned where neural system calculations enlivened by human cerebrum (what happens immediately to human) gain from enormous measure of information through a few layers... more
Deep Learning it has been the subset assortment of Machine Learning concerned where neural system calculations enlivened by human cerebrum (what happens immediately to human) gain from enormous measure of information through a few layers for nonlinear change. The deep learning can process huge number of highlights to build the result exactness. Genuine applications on Deep Learning, Face Recognition, Hand Writing Recognition, Speech Recognition, translate starting with one human language then onto the next human language, Control Robots such as self-driving vehicles. The current framework depends on sensors and gadgets to gather time arrangement signals which are created in both time and recurrence space. To accumulate the stimulating information, each subject conveys a keen gadget for a couple of hours and plays a few exercises. In the anticipated application, five sorts of basic exercises will be actualized, including strolling, limping, working out, strolling upstairs, and stroll...
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This report shows the outcome by applying large scale data mining techniques on the Finnish roads. From the research study it is very difficult task to perform because the collected data have uncertainty, incomplete and error values. So... more
This report shows the outcome by applying large scale data mining techniques on the Finnish roads. From the research study it is very difficult task to perform because the collected data have uncertainty, incomplete and error values. So the data exploration is a challenging task. The data used in the process have been collected from Finnish road administration data sets. The data used in the process have been collected from Finnish road administration data sets. The main target of our project is to look into practicability of Robust clustering, to find the associations and repeated item sets and applying apprehend methods for the analysis of road accidents. While the results display the selected mining techniques and methods were capable to the understandable patterns. To calculate the accident frequency count as a parameter /c-means algorithm is used to cluster the locations. To characterize the surface conditions association rule mining is used. data mining skills disclosed differ...
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According to the standards of India the financial, political and social security depend legitimately just as in a roundabout way on the yearly creation of rice. Wellspring of pay of hundred a large number of individuals relies just upon... more
According to the standards of India the financial, political and social security depend legitimately just as in a roundabout way on the yearly creation of rice. Wellspring of pay of hundred a large number of individuals relies just upon rice creation and nothing else included according to the report of International Rice Research Institute (IRRI), 37% of the rice yield misfortune is because of illnesses. In a general public the rancher can deal with crop on-time with suitable treatment. By a yield shrewd rice is the hugest humanoid sustenance on the planet, which can be taken care of legitimately than some other gather. Sequentially, the fundamental target of cultivating is to yield and feed nourishment to the country. In this way, these leaf ailments in any structures in rice crop will in general reason decrease in quality, yield and financial movement separately. This venture reports a novel methodology for recognition and distinguishing proof of rice leaf infections by utilizing ...
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This research proposes a series of algorithms that work for improved Brain Tumor identification and classification. The Brain Tumor study based on the MRI image will effectively resolve the classification method for diagnosis of brain... more
This research proposes a series of algorithms that work for improved Brain Tumor identification and classification. The Brain Tumor study based on the MRI image will effectively resolve the classification method for diagnosis of brain tumors. There are three stages: Extraction of features, Reduction of features and classification. Extraction function and reduction of functionality used for two algorithms. The extracted characteristics are Mean, Standard deviation, Curtosis, Skewness, Entropy Contrast, Variance, Smoothness, Correlation and Power. The result is then supplied to Support Vector Machine (SVM) for the Benign or Malignant classification of tumours.
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Online reviews have an incredible effect on the present business and trade. The development of web-based business organizations has pulled in numerous buyers since they provide a scope of items on aggressive costs. The main aspect most... more
Online reviews have an incredible effect on the present business and trade. The development of web-based business organizations has pulled in numerous buyers since they provide a scope of items on aggressive costs. The main aspect most buyers depends on while doing online shopping is the review of items for closing the choice of object. Basic leadership for the acquisition of online items generally relies upon reviews given by the clients. Henceforth, deft people or gatherings attempt to control item surveys for their advantages. In perspective on the impacts of these phony surveys, various systems to recognize these were proposed in the research. Because of reviews and its nature, this is hard to group these utilizing only one classifier. Henceforth, the present research discusses a classifier for dealing with identifying such phony reviews. The study also presents the text mining techniques both supervised and semi-supervised to identify counterfeit online reviews just as looks at...
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The Hand motions are the most well-known types of correspondence and have extraordinary significance in our reality. They can help in building sheltered and agreeable UIs for a large number of uses. In the current system, we have to speak... more
The Hand motions are the most well-known types of correspondence and have extraordinary significance in our reality. They can help in building sheltered and agreeable UIs for a large number of uses. In the current system, we have to speak with the Deaf and moronic individuals utilizing Deaf and idiotic language just, there is no programmed device to change over that into sound arrangement. In the Proposed system, Hand motions are the most widely recognized types of correspondence and have incredible significance reality. It is used to build protected and agreeable UIs for huge number of uses. Various types of calculations have utilized on camera for hand motion acknowledgment, yet hearty implementation on motions from different subjects is as yet testing. In the Modification, We convey Hand motion acknowledgment alongside Criminal stance additionally to distinguish and anticipate any criminal activities by any client. So this application is utilized for Deaf and idiotic corresponden...
