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Publication search results
found 394 matches
- 2023
- Paul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam, Ebelechukwu Nwafor, Habeeb Olufowobi:
FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing. EDGE 2023: 215-220 - Mohammed Al-Khafajiy, Ghaith Al-Tameemi, Thar Baker:
DDoS-FOCUS: A Distributed DoS Attacks Mitigation using Deep Learning Approach for a Secure IoT Network. EDGE 2023: 393-399 - Osamah I. Alqaisi, Ali Saman Tosun, Turgay Korkmaz:
Containerized Computer Vision Applications on Edge Devices. EDGE 2023: 1-11 - Feras M. Awaysheh, Riccardo Tommasini, Ahmed Awad:
Big Data Analytics from the Rich Cloud to the Frugal Edge. EDGE 2023: 319-329 - Elena Becker, Maanak Gupta, Kshitiz Aryal:
Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT. EDGE 2023: 400-410 - Tarik Zakaria Benmerar, Theodoros Theodoropoulos, Diogo Fevereiro, Luís Rosa, João Rodrigues, Tarik Taleb, Paolo Barone, Konstantinos Tserpes, Luís Cordeiro:
Intelligent Multi-Domain Edge Orchestration for Highly Distributed Immersive Services: An Immersive Virtual Touring Use Case. EDGE 2023: 381-392 - Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE 2023: 233-244 - Michele Boldo, Damiano Carra, Davide Quaglia, Nicola Bombieri:
A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in Telemedicine. EDGE 2023: 221-226 - Qing Charles Cao, Yunhe Feng:
Probabilistic Error Reasoning on IoT Edge Devices. EDGE 2023: 140-149 - Tse-Yu Chen, Yao Chiang, Jian-Han Wu, Huan-Ting Chen, Chiao-Cheng Chen, Hung-Yu Wei:
IEEE P1935 Edge/Fog Manageability and Orchestration: Standard and Usage Example. EDGE 2023: 96-103 - Ronit Das, Tie Luo:
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. EDGE 2023: 150-158 - Praveen Kumar Donta, Schahram Dustdar:
Towards Intelligent Data Protocols for the Edge. EDGE 2023: 372-380 - Alexander Droob, Daniel Morratz, Frederik Langkilde Jakobsen, Jacob Carstensen, Magnus Mathiesen, Rune Bohnstedt, Michele Albano, Sergio Moreschini, Davide Taibi:
Fault Tolerant Horizontal Computation Offloading. EDGE 2023: 177-182 - Joy Dutta, Deepak Puthal:
Human-Centered Explainable AI at the Edge for eHealth. EDGE 2023: 227-232 - Eduardo S. Gama, Natesha B. V, Roger Immich, Luiz F. Bittencourt:
An Orchestrator Architecture for Multi-tier Edge/Cloud Video Streaming Services. EDGE 2023: 190-196 - Ilche Georgievski, Marco Aiello:
The Potentials of AI Planning on the Edge. EDGE 2023: 330-336 - Michael Gibbs, Eiman Kanjo:
Realising the Power of Edge Intelligence: Addressing the Challenges in AI and tinyML Applications for Edge Computing. EDGE 2023: 337-343 - Edon Govori, Ilir Murturi, Schahram Dustdar:
A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices. EDGE 2023: 271-279 - Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim:
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. EDGE 2023: 126-132 - Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE 2023: 245-254 - Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim:
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. EDGE 2023: 255-261 - Keita Hagiwara, Yanzhi Li, Midori Sugaya:
Weighted Load Balancing Method for Heterogeneous Clusters on Hybrid Clouds. EDGE 2023: 171-176 - Zuo Huang, Richard O. Sinnott:
Improved Knowledge Distillation for Crowd Counting on IoT Devices. EDGE 2023: 207-214 - Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, Ivona Brandic:
Data-centric Edge-AI: A Symbolic Representation Use Case. EDGE 2023: 301-308 - Roger Iyengar, Qifei Dong, Chanh Nguyen, Padmanabhan Pillai, Mahadev Satyanarayanan:
Offload Shaping for Wearable Cognitive Assistance. EDGE 2023: 183-189 - Runyu Jin, Qirui Yang, Ming Zhao:
When Edge Meets FaaS: Opportunities and Challenges. EDGE 2023: 23-25 - Jayden King, Young Choon Lee:
eDashA: Edge-based Dash Cam Video Analytics. EDGE 2023: 204-206 - Abhijit Kumar, Tauseef Ahmed, Konica Saini, Jay Kumar:
NEOS: Non-intrusive Edge Observability stack based on Zero Trust security model for Ubiquitous Computing. EDGE 2023: 79-84 - Achintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen:
Transfer-Once-For-All: AI Model Optimization for Edge. EDGE 2023: 26-35 - Mikolaj Lysakowski, Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Piotr Skrzypczynski, Slawomir Konrad Tadeja:
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8. EDGE 2023: 364-371
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