Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Wang, Xiaofei, Han, Yiwen, Leung, Victor C. M., Niyato, Dusit, Yan, Xueqiang, Chen, Xu·2020·IEEE Communications Surveys & Tutorials
DOI 10.1109/comst.2020.2970550

Cited by (1,497)

Items 201–300 of 1,497

  1. A Systematic Survey of Blockchained Federated Learning
    Zhilin Wang, Qin Hu, Minghui Xu, Zhuang, Yan, Y. Wang, Xiuzhen Cheng · 2021 · arXiv (Cornell University)
  2. Optimising Deep Learning at the Edge for Accurate Hourly Air Quality Prediction
    Wardana, I Nyoman Kusuma, Gardner, Julian W., Fahmy, Suhaib A. · 2021 · Sensors
  3. Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data
    Wenjun Li, Ting Li · 2025 · Scientific Reports
  4. Communication-efficient distributed AI strategies for the IoT edge
    Christine Mwase, Yi Jin, Tomi Westerlund, Hannu Tenhunen, Zhuo Zou · 2022 · Future Generation Computer Systems
  5. Disclosing Edge Intelligence: A Systematic Meta-Survey
    Vincenzo Barbuto, Claudio Savaglio, Min Chen, Giancarlo Fortino · 2023 · Big Data and Cognitive Computing
  6. STEC-IoT: A Security Tactic by Virtualizing Edge Computing on IoT
    Peiying Zhang, Chunxiao Jiang, Xue Liang Pang, Yi Qian · 2020 · IEEE Internet of Things Journal
  7. Deep Meta Q-Learning Based Multi-Task Offloading in Edge-Cloud Systems
    Nelson Sharma, Aswini Ghosh, Rajiv Misra, Sajal Kumar Das · 2023 · IEEE Transactions on Mobile Computing
  8. A survey on integrated computing, caching, and communication in the cloud-to-edge continuum
    Adyson M. Maia, Akram Boutouchent, Youcef Kardjadja, Manel Gherari, Ece Gelal Soyak, Muhammad Saqib, Kacem Boussekar, Idil Bensu Cilbir, Sama Habibi, Soukaina Ouledsidi Ali et al. · 2024 · Computer Communications
  9. Real-Time Semantic Segmentation via Spatial-Detail Guided Context Propagation
    Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong, Jun Sheng Cheng, Meng Wang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
  10. Joint Optimization With DNN Partitioning and Resource Allocation in Mobile Edge Computing
    Chongwu Dong, Sheng Hu, Xi Chen, Wushao Wen · 2021 · IEEE Transactions on Network and Service Management
  11. Joint DNN Partition and Resource Allocation for Task Offloading in Edge–Cloud-Assisted IoT Environments
    Wenhao Fan, Li Hua Gao, Yi Su, Fan Wu, Yuanan Liu · 2023 · IEEE Internet of Things Journal
  12. Meta-Learning Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks
    Liang Pei Huang, Luxin Zhang, Shicheng Yang · 2020 · IEEE Communications Letters
  13. Optimal Status Update for Caching Enabled IoT Networks: A Dueling Deep R-Network Approach
    Chao Xu, Yiping Xie, Xijun Wang, Howard Hua Yang, Dusit Tao Niyato, Tony Q. S. Quek · 2021 · IEEE Transactions on Wireless Communications
  14. Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
    Ahmed Hadi Ali AL-Jumaili, Ravie Chandren Muniyandi, Mohammad Kamrul Hasan, Mandeep Singh Jit Singh, Johnny Koh Siaw Paw, Mohammad Amir · 2023 · Energy Reports
  15. A Survey on Edge Computing (EC) Security Challenges: Classification, Threats, and Mitigation Strategies
    Abdul Manan Sheikh, Md. Rafiqul Islam, Mohamed Hadi Habaebi, Suriza Ahmad Zabidi, Athaur Rahman Najeeb, Adnan Kabbani · 2025 · Future Internet
  16. Multiagent Reinforcement Learning-Based Cooperative Multitype Task Offloading Strategy for Internet of Vehicles in B5G/6G Network
