Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones by Sofiane Zaidi, Mohamed Amine Attalah, Lazhar Khamer, Carlos T. Calafate

“…This particularity makes it difficult to apply the conventional task offloading technologies, such as cloud computing and edge computing, in IoD environments. To address these limits, and to ensure a low task offloading delay, in this paper we propose PSO BS-Fog, a task offloading optimization that combines a particle swarm optimization (PSO) heuristic with fog computing technology for the IoD. …”
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A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

“…Additionally, this research opens avenues for optimizing deep learning models and leveraging edge computing technologies to reduce response times in wearable device applications.…”
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Edge-cloud collaboration empowered immersive Web3D by XU Yanan, ZHAO Guidan, FENG Daquan, SHI Wenzhe, LU Ping

“…The progression of cutting-edge technologies such as mobile Internet and 5G networks, coupled with the emergence of edge computing, has propelled Web3D service modes from solitary terminal or cloud-based rendering toward a collaborative edge-cloud paradigm. …”
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Effective Evolutionary Algorithm for Solving the Real-Resource-Constrained Scheduling Problem by Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan, Naixue Xiong

“…Real-RCPSP has become a critical issue in many fields such as resource allocation to perform tasks in Edge Computing or arranging robots at industrial production lines at factories and IoT systems. …”
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A Comprehensive Review of Artificial Intelligence Applications in the Photovoltaic Systems by Jiaming Hu, Boon-Han Lim, Xiaoyun Tian, Kang Wang, Dachuan Xu, Feng Zhang, Yong Zhang

“…Finally, we describe forward-looking solutions including transfer learning, few-shot learning, and edge computing, as well as the state of the art.…”
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SAFE-CAST: secure AI-federated enumeration for clustering-based automated surveillance and trust in machine-to-machine communication by Yusuf Kursat Tuncel, Kasım Öztoprak

“…This comprehensive solution addresses the pressing need for robust, efficient, and secure M2M communication in the evolving landscape of IoT and edge computing.…”
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Advancing eHealth in Society 5.0: A Fuzzy Logic and Blockchain-Enhanced Framework for Integrating IoMT, Edge, and Cloud With AI by Joy Dutta, Deepak Puthal

“…To advance eHealth within this vision, we present a comprehensive framework that integrates the Internet of Medical Things (IoMT), edge computing, and cloud services with Explainable Artificial Intelligence (XAI) and blockchain technology, customized for the 6G era. …”
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A privacy budget adaptive optimization scheme for federated computing power Internet of things by MA Wenyu, CHEN Qian, HU Yuxiang, YAN Haonan, HU Tao, YI Peng

“…In specific, to adaptively adjust privacy budgets, the privacy budget estimates for edge computing power nodes based on the Cramér-Rao lower bound theory were analyzed. …”
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Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications by Muhammad Muzammul, Muhammad Assam, Ayman Qahmash

“…It also establishes a foundation for future advancements, including scalability to diverse datasets, integration with edge computing platforms, and the exploration of quantum computing techniques. …”
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Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications by T. A. Alka, Aswathy Sreenivasan, M. Suresh

“…Cloud-native technology supports innovative business models in entrepreneurship such as SaaS, serverless computing, managed Kubernetes, data analytics platforms, BaaS, and Edge Computing. The urgency to incorporate and develop new security features and tools for measurement is necessary. …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…The future of deep learning in healthcare IoT is geared toward enhancing data security, improving device integration, and creating patient-centric models through innovative technologies such as blockchain and edge computing. This article advocates for a collaborative approach to overcome barriers and accelerate the adoption of these technologies in mainstream healthcare settings.…”
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MonoSeg: An Infrared UAV Perspective Vehicle Instance Segmentation Model with Strong Adaptability and Integrity by Peng Huang, Yan Yin, Kaifeng Hu, Weidong Yang

“…Moreover, the computational constraints of edge computing platforms pose a fundamental challenge in balancing real-time processing requirements with detection performance. …”
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Fabrication of Hollow Needle Tips with Nanoholes by Plasma Maskless Processing and Calculation and Detection of Complex Surface Edges by Zuocai Dai, Sha Zhou, Tongguang Yang, Yanpeng Wang