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As per the literature survey done from different publications, we came to a conclusion that there is a disease called hypoglycemia which is a similar type of disease polygenic disorder. This disease is having many levels and each level... more
As per the literature survey done from different publications, we came to a conclusion that there is a disease called hypoglycemia which is a similar type of disease polygenic disorder. This disease is having many levels and each level will be having its own values numerically, if it crosses the limit, gets to fall into next level. The continuous glucose monitoring system is an effective tool which enables the user to monitor their blood glucose level. This is a Eupepsia Flu involving a significant number of people world-wide. If untreated Hypoglycemia related infirmities in most target organs of the body may consecutively cataclysmic. Here many parameters will be taken to conclude the disease summary, among them the major parameters are Insulin level, BP, Urine Urea, Kidney functionality, liver functionality, gender and age. This project comprises most of the diabetes survey as it is a beginning module of getting into hypoglycemia. To implement this project the algorithms using are...
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Research Interests:
Big Data (BDA) is progressively turning into a slanting practice that numerous associations are receiving with the motivation behind developing important data from Big Data. The term Big Data is likewise used to catch the openings and... more
Big Data (BDA) is progressively turning into a slanting practice that numerous associations are receiving with the motivation behind developing important data from Big Data. The term Big Data is likewise used to catch the openings and difficulties confronting all scientists in overseeing, examining, and incorporating datasets of differing information compose. In this paper we mention how the healthcare factor become more advance in modern world. This includes that the health care data should be properly analyzed so that we can deduce that in which group or gender, diseases attack the most. This beneficial outputs which include: getting the health care analysis in various forms. Thus this concept of analytics should be implemented with a view of future use. Beyond improving profits and cutting down on wasted overhead, Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths. With the world’s population increasing an...
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Health Tracking Devices are mostly used in Hospitals and health care sector for monitoring patients. Health is an essential factor for vulnerable people. Various guidelines are given to vulnerable people and data security and privacy are... more
Health Tracking Devices are mostly used in Hospitals and health care sector for monitoring patients. Health is an essential factor for vulnerable people. Various guidelines are given to vulnerable people and data security and privacy are important. Data consisting of administrative, protection and security contributes all of that. Mainly the control devices for health care are installed and operated by qualified personnel. They don’t have excessive rules and restrictions on most of the aspects of electromagnetic resources. One more problem occurs when consumer devices and applications targeting health and fitness factors are again used to monitor vulnerable people who are largely alien to technology interactions. There exists an example, that people who are more easily vulnerable will show less interest in important protective behaviours. The things they lack to perform are getting device updates regularly, modification of old passwords. These people fall to others as victim easily ...
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Alzheimer’s Disease (AD) is a standout amongst the most familiar types of memory loss influencing a huge number of senior individuals around the world which is the main source of dementia and memory misfortune. AD causes shrinkage in... more
Alzheimer’s Disease (AD) is a standout amongst the most familiar types of memory loss influencing a huge number of senior individuals around the world which is the main source of dementia and memory misfortune. AD causes shrinkage in hippocampus and cerebral cortex and it grows the ventricles in the mind Enhancing home and network based composed consideration is basic to alleviating Alzheimer’s impacts on people and families and to decreasing mounting medicinal services costs. Distinguishing early morphological changes in the mind and making early determination are vital for Alzheimer’s ailment (AD). A few machine learning techniques, for example, Support vector machines have been utilized and a portion of these strategies have been appeared to be extremely compelling in diagnosing AD from neuroimages, some of the time significantly more viable than human radiologists. MRI uncover the data of AD however decay districts are diverse for various individuals which makes the finding some...
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Deep learning is being broadly used for various problems faced in medical field reports. There are various symptoms and early stimulation signs that leads to a dangerous effect in the human system. In today’s world, opinions and analysis... more
Deep learning is being broadly used for various problems faced in medical field reports. There are various symptoms and early stimulation signs that leads to a dangerous effect in the human system. In today’s world, opinions and analysis accessible to us are one of the most critical factors in formulating our prediction and similarities and its treatment must be done with great care some tests such as habits, neuro psychological and laboratory tests, neuro imaging and electroencephalography (EEG) are taken prior the treatment. By the usage of SVM algorithm find similar symptoms these include with great accuracy. Various factors are taken into account and a thorough analysing is done with different types of classifier to find the most accurate one. SVM is a productive algorithm to be used but this paper mainly focuses on providing various analysing algorithm for acquiring accurate result.