    Yu‐ya Cui, Honghu Li, Degan Zhang · 2023 · IEEE Internet of Things Journal
  17. Intelligent Self-Optimization for Task Offloading in LEO-MEC-Assisted Energy-Harvesting-UAV Systems
    Demeke Shumeye Lakew, Anh-Tien Tran, Nhu–Ngoc Dao · 2024 · IEEE Transactions on Network Science and Engineering
  18. Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
    Jing Liu, Yao Du, Kun Yang, Jiaqi Wu, Yan Wang, Xiping Hu, Zehua Wang, Yang Liu, Peng Sun, Azzedine Boukerche et al. · 2026 · IEEE Communications Surveys & Tutorials
  19. Social Interaction and Information Diffusion in Social Internet of Things: Dynamics, Cloud-Edge, Traceability
    Yinxue Yi, Zufan Zhang, Laurence Tianruo Yang, Xianjun Deng, Lingzhi Yi, Xiaokang Wang · 2020 · IEEE Internet of Things Journal
  20. Wireless Edge Machine Learning: Resource Allocation and Trade-Offs
    Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa · 2021 · IEEE Access
  21. Classifier Performance Evaluation for Lightweight IDS Using Fog Computing in IoT Security
    Belal Sudqi Khater, Ainuddin Wahid Abdul Wahab, Mohd Yamani Idna Idris, Mohammed Abdulla Hussain, Ashraf Ahmed Ibrahim, Mohammad Arif Amin, Hisham A. Shehadeh · 2021 · Electronics
  22. Efficient Container Assignment and Layer Sequencing in Edge Computing
    Jiong Lou, Hao Luo, Zhiqing Tang, Weijia Jia, Wei Zhao · 2022 · IEEE Transactions on Services Computing
  23. An efficient edge computing management mechanism for sustainable smart cities
    Quy Vu Khanh, Van-Hau Nguyen, Quy Nguyen Minh, Anh Dang Van, Ngoc Le Anh, Abdellah Chehri · 2023 · Sustainable Computing Informatics and Systems
  24. Zero-Day Guardian: A Dual Model Enabled Federated Learning Framework for Handling Zero-Day Attacks in 5G Enabled IIoT
    Priyanka Verma, Nitesh Bharot, John G. Breslin, Donna O’Shea, Ankit Vidyarthi, Deepak Kumar Gupta · 2023 · IEEE Transactions on Consumer Electronics
  25. Deadline-Aware Task Offloading With Partially-Observable Deep Reinforcement Learning for Multi-Access Edge Computing
    Hui Huang, Qiang Ye, Yi-Tong Zhou · 2021 · IEEE Transactions on Network Science and Engineering
  26. STCS: Spatial-Temporal Collaborative Sampling in Flow-Aware Software Defined Networks
    Xiaofei Wang, Xiuhua Li, Sangheon Pack, Zhu Han, Victor C. M. Leung · 2020 · IEEE Journal on Selected Areas in Communications
  27. [Retracted] Machine Learning‐Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks
    Shuchen Zhou, Waqas Jadoon, Junaid Shuja · 2021 · Complexity · Retracted
  28. Low Latency Deep Learning Inference Model for Distributed Intelligent IoT Edge Clusters
    Soumyalatha Naveen, Manjunath R Kounte, Mohammed Riyaz Ahmed · 2021 · IEEE Access
  29. PhiNets: A Scalable Backbone for Low-power AI at the Edge
    Paissan, Francesco, Ancilotto, Alberto, Farella, Elisabetta · 2022 · ACM Transactions on Embedded Computing Systems
  30. Progressive Feature Transmission for Split Classification at the Wireless Edge
    Qiao Lan, Qunsong Zeng, Petar Popovski, Denız Gündüz, Kaibin Huang · 2022 · IEEE Transactions on Wireless Communications
  31. How can applications of blockchain and artificial intelligence improve performance of Internet of Things? – A survey
    Priyanka Bothra, Raja Karmakar, Sanjukta Bhattacharya, Sayantani De · 2023 · Computer Networks
