Managing energy consumption in FPGA-based edge computing systems with soft-core CPUs by Oleksandr Hryshchuk, Sergiy Zagorodnyuk

“… Edge computing, characterized by processing data closer to its source, has emerged as a promising paradigm to address the challenges of latency, bandwidth, and privacy in the Internet of Things (IoT) era. …”
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Research on secure transport strategy of mobile edge computing based on deep reinforcement learning by WANG Yijun, LI Jiaxin, YAN Zhiying, LYU Jingying, QIAN Zhihong

“…In mobile edge computing, the process of task unloading will face security problems such as information leakage and eavesdropping. …”
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Electrolyte Gated Transistors for Brain Inspired Neuromorphic Computing and Perception Applications: A Review by Weisheng Wang, Liqiang Zhu

“…Emerging neuromorphic computing offers a promising and energy-efficient approach to developing advanced intelligent systems by mimicking the information processing modes of the human brain. …”
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Cloud Computing for Improving Work Efficiency at the Belibi Village Government Office in the Era of Transformation by Kurniasih Mika, Ocky Sundari Rahardjo

“…This study aims to describe the implementation process of cloud computing, identify the challenges faced, and formulate strategies to improve work efficiency in the Belibi Village Government Office. …”
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Design of Cross-Source Education Information Classification Model Based on Cloud Computing Technology by Zhimei Lv

“…Firstly, based on the analysis of the structure and function of the cloud computing platform, this paper expounded the cloud computing service mode and its deployment mode and gave a multisource information processing method based on the cloud computing center combined with the characteristics of information distribution in the cloud computing environment. …”
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Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications by Ahmed M. Alwakeel

“…The rapid proliferation of Internet of Things (IoT) applications necessitates real-time data processing and low-latency communication, challenging traditional cloud computing paradigms. …”
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A Green Computing Business Aggregation Strategy for Low Earth Orbit Satellite Networks by Bo Wang, Jiaqi Lv, Dongyan Huang, Zelin Lu, Yuhang Fang

“…This paper proposes a green computing strategy for low Earth orbit (LEO) satellite networks (LSNs), addressing energy efficiency and delay optimization in dynamic and energy-constrained environments. …”
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Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating by Wataru Namiki, Daiki Nishioka, Yuki Nomura, Takashi Tsuchiya, Kazuo Yamamoto, Kazuya Terabe

“…Utilizing the strong nonlinearity resulting from chaos, the reservoir shows good computational performance in completing the Mackey–Glass chaotic time‐series prediction task, and the performance is comparable to that exhibited by simulated neural networks.…”
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Mobile edge computing resource allocation: A joint Stackelberg game and matching strategy by Shaoyong Guo, Xing Hu, Gangsong Dong, Wencui Li, Xuesong Qiu

“…In this article, we propose a hierarchical architecture in Smart Home with mobile edge computing, providing low-latency services and promoting edge process for smart devices. …”
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Design of Rotors in Centrifugal Pumps Using the Topology Optimization Method and Parallel Computing in the Cloud by Xavier Andrés Arcentales, Danilo Andrés Arcentales, Wilfredo Montealegre

“…This work aims to develop a parallelized computational algorithm in MATLAB version R2020a to design the rotor of a radial flow in a centrifugal pump using the finite-element method (FEM), topology optimization method (TOM), and parallel cloud computing (bare-metal vs. virtual machine). …”
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New Strategies Based on Hierarchical Matrices for Matrix Polynomial Evaluation in Exascale Computing Era by Luisa Carracciuolo, Valeria Mele

“…Historically, improvements in computing platforms were mostly dependent on simultaneous developments in hardware, software, architecture, and algorithms (a process known as co-design), which raised the performance of computational models. …”
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Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors by Yun Ji, Lin Wang, Yinfeng Long, Jinyong Wang, Haofei Zheng, Zhi Gen Yu, Yong-Wei Zhang, Kah-Wee Ang

“…Our findings highlight the potential of ZnPS3-based adaptive neuromorphic computing for energy-efficient spatiotemporal signal processing and recognition, advancing the development of ultralow-energy brain-inspired computing systems.…”
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A Security-enhanced Advertising Platform based on Blockchain and Edge Computing in Generative AI by Zhengjun Jing, Xiaolong Xu, Chunseng Gu, Yan Zhang, Qiang Shu

“…Combining blockchain and edge computing technology, this paper builds a security-enhanced outdoor advertising platform. …”
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Initiatives of Female Empowerment in Computing Implemented at the High School Level: A Systematic Mapping by Ramayane Bonacin Braga, Mirelle Amaral de São Bernardo, Sara Luiz de Farias, Thalia Santos de Santana, Marcos de Moraes Sousa

“…Only primary studies returned in an automated search process were considered, without combining them with other search strategies. …”
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Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing by Puneeta Singh, Shrddha Sagar, Sofia Singh, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…Abstract The Crucial and costly process of verifying medical documents frequently depends on centralized databases. …”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…This paper proposes a design scheme of distributed energy management system based on edge computing and machine learning, and optimizes it. The system reduces data transmission latency and improves energy scheduling efficiency by performing real-time data processing and analysis on edge devices. …”
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A Systematic Literature Review on Risk Assessment in Cloud Computing: Recent Research Advancements by Saadia Drissi, Meriyem Chergui, Zakaria Khatar

“…Additionally, it addresses process for future research work to enhance RA according many criteria.…”
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou, Umesh Kumar Lilhore, Poongodi M, Tao Hai, Sarita Simaiya, Dayang Norhayati Abang Jawawi, Deema Mohammed Alsekait, Sachin Ahuja, Cresantus Biamba, Mounir Hamdi

“…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”
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Rapid learning with phase-change memory-based in-memory computing through learning-to-learn by Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos, Roland Renner, Špela Brglez, Thomas Limbacher, Enrique Piñero, Alejandro Linares-Barranco, Angeliki Pantazi, Robert Legenstein

“…The concept of learning-to-learn (L2L) mimics this process and enables AI models to rapidly adapt with only little computational effort and data. …”
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Federated Learning-Based Trust Evaluation With Fuzzy Logic for Privacy and Robustness in Fog Computing by Thinh Le Vinh, Huan Thien Tran, Huyen Trang Phan, Samia Le

“…The key contributions include a privacy-preserving federated learning framework specifically tailored for robust trust evaluation in hierarchical fog computing architectures, robust fuzzy logic-based labeling enhancing interpretability and reliability in the trust assessment process, extensive empirical validations demonstrating superior prediction accuracy, computational efficiency, enhanced privacy preservation, and scalability compared to traditional centralized approaches. …”
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