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There is no automatic process in identifying the misbehaving activities in the Tax payment as well as GST bill payment system. In the proposed framework is to devise a strategy that distinguishes gatherings of individuals who submit... more
There is no automatic process in identifying the misbehaving activities in the Tax payment as well as GST bill payment system. In the proposed framework is to devise a strategy that distinguishes gatherings of individuals who submit avoidance in the products and enterprises charge by controlling their deals as well as buys with the inspiration to lessen their duty obligation. Specifically, we perform bunching investigation on certain delicate parameters relating to every one of the sellers. At that point by breaking down the quantity of vendors over the various bunches, we distinguished the suspicious arrangement of sellers who are additionally examined by taking a gander at other delicate parameters. In the modification process. Values of the rupee are linked with the currency number which is implicitly linked with the Expiry date which is not notified to any of the users. So, vendors while receiving the money need to update in the shop server which is directly communicates to the ...
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An individual Human computer interference system is being introduced. In olden times, as an input device the mouse and keyboard were used by human computer interference system. Those people who are suffering from certain disease or... more
An individual Human computer interference system is being introduced. In olden times, as an input device the mouse and keyboard were used by human computer interference system. Those people who are suffering from certain disease or illness cannot be able to operate computers. The idea of controlling the computers with the eyes will serve a great use for handicapped and disabled person. Also this type of control will eliminate the help required by other person to handle the computer. This measure will be the most useful for the person who is without hands through which they can operate with the help of their eye movements. The movement of the cursor is directly associated with the center of the pupil. Hence our first step would be detecting the center of point pupil. This process of pupil detection is implemented using the Raspberry Pi and OpenCV. The Raspberry Pi has a SD/MMC card slot which is used for placing the SD card. The SD card is boosted with the operating system that is required starting up of Raspberry Pi. The Raspberry PI will get executed once the application program is loaded into it.
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Alzheimer diseases are very hard to identify at beginning stage and also medication is available. So, the only way to protect those people is to predict the Alzheimer disease before it reaches the peak. More studies in diabetes show that... more
Alzheimer diseases are very hard to identify at beginning stage and also medication is available. So, the only way to protect those people is to predict the Alzheimer disease before it reaches the peak. More studies in diabetes show that there is a link between Diabetes and Alzheimer. Initially the prediction of diabetes is done using most relevant parameters, which detects the Diabetes. Then the severity level of diabetes is identified using some scoring levels. Based on scoring levels of diabetes, it is classified in to Type1 and Type2 using Machine Learning algorithms. When Diabetes reaches a worst case, it may affect any organs in the human body, whereas Type 2 Diabetes has associated with rare diseases which literally affects the brain and leads to cognitive impairment. After predicting the patients having cognitive impairment by applying classification algorithms are further examined to check whether it leads to Alzheimer disease. For this prediction the most relevant paramete...
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In today’s world diabetes is the major health challenges in India. It is a group of a syndrome that results in too much sugar in the blood. It is a protracted condition that affects the way the body mechanizes the blood sugar. Prevention... more
In today’s world diabetes is the major health challenges in India. It is a group of a syndrome that results in too much sugar in the blood. It is a protracted condition that affects the way the body mechanizes the blood sugar. Prevention and prediction of diabetes mellitus is increasingly gaining interest in medical sciences. The aim is how to predict at an early stage of diabetes using different machine learning techniques. In this paper basically, we use well-known classification that are Decision tree, K-Nearest Neighbors, Support Vector Machine, and Random forest. These classification techniques used with Pima Indians diabetes dataset. Therefore, we predict diabetes at different stage and analyze the performance of different classification techniques. We Also proposed a conceptual model for the prediction of diabetes mellitus using different machine learning techniques. In this paper we also compare the accuracy of the different machine learning techniques to finding the diabete...
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Research Interests:
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There is a tremendous increase in severe cases of type 2 diabetes in the day today's life. Therefore, proper assessment of the disease is critical to saving society. Many prediction models help identify type 2 diabetes. At the same... more
There is a tremendous increase in severe cases of type 2 diabetes in the day today's life. Therefore, proper assessment of the disease is critical to saving society. Many prediction models help identify type 2 diabetes. At the same time, every model varies based on the performance measures. Various kinds of algorithms such as Decision Tree, Logistic Regression, KNN, Random Forest algorithm are applied to identify type 2 diabetes. At this juncture, used the implementation of type 2 Classification by AdaBoost algorithms, an ensemble approach. Here, the proposed methodology of the paper is to implement an ensemble approach of machine learning to receive a better efficiency compared to other existing algorithms for the classification of type 2 diabetes. When compared to all different algorithms, this ensemble approach shows an efficiency of 83%. The accuracy is calculated based on various performance measures.
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With the rapid growth of the technology, nowadays more IoT devices are enabled and more data is transferring from one device to another device. Due to huge data transmission from one node to another a traffic or collision may occur in IoT... more
With the rapid growth of the technology, nowadays more IoT devices are enabled and more data is transferring from one device to another device. Due to huge data transmission from one node to another a traffic or collision may occur in IoT Assisted Smart devices in WSN. To avoid the issues an energy efficient routing protocol is used. In this regard, routing is a challenging task while transmitting the packets to some storage repositories. This paper presents the Energy Efficient Routing Approach (EERA) to identify the routing paths where less energy is consumed to enhances the network lifespan.