  32. A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Directions
    Tilahun Melkamu Getu, Georges Kaddoum, Mehdi Bennis · 2024 · IEEE Access
  33. Wireless Avionics Intracommunications: A Survey of Benefits, Challenges, and Solutions
    Pangun Park, Piergiuseppe Di Marco, Junghyo Nah, Carlo Fischione · 2020 · IEEE Internet of Things Journal
  34. Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
    Kui Yao, Shuting Chen, Szu Cheng Lai, Yasmin Mohamed Yousry · 2021 · Advanced Science
  35. Edge-Assisted Solutions for IoT-Based Connected Healthcare Systems: A Literature Review
    Vahideh Hayyolalam, Moayad Aloqaily, Öznur Özkasap, Mohsen Guizani · 2021 · IEEE Internet of Things Journal
  36. Application of meta-learning in cyberspace security: a survey
    Aimin Yang, Chaomeng Lu, Jie Li, Xiangdong Huang, Tianhao Ji, Xichang Li, Yichao Sheng · 2022 · Digital Communications and Networks
  37. Enabling All In-Edge Deep Learning: A Literature Review
    Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully · 2023 · IEEE Access
  38. Autonomous Underwater Monitoring System for Detecting Life on the Seabed by Means of Computer Vision Cloud Services
    Marouane Salhaoui, Juan Carlos Molina Molina, Antonio Guerrero González, Mounir Arioua, Francisco J. Ortiz · 2020 · Remote Sensing
  39. AI-Based Resource Management in Beyond 5G Cloud Native Environment
    Abderrahmane Boudi, Miloud Bagaa, Petteri Pöyhönen · 2021 · IEEE Network
  40. Acoustic scene classification: A comprehensive survey
    Biyun Ding, Tao Zhang, Chao Wang, Ganjun Liu, Jinhua Liang, Ruimin Hu, Yulin Wu, Difei Guo · 2023 · Expert Systems with Applications
  41. Multisensory Metaverse-6G: A New Paradigm of Commerce and Education
    Mohammed H. ALSAMH, Ammar Hawbani, Santosh Kumar, Saeed Hamood Alsamhi · 2024 · IEEE Access
  42. Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign
    Cong Hao, Jordan Dotzel, Jinjun Xiong, L. Benini, Zhiru Zhang, Deming Chen · 2021 · IEEE Design and Test
  43. Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning
    Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa · 2022 · IEEE Transactions on Green Communications and Networking
  44. Applicability of Deep Reinforcement Learning for Efficient Federated Learning in Massive IoT Communications
    Prohim Tam, Riccardo Corrado, Chanthol Eang, Seokhoon Kim · 2023 · Applied Sciences
  45. Multi-Dimensional QoS Evaluation and Optimization of Mobile Edge Computing for IoT: A Survey
    Jiwei Huang, Fangzheng Liu, Jianbing Zhang · 2024 · Chinese Journal of Electronics
  46. Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks
    Kun Guo, Zihan Chen, Howard Hua Yang, Tony Q. S. Quek · 2021 · IEEE Journal of Selected Topics in Signal Processing
  47. FitNN: A Low-Resource FPGA-Based CNN Accelerator for Drones
    Zhichao Zhang, M. A. Parvez Mahmud, Abbas Z. Kouzani · 2022 · IEEE Internet of Things Journal
  48. Efficient Revenue-Based MEC Server Deployment and Management in Mobile Edge-Cloud Computing
    Yongmin Zhang, Wang Wei, Ju Ren, Jinge Huang, Shibo He, Yaoxue Zhang · 2022 · IEEE/ACM Transactions on Networking
  49. Dynamic Split Computing for Efficient Deep EDGE Intelligence
    Arian Bakhtiarnia, Nemanja Milošević, Qi Zhang, Dragana Bajović, Alexandros Iosifidis · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  50. Integration of Sensing, Communication, and Computing for Metaverse: A Survey
