Secure Latency-Aware Task Offloading Using Federated Learning and Zero Trust in Edge Computing for IoMT by Waleed Almuseelem

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Edge Computing Application-Specific Integrated Circuit With Two Serial Communication Protocols and a Backpropagation Neural Network by Guo-Ming Sung, Sachin D. Kohale, Chao-Yu Chen, Ying-Tzu Lai

“…This study developed an edge computing application-specific integrated circuit (ASIC) with two serial communication protocols, adjustable weights, and a backpropagation neural network (BPNN) for edge computing. …”
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AoI-enabled multi-node cooperative sensing based on integration of sensing, communication, and computing in vehicular networks by Yiqing ZHOU, Haoyue ZHANG, Yanli QI, Qing CAI, Ling LIU, Jiangzhou WANG

“…For the requirements of real-time services in autonomous driving systems, such as high-definition (HD) maps, based on the integration of sensing, communication, and computing, a multi-node cooperative sensing mechanism was proposed with the age of information (AoI) as the real-time indicator.Considering the constraints on communication and computing resources and vehicle energy consumption, the information collection, transmission and processing of sensing nodes were optimally scheduled to minimize the AoI averaged over time.A Lyapunov-based online scheduling algorithm was proposed to transform the long-term stochastic optimization problem into an online optimization problem, which could be solved with low complexity.Compared with the existing mechanism considering integrated communication and computing, the proposed mechanism can improve real-time performance by 9%～50%.…”
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Penerapan Machine Learning untuk Mengendalikan Parameter Budidaya Tanaman Hidroponik Berbasis Edge dan Cloud Computing by Helmy Helmy, Arif Nursyahid, Thomas Agung Setyawan

“…In this study, the control of pH and TDS utilizes machine learning with a multiple linear regression method and edge computing and cloud computing technologies. Edge computing allows real-time data processing at the hydroponic system's sensor devices, while cloud computing provides large storage and processing capacities. …”
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An Efficient Algorithm for Resource Allocation in Mobile Edge Computing Based on Convex Optimization and Karush–Kuhn–Tucker Method by Kaijing Wang, Shelily F. Akhtar, Fahad Ahmed Al-Zahrani

“…It offers a significant amount of processing and storage resources to the edge of networks, offloading applications from vehicle terminals that are computation-intensive and delay-sensitive. …”
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A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing by Aarti Singh, Dimple Juneja, Manisha Malhotra

“…A cloud computing environment offers a simplified, centralized platform or resources for use when needed at a low cost. …”
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Parallel Task Offloading and Trajectory Optimization for UAV-Assisted Mobile Edge Computing via Hierarchical Reinforcement Learning by Tuo Wang, Xitai Na, Yusen Nie, Jinglong Liu, Wenda Wang, Zhenduo Meng

“…With the rapid growth of IoT data and increasing demands for low-latency computation, UAV-assisted mobile edge computing (MEC) offers a flexible solution to overcome the limitations of fixed MEC servers. …”
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Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing by He Jiang, Yan Zhao, Hang Zhou

“…An operating framework of distributed power system is presented based on offload strategy of mobile edge computing (MEC) and optimal allocation of computational quantity. …”
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LightLSB: a lightweight secure transmission mechanism for large-scale biometric images in computing limited environment by ZHANG Denghui, SHEN Shengshang, YAO Jiefeng, LI Mohan, LI Aiping

“…Compared with general computing devices, IoT terminal equipment has been becoming smaller and lighter, making it difficult to support the complex operations required by standard cryptography. …”
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Cryogenic Performance and Modeling of Sub-5nm Fin-Width Bulk FinFETs for Quantum Computing Applications by Deepesh Sharma, Sumreti Gupta, Abhisek Dixit

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The Construction of a Stream Service Application with DeepStream and Simple Realtime Server Using Containerization for Edge Computing by Wen-Chung Shih, Zheng-Yao Wang, Endah Kristiani, Yi-Jun Hsieh, Yuan-Hsin Sung, Chia-Hsin Li, Chao-Tung Yang

“…Overall, the findings contribute valuable insights into building efficient edge computing architectures that support real-time video processing and streaming.…”
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Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing by Shu Xu, Qingjie Liu, Chengye Gong, Xupeng Wen

“…The framework enables collaborative decision making among multiple UAVs to efficiently serve sparsely distributed ground mobile devices (MDs) and establish an integrated mobility, communication, and computational offloading model, which formulates a joint optimization problem aimed at minimizing the weighted sum of task processing latency and UAV energy consumption. …”
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A2PC: Augmented Advantage Pointer-Critic Model for Low Latency on Mobile IoT With Edge Computing by Rodrigo Carvalho, Faroq Al-Tam, Noelia Correia

“…As a growing trend, edge computing infrastructures are starting to be integrated with Internet of Things (IoT) systems to facilitate time-critical applications. …”
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Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing by Mohammad Haris, Swaleha Zubair

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A Study on Information Classification and Storage in Cloud Computing Data Centers Based on Group Collaborative Intelligent Clustering by Jie Ren, Lijuan Liu

“…Internet of things (IoT) and cloud computing are combined to form a cloud computing data center, and cloud computing provides virtualization, storage, computing, and other support services for IoT applications. …”
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Machine learning model design for high performance cloud computing & load balancing resiliency: An innovative approach by Nilayam Kumar Kamila, Jaroslav Frnda, Subhendu Kumar Pani, Rashmi Das, Sardar M.N. Islam, P.K. Bharti, Kamalakanta Muduli

“…High performance computing is now a major area where business and computing technologies need resilient high performance to meet business continuity and real-time needs. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

“…To address this issue, this study introduces a novel hybrid method for predicting concrete compressive strength by integrating multiple soft computing algorithms and the stacking ensemble learning strategy. …”
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An online and real-time adaptive operational modal parameter identification method based on fog computing in Internet of Things by Cheng Wang, Haiyang Huang, Jianwei Chen, Wei Wei, Tian Wang

“…However, currently cloud computing cannot satisfy real-time requirements and fog computing is a promising technique for real-time processing. …”
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Multifunctional Au–Ag–Cr Nanocomposites: From Multiplex Sensing and Advanced Logic Computing to Scalable Information Protection by Jie Zhou, Jiao Yang Lu, Zhi Xin Xie, Dong Hua Wang, Bin Sheng He, Wei Tao Huang

“…Multiresponsiveness of Au–Ag–Cr NCs to diverse substance combinations underpins input–output mapping relationships, enabling advanced molecular logic computations (such as arithmetic and reversible logic). …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…Thus, the aim of this study is to realize edge computing for the BP measurement in real time, which includes measurements of BCG and IPG signals, digital signal process, feature extraction, and BP estimation by machine learning algorithm. …”
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