“…In this study, a hollow needle tip with nanoholes was fabricated by plasma maskless processing, and use edge computing to calculate the complex surface shape of the needle tip. …”
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A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

“…Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. In this paper, we propose a low-power DNN accelerator with novel signed approximate multiplier based on probability-optimized compressor and error compensation. …”
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Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques by Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi

“…Finally, the use of state-of-the-art ML algorithms in these capabilities is explored and their potential extension to cloud and/or edge computing based network architectures is highlighted.…”
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Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…The reports highlight the necessity of more studies on the integration of artificial intelligence in telemedicine and the adoption of edge computing solutions to overcome cloud-related issues in low-connectivity scenarios. …”
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Energy-Efficient Aerial STAR-RIS-Aided Computing Offloading and Content Caching for Wireless Sensor Networks by Xiaoping Yang, Quanzeng Wang, Bin Yang, Xiaofang Cao

“…UAV-based WSNs equipped with mobile edge computing (MEC) servers effectively mitigate challenges associated with long-distance transmission and the limited coverage of edge base stations (BSs), emerging as a powerful paradigm for both communication and computing services. …”
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Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases by Sandra Roger, Carmen Botella-Mascarell, David Martin-Sacristan, David Garcia-Roger, Jose F. Monserrat, Tommy Svensson

“…We start by identifying three current technology trends, namely, towards climate neutral; cloudification and edge computing; and Big Data and artificial intelligence, and then we examine their capability to enable sustainable Vehicle-to-Everything (V2X) communication systems in beyond 5G and 6G networks. …”
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Survey on the development of mimic defense in cyberspace:from mimic concept to “mimic+” ecology by Hailong MA, Liang WANG, Tao HU, Yiming JIANG, Yanze QU

“…Build upon the dynamic-heterogeneous-redundant architecture for multi-body execution, multi-mode ruling and multi-dimension reconstruction, cyberspace mimic defense (CMD) uses uncertain system to deal with the uncertain threat to cyberspace ubiquity.The evolution of CMD over the past 8 years were reviewed systematically from the vertical, horizontal, current, developing and future perspectives.From the vertical perspective, the development process of CMD from concept to theory and practice was summarized.From the horizontal view, it elaborated the core structure DHR (dynamical heterogeneous redundancy) of CMD, the principles based on CMD’s three major theorems, safety gains and performance costs.A comparison was conducted between CMD and five other active defense technologies, namely intrusion tolerance, moving target defense, zero trust architecture, trusted computing and computer immunology.From the current perspective, it reviewed the implementation elements, performance, system architecture, heterogeneous strategies, scheduling strategies, voting strategies and other common technology patterns and characteristics of 11 types of main existing mimic products including mimicry router, mimicry processor, mimicry DNS server and mimicry cloud platform.From the developing perspective, it explored the “mimic+” AICDS (Mimic + AI/IoT/Cloud/Data/SDN) symbiotic ecology with respect to 5 types of new technologies, namely artificial intelligence, Internet of things, cloud computing, big data and software-defined network, and proposed the corresponding technology junctions and cross research value.From the future perspective, it looked into the future mimicry baseline 2.0 product ecology, “mimic +5G/6G”, “mimic + edge computing”,“mimic + cloud” and “mimic + blockchain” application scenarios.Besides, 4 types of challenges faced by CMD in the future were analyzed and summarized, including escape space of multi-mode decision attack, mutual restriction of heterogeneous and synchronous, difficult balance between security and function, and limited transformation space of existing endogenous security components.…”
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Analog Computing for Nonlinear Shock Tube PDE Models: Test and Measurement of CMOS Chip by Hasantha Malavipathirana, Soumyajit Mandal, Nilan Udayanga, Yingying Wang, S. I. Hariharan, Arjuna Madanayake

“…Analog CMOS has power efficiency advantages over digital CMOS for low-precision applications in edge computing, scientific computing, and artificial intelligence/machine learning (AI/ML) verticals. …”
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