    Xiaojie Wang, Qi Guo, Zhaolong Ning, Lei Guo, Guoyin Wang, Xinbo Gao, Yan Zhang · 2024 · ACM Computing Surveys
  51. An Energy Efficient Smart Metering System Using Edge Computing in LoRa Network
    Preti Kumari, Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta, Sajal Kumar Das · 2021 · IEEE Transactions on Sustainable Computing
  52. AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking
    Salwa Saafi, Olga Vikhrova, Gábor Fodor · 2022 · IEEE Network
  53. Time Efficient Federated Learning with Semi-asynchronous Communication
    Jiangshan Hao, Yanchao Zhao, Jiale Zhang · 2020 · IEEE International Conference on Parallel and Distributed Systems (ICPADS)
  54. Personal Protection Equipment detection system for embedded devices based on DNN and Fuzzy Logic
    Giancarlo Iannizzotto, Lucia Lo Bello, Gaetano Patti · 2021 · Expert Systems with Applications
  55. Low Latency YOLOv3-Tiny Accelerator for Low-Cost FPGA Using General Matrix Multiplication Principle
    Trio Adiono, Adiwena Putra, Nana Sutisna, Infall Syafalni, Rahmat Mulyawan · 2021 · IEEE Access
  56. AI-Bazaar: A Cloud-Edge Computing Power Trading Framework for Ubiquitous AI Services
    Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Zhu Han, Ke Xu, Haipeng Yao, Song Guo · 2022 · IEEE Transactions on Cloud Computing
  57. EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding
    Daliang Xu, Wangsong Yin, Hao Zhang, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu · 2024 · IEEE Transactions on Mobile Computing
  58. On-device machine learning An algorithms and learning theory perspective
    Dhar, Sauptik, Guo, Junyao, Liu, Jiayi, Tripathi, Samarth, Kurup, Unmesh, Shah, Mohak · 2019 · arXiv
  59. Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks
    Yulei Wu, Yuxiang Ma, Hong‐Ning Dai, Hao Henry Wang · 2020 · Computer Networks
  60. Edge computing
    Jorge Pérez, Jessica Díaz, Javier Berrocal, Ramón López-Viana, Ángel González-Prieto · 2022 · Computing
  61. Deep learning-based flocculation sensor for automatic control of flocculant dose in sludge dewatering processes during wastewater treatment
    Hiroshi Yokoyama, Takahiro Yamashita, Yoichiro Kojima, Kazuyuki Nakamura · 2024 · Water Research
  62. Enabling AI in future wireless networks: a data life cycle perspective
    Dinh C. Nguyen, Peng Cheng, Ming Ding, David López‐Pérez, Pubudu Nishantha Pathirana, Jun Li, Aruna Prasad Seneviratne, Yonghui Li, H. Vincent Poor · 2024 · Figshare
  63. Smart retrofitting in maintenance: a systematic literature review
    David Sanchez-Londoño, Giacomo Barbieri, Luca Fumagalli · 2022 · Journal of Intelligent Manufacturing
  64. Moving beyond the Technology: A Socio-technical Roadmap for Low-Cost Water Sensor Network Applications
    Feng Mao, Kieran Khamis, Julian R A Clark, Stefan Krause, Wouter Buytaert, Boris Fernando Ochoa-Tocachi, David M. Hannah · 2020 · Environmental Science & Technology
  65. Intelligent Offloading for NOMA-Assisted MEC via Dual Connectivity
    Changxiang Li, Hong Wang, Rongfang Song · 2020 · IEEE Internet of Things Journal
  66. Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey
    Angeliki Boltsi, Κonstantinos Kalovrektis, Apostolos Xenakis, Periklis Chatzimisios, Costas Chaikalis · 2024 · IEEE Access
