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ORCID7th FMEC 2022: Paris, France
- Imed Saleh, Chirine Ghedira, Yaser Jararweh, Elhadj Benkhelifa, Larbi Boubchir:
Seventh International Conference on Fog and Mobile Edge Computing, FMEC 2022, Paris, France, December 12-15, 2022. IEEE 2022, ISBN 979-8-3503-3452-4 - Sawsan Al-Zubi, Feras M. Awaysheh:
EdgeFNF: Toward Real-time Fake News Detection on Mobile Edge Computing. 1-3 - Sandra Viciano-Tudela, David Carrasco, Lorena Parra, Sandra Sendra, Jaime Lloret:
Design, Deployment, and Testing a Device with Edge Computing Energy Efficiency Algorithm for Water Quality Monitoring. 1-8 - Mohammad Abu Mhana, Alá F. Khalifeh, Sahel Alouneh:
Performance Comparison of Big Data Processing Utilizing SciDB and Apache Accumulo Databases. 1-5 - Jiaqiang Zhang, Farhad Keramat, Xianjia Yu, Daniel Montero Hernández, Jorge Peña Queralta
, Tomi Westerlund:
Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness. 1-8 - Mohammad Al Ja'afreh, Muath Obaidat, Sahel Alouneh:
Incorporating MPLS for Better SoC Utilization and Traffic Engineering. 1-7 - Luke Jakielaszek, Xuening Xu, Xiaojiang Du, E. Paul Ratazzi:
Fine-Tuned Access Control for Internet of Things. 1-8 - Jaime Lloret:
Edge Computing in Precision agriculture. 1 - Rajkumar P. V.:
Gauging Carbon Footprint of AI/ML Implementations in Smart Cities: Methods and Challenges. 1-5 - Eiman Kanjo:
Sensing on The Edge: Smartening up Sensors. 1 - Xianjia Yu, Jorge Peña Queralta, Tomi Westerlund:
Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things. 1-6 - Feras M. Awaysheh, Sadi Alawadi, Sawsan Al-Zubi:
FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. 1-6 - Abdelkader Dairi, Belkacem Khaldi, Fouzi Harrou, Ying Sun:
DDOS attacks detection based on attention-deep learning and local outlier factor. 1-4 - Tatiana Kalganova:
Faster and more accurate machine learning techniques with less data. 1 - Batool Alkaddah, Anjali Agarwal:
Evaluating Amazon EC2 Spot Price Prediction Models Using Regression Error Characteristic Curve. 1-8 - Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole:
Keyword Extraction for Fine-Grained IoT Device Identification. 1-7 - Sharief Abdel-Razeq, Haythem Bany Salameh, Haitham Moffaqq Al-Obiedollah:
Integrating Cognitive Radio in NOMA-based B5G Networks: Architecture and Research Challenges. 1-6 - Maria Belkhir, Haroun Benkaouha, Elhadj Benkhelifa:
Quantum Vs Classical Computing: a Comparative Analysis. 1-8 - Yousef Alhaizaey, Jeremy Singer, Anna Lito Michala:
Optimizing Heterogeneous Task Allocation for Edge Compute Micro Clusters Using PSO Metaheuristic. 1-8 - Fouad Trad, Ali Hussein, Ali Chehab:
Using Siamese Neural Networks for Efficient and Accurate IoT Device Identification. 1-7 - Yinluo Jing, Zhiyi Qiao, Richard O. Sinnott:
Benchmarking Container Technologies For IoT Environments. 1-8 - Celestino Barros, Vítor Rocio, André Sousa, Hugo Paredes, Olavo Teixeira:
Proposal of a Context-aware Task Scheduling Algorithm for the Fog Paradigm. 1-8 - M. Saravanan, Arindam Banerjee:
Link Establishment in Hierarchical and Decentralized Fog IoT Network. 1-8 - Nada Masood Mirza, Rawad Bader, Adnan Ali, Mohamad Khairi Ishak:
Leveraging the Internet of Things Aware Healthcare Monitoring System for Better Living Standards. 1-5 - Meriem Arbaoui, Mohamed-el-Amine Brahmia, Abdellatif Rahmoun:
A review of IoT architectures in smart healthcare applications. 1-8 - Xin Pei, Wenpeng Song, Juntao Cao, Songsong Zheng, Xiaochuan Wu:
A Framework of Secure Computation as a Service in Decentralized Environment. 1-6 - Georgios L. Stavrinides, Helen D. Karatza:
Resource Allocation and Scheduling of Real-Time Workflow Applications in an IoT-Fog-Cloud Environment. 1-8 - Chamseddine Bouallegue, Julien Gascon-Samson:
EdgePub: A Self-Adaptable Distributed MQTT Broker Overlay for the Far-Edge. 1-8
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