An Area-Efficient Continuous-Time Ising Machine Featuring Dynamic Threshold Annealing by Yufeng Wu, Xiaofeng Li, Jiayin Song, Yi Zhan, Shushan Qiao

“…In this work, we present a CT Ising machine with an eDRAM-based in-memory computing architecture. The design introduces a neighboring spin computation-sharing architecture that halves the storage overhead of interaction coefficients, thereby significantly reducing the spin cell area. …”
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A Blockchain-Based Self-Sovereign Identity Approach for Inter-Organizational Business Processes by Amal Abid, Saoussen Cheikhrouhou, Slim Kallel, Mohamed Jmaiel

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Integration of B2B system that supports the management of construction processes with ERP systems by Monika Łobaziewicz

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Efficiency of formal verification of ArchiMate business processes with NuSMV model checker by Piotr Szwed

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Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms by Nian-Ze Hu, Bo-An Lin, Yen-Yu Wu, Hao-Lun Huang, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…By integrating visual recognition technology and multi-object recognition into robotic arms, the flexibility and automation of the production process were improved in this study. By applying tiny machine learning (TinyML) and machine vision algorithms, we integrated edge computing devices to control the robotic arms and identified objects precisely on the production line, with ultra-low energy consumption. …”
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A Secure and Efficient Framework for Multimodal Prediction Tasks in Cloud Computing with Sliding-Window Attention Mechanisms by Weiyuan Cui, Qianye Lin, Jiaqi Shi, Xingyu Zhou, Zeyue Li, Haoyuan Zhan, Yihan Qin, Chunli Lv

“…An efficient and secure computation framework based on the sliding-window attention mechanism and sliding loss function was proposed to address challenges in temporal and spatial feature modeling for multimodal data processing. …”
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A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning by Prashanth Choppara, S. Sudheer Mangalampalli

“…This has created a need for more effective methods of processing and managing this data. Conventional cloud computing often fails to fulfill the need of IoT usage in terms of high bandwidth, low makespan, and real-time processing. …”
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A secure and efficient encryption system based on adaptive and machine learning for securing data in fog computing by Priyanka Rajan Kumar, Sonia Goel

“…Abstract Fog computing, as a crucial component of the edge computing paradigm, offers significant advantages in terms of reduced latency and real-time processing. …”
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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

“…The paper addresses the limitations of cloud computing systems. It proposes and replaces a fog computing architecture in supporting low latency for healthcare applications. …”
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Edge Computing-Based Real-Time Forest Fire Detection Using UAV Thermal and Color Images by Lingxia Mu, Yichi Yang, Ban Wang, Youmin Zhang, Nan Feng, Xuesong Xie

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Quantum reservoir probing: An inverse paradigm of quantum reservoir computing for exploring quantum many-body physics by Kaito Kobayashi, Yukitoshi Motome

“…Quantum reservoir computing (QRC) is a brain-inspired computational paradigm that exploits the natural dynamics of a quantum system for information processing. …”
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Applications of multi-GPU computing in large-scale fully kinetic particle-in-cell simulations of space plasma by Q. Y. Xiong, S. Y. Huang, Z. G. Yuan, L. L. Kuang, B. Sharma, K. Jiang, H. H. Wu, L. Yu

“…The rapid development of an emerging computing device, the graphical processing unit (GPU), has significantly enhanced our ability to conduct full kinetic particle-in-cell (PIC) simulations in space physics. …”
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Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…These enhancements help increase the eco-friendly and resourceful nature of edge computing. Results from experiments show that SOResNet improves both performance and energy efficiency in edge data processing for real-time systems.…”
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AN APPROACH PRIORITIZING THE CAUSAL FACTORS OF LARGE SCALED DATA USING SOFT COMPUTING: A CASE STUDY by Jyoti Prakash MISHRA, Zdzislaw POLKOWSKI, Sambit Kumar MISHRA

“…In such situation, it may be difficult for data acquisition and processing. In fact, this complexity can be due to constrain in operations linked to computational resources especially in distributed environments. …”
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Selected Papers from the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2011) by René Cumplido, Peter Athanas, Jürgen Becker

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Edge Computing-Based Video Action Recognition Method and Its Application in Online Physical Education Teaching by Jinzhu Han, Jinjin Zhao, Yan Yue, Xinrui Che

“…However, traditional cloud computing-based intelligent online PE teaching systems often face various challenging issues, such as computational complexity and latency. …”
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A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach by Tengyue Dou, Zhiming Zheng, Wangjie Qiu, Chunxia Ge

“…The framework collects data via smart devices, which is then processed and encrypted at edge nodes and stored securely on the blockchain. …”
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Flow-of-traffic prediction program based mobile edge computing for Internet of vehicles using double auction by Yan LIN, Shuai YAN, Yijin ZHANG, Chunguo LI, Feng SHU

“…With an aim of maximizing the efficiency of edge offloading and the resource utilization of edge computing server simultaneously, a new flow-of-traffic prediction based edge computing offloading solution was proposed for Internet of vehicles (IoV).Firstly, both the efficiency utility function of vehicle and the resource utilization of mobile edge computing (MEC) server were established by considering task priority.Next, the formulated dual-objective optimization problem was transformed into a double auction problem between vehicles and MEC servers.Finally, based on the designed flow-of-traffic based pricing function of vehicle and MEC server, a McAfee auction algorithm was adopted to complete the edge computing process.Simulation results show that benefiting from the flow-of-traffic prediction information, the proposed solution can significantly improve both the efficiency of computation offloading and the utilization of computation resource.…”
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Empowering Diabetes Management Through Blockchain and Edge Computing: A Systematic Review of Healthcare Innovations and Challenges by K. Tlemcani, K. Azbeg, E. Saoudi, L. Fetjah, O. Ouchetto, S. Jai Andaloussi

“…We analyzed 52 studies, categorizing findings into three key areas: enhanced data security and privacy through decentralized frameworks and tamper-proof storage; real-time data processing, enabled by edge computing for immediate analytics and alerts; and scalability, achieved via hybrid architectures that optimize data handling. …”
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Analysis of LMS Implementation Success Based on Information System Success and End-User Computing Satisfaction Models by Rahmat Pambudi, Berlilana Berlilana, Giat Karyono

“…After collecting the data, the next step is to process it using the SEM-PLS multivariate analysis technique, which includes validating the measurement model as well as the structural model. …”
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