  67. Federated Distributed Deep Reinforcement Learning for Recommendation-Enabled Edge Caching
    Huan Zhou, Hao Wang, Zhiwen Yu · 2024 · IEEE Transactions on Services Computing
  68. Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey
    Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Guo Zhou · 2020 · IEEE Access
  69. FedPA: An adaptively partial model aggregation strategy in Federated Learning
    Juncai Liu, Jessie Hui Wang, Chenghao Rong, Yuedong Xu, Tao Yu, Jilong Wang · 2021 · Computer Networks
  70. Single-layer vision transformers for more accurate early exits with less overhead
    Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis · 2022 · Neural Networks
  71. A compressed sensing and CNN‐based method for fault diagnosis of photovoltaic inverters in edge computing scenarios
    Xinyi Wang, Bo Yang, Zhaojian Wang, Qi Liu, Cailian Chen, Xinping Guan · 2022 · IET Renewable Power Generation
  72. Machine Learning for Service Migration: A Survey
    Nassima Toumi, Miloud Bagaa, Adlen Ksentini · 2023 · IEEE Communications Surveys & Tutorials
  73. Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing
    Sungmin Hwang, Junsu Yu, Min Suk Song, Hwiho Hwang, Hyungjin Kim · 2023 · Advanced Science
  74. A game-theoretic joint optimal pricing and resource allocation for Mobile Edge Computing in NOMA-based 5G networks and beyond
    Razie Roostaei, Zahra Dabiri, Zeinab Movahedi · 2021 · Computer Networks
  75. Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
    Xubin Wang, Weijia Jia B · 2025 · Qeios
  76. Decentralized Task Offloading in Edge Computing: An Offline-to-Online Reinforcement Learning Approach
    Hongcai Lin, Lei Yang, Hao Xu Guo, Jiannong Cao · 2024 · IEEE Transactions on Computers
  77. Federated recommenders: methods, challenges and future
    Zareen Alamgir, Farwa K. Khan, Saira Karim · 2022 · Cluster Computing
  78. Communication-efficient semi-synchronous hierarchical federated learning with balanced training in heterogeneous IoT edge environments
    Mohammad Sadeq Garshasbi · 2022 · Internet of Things
  79. MEC-Based Dynamic Controller Placement in SD-IoV: A Deep Reinforcement Learning Approach
    Bo Li, Xiaoheng Deng, Xuechen Chen · 2022 · IEEE Transactions on Vehicular Technology
  80. A Review of Intelligent Computation Offloading in Multiaccess Edge Computing
    Hengli Jin, Mark A Gregory, Shuo Li · 2022 · IEEE Access
  81. Geryon
    Kaikai Deng, Dong Yang Zhao, Qiaoyue Han, Shuyue Wang, Zihan Zhang, Anfu Zhou, Huadóng Ma · 2022 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  82. Remote Monitoring and Maintenance for Equipment and Production Lines on Industrial Internet: A Literature Review
    Qingzong Li, Yuqian Yang, Pingyu Jiang · 2022 · Machines
  83. Traffic Prediction-Assisted Federated Deep Reinforcement Learning for Service Migration in Digital Twins-Enabled MEC Networks
    Xiangyi Chen, Guangjie Han, Yuanguo Bi · 2023 · IEEE Journal on Selected Areas in Communications
  84. Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey
    Malka N. Halgamuge · 2024 · IEEE Communications Surveys & Tutorials
  85. Joint Task and Computing Resource Allocation in Distributed Edge Computing Systems via Multi-Agent Deep Reinforcement Learning
    Yan Chen, Yanjing Sun, Hao Yu, Tarik Taleb · 2024 · IEEE Transactions on Network Science and Engineering
  86. Integration of Multi-Agent Systems and Artificial Intelligence in Self-Healing Subway Power Supply Systems: Advancements in Fault Diagnosis, Isolation, and Recovery
    Jianbing Feng, Tao Yu, Kuozhen Zhang, Lefeng Cheng · 2025 · Processes
  87. Collaborative Edge Computing and Caching With Deep Reinforcement Learning Decision Agents
    Jianji Ren, Haichao Wang, Tingting Hou, Shuai Zheng, Chaosheng Tang · 2020 · IEEE Access
  88. Reinforcement Learning Meets Wireless Networks: A Layering Perspective
    Yawen Chen, Yu Liu, Ming Zeng, Umber Saleem, Zhaoming Lu, Xiangming Wen, Depeng Jin, Zhu Han, Tao Jiang, Yong Li · 2020 · IEEE Internet of Things Journal
  89. A Survey of State-of-the-art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths
    Liu, Bin, Luo, Zhongqiang, Chen, Hongbo, Li, Chengjie · 2022 · IEEE Access
  90. A secure edge computing model using machine learning and IDS to detect and isolate intruders
    Poornima Mahadevappa, Raja Kumar Murugesan, Redhwan Al-amri, Reema Thabit, Abdullah Hussein Al-Ghushami, Gamal Abdulnaser Alkawsi · 2024 · MethodsX
  91. Security-Sensitive Task Offloading in Integrated Satellite-Terrestrial Networks
    Wenjun Lan, Kongyang Chen, Jiannong Cao, Yikai Li, Ning Li, Qi Chen, Yuvraj Sahni · 2024 · IEEE Transactions on Mobile Computing
  92. Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing
    Lu Hou, Kan Zheng, Zhiming Liu · 2020 · IEEE Internet of Things Journal
  93. Power flow adjustment for smart microgrid based on edge computing and multi-agent deep reinforcement learning
    Tianjiao Pu, Xinying Wang, Yifan Cao, Zhicheng Liu, Chao Qiu, Qiao Ji, Shuhua Zhang · 2021 · Journal of Cloud Computing Advances Systems and Applications
  94. Computation Bits Maximization in UAV-Enabled Mobile-Edge Computing System
    Liang Lyu, Fanzi Zeng, Zhu Qiang Xiao, Chengyuan Zhang, Hongbo Jiang, Vincent Havyarimana · 2021 · IEEE Internet of Things Journal
  95. Imtidad: A Reference Architecture and a Case Study on Developing Distributed AI Services for Skin Disease Diagnosis over Cloud, Fog and Edge
    Nourah Fahad Janbi, Rashid Mehmood, Iyad A. Katib, Aiiad Ahmad Albeshri, Juan M. Corchado, Tan Yiğitcanlar · 2022 · Sensors
  96. Next-Generation Edge Computing Assisted Autonomous Driving Based Artificial Intelligence Algorithms
    Hatem Ibn Khedher, Mohammed Laroui, Hassine Moungla, Hossam Afifi, Emad Abd-Elrahman · 2022 · IEEE Access
  97. Edge AI as a Service: Configurable Model Deployment and Delay-Energy Optimization With Result Quality Constraints
    Wenyu Zhang, Sherali Zeadally, Wei Li, Haijun Zhang, Jingyi Hou, Victor C. M. Leung · 2022 · IEEE Transactions on Cloud Computing
  98. A review of on-device machine learning for IoT: An energy perspective
    Nazlı Tekin, Ahmet Arış, Abbas Acar, Arif Selcuk Uluagac, Vehbi Çağrı Güngör · 2023 · Ad Hoc Networks
  99. Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms
    Junaid Qadir, Beatriz Sainz de Abajo, Anwar Khan, Begonya García-Zapirain, Isabel de la Torre Díez, Hasan Mahmood · 2020 · IEEE Access
  100. LearningADD: Machine learning based acoustic defect detection in factory automation
    Tao Zhang, Biyun Ding, Xin Wayne Zhao, Ganjun Liu, Zhibo Pang · 2021 · Journal of Manufacturing Systems