A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries by Aitolkyn Baigutanova, Sungkyu Park, Marios Constantinides, Sang Won Lee, Daniele Quercia, Meeyoung Cha

“…The recordings were sampled every 100 ms, allowing for short-term HRV computation based on 5-minute segments of raw data. …”
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Assessing the Relevance of Cloud Computing for Micro, Small and Medium Enterprises in the Northern Region of India by Devesh Kumar, Harsh Vardhan Samalia, Piyush Verma

“…Perceived benefits, perceived ease of use, cost advantage, simplicity, affordability, scalability, rapid implementation and improved business continuity were the major benefits revealed in this study whereas, security, privacy, reliability and vendor lock-in concern emerged as the main challenges in using cloud computing by the MSMEs. …”
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Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot by Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai

“…The continuing prominence of machine learning has led to an increased focus on enhancing the inference performance of edge devices to reduce latency and improve efficiency. …”
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Application of Cloud Simulation Techniques for Robotic Software Validation by Diogo Vieira, Miguel Oliveira, Rafael Arrais, Pedro Melo

“…Continuous Integration and Continuous Deployment are known methodologies for software development that increase the overall quality of the development process. …”
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Fast, Robust, and Laser-Free Universal Entangling Gates for Trapped-Ion Quantum Computing by Markus Nünnerich, Daniel Cohen, Patrick Barthel, Patrick H. Huber, Dorna Niroomand, Alex Retzker, Christof Wunderlich

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A comparison of computing-in-memory with non-volatile memory types and SRAM in DNN training by Shuai Zhou, Yanfeng Jiang

“…In recent years, as Deep Neural Network (DNN) has been widely used in various artificial intelligence (AI) applications, the demands for energy efficiency and computational speed have continuously increased. Computing-in-Memory (CIM), as a potential solution, can significantly reduce the energy consumption and the delay caused by data transmission. …”
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Research on the architecture of space-ground integrated information network: integration of communication, networking and computing by Zhigang YU, Xu FENG, Zhaoxiang HUANG, Zhou LU

“…With the continuous expansion of human activities from the terrestrial to the ocean and space, the countries all over the world have advanced the layout of space-ground integrated information network to provide seamless coverage and ubiquitous connection services.Space-ground integrated information network is the deep integration of space network and terrestrial network, not the expansion of terrestrial network to space environment.Starting from the perspective of integration, firstly the development status, existing problems and challenges of the internet, public land mobile network (PLMN), and space networks were sorted out.Secondly, the research status of the space-ground integrated information network architecture and the development trend of the new network architecture such as cloudification and intelligence was summarized.Thirdly, a communication-networking-computing integrated space-ground integrated information network architecture was proposed from different dimensions: physical architecture, functional architecture (including the integrated communication system, the integrated network system and the integrated information system), physical-functional architecture mapping problem.Finally, the network architecture optimization problem was modeled as a multi-objective optimization problem.It was expected to provide valuable suggestions and references for the research, construction and standardization of space-ground integrated information network.…”
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Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications by Ahmed M. Alwakeel

“…The ARMO model leverages intelligent task scheduling, dynamic resource allocation, and energy-efficient strategies to enhance the performance of edge computing environments. Our comprehensive methodology involves collecting and preprocessing data from IoT devices, extracting relevant features, predicting resource demand, optimizing task offloading, and continuously monitoring and adjusting resource allocation using advanced machine learning techniques. …”
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The role of quantum computing in advancing plasma physics simulations for fusion energy and high-energy by Yifei Yang

“…In this review, Quantum Computing (QC) is explored as a means to drive plasma physics simulations forward by providing applications such as fusion energy and high-energy systems. …”
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A Literature Review Research on Monitoring Conditions of Mechanical Equipment Based on Edge Computing by Liqiang Song, Huaiguang Wang, Zhiyong Shi

“…The motivation of this research is to review all methods used in data compression of collected data in monitoring the condition of equipment based on the framework of edge computing. Since a large amount of signal data is collected when monitoring conditions of mechanical equipment, namely, signals of running machines are continuously transmitted to be crunched, compressed data should be handled effectively. …”
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Combined digital media technology and advanced computing science in folk art design application by Xingxing Fu

“…With the continuous development of intelligent computer technology, its application in the field of art and design is becoming increasingly widespread. …”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…In order to meet these challenges, edge computing and machine learning technology are widely used in the design and optimization of distributed energy management systems. …”
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SREHA: An Efficient Handover Authentication Scheme Based on Social Relationships in Mobile Edge Computing by Ziwang Wang, Liang Wang, Huili Yan, Zhize Wu

“…The results demonstrate that our scheme effectively reduces the time delay of the handover authentication process, and exhibits lower computational overhead and higher security compared to existing schemes.…”
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Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering by Prashanth Choppara, S. Sudheer Mangalampalli

“…Task scheduling in distributed cloud and fog computing applications must be efficient to optimize resource utilization, minimize latency, and comply with strict service level agreements. …”
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Exact and Approximation Algorithms for Task Offloading with Service Caching and Dependency in Mobile Edge Computing by Bowen Cui, Jianwei Zhang

“…Mobile edge computing, as a promising computational model, is receiving growing attention. …”
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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

“…Driven by observed non-trivial improvements in performance over digital processors while solving linear partial differential equations (PDEs), this paper presents experimental results and analysis from a single-chip CMOS analog computer for solving nonlinear PDEs. The chip integrates a 15-point fully-parallel spatially-discrete time-continuous (SDTC) finite difference time-domain (FDTD) solver for acoustic shock wave equations with radiation boundary conditions. …”
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Numerical analysis of free vibration of cross-ply thick laminated composite cylindrical shells by continuous element method by Ta Thi Hien, Tran Ich Thinh, Nguyen Manh Cuong

“…A computer program is developed for performing numerical calculations and results from specific cases are presented. …”
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Deep deterministic policy gradient - model-agnostic meta-learning framework: Efficient adaptation in continuous control tasks by Ebrahim Hamid Sumiea, Said Jadid Abdulkadir, Hitham Seddig Alhussian, Safwan Mahmood Al-Selwi, Alawi Alqushaibi, Mohammed Gamal Ragab, Abdul Muiz Fayyaz

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Placement Strategies for Water Quality Sensors Using Complex Network Theory for Continuous and Intermittent Water Distribution Systems by Amrita Namtirtha, K. R. Sheetal Kumar, Sejal Jain, Yogesh Simmhan, M. S. Mohan Kumar

“…Optimization‐based approaches offer better placement but are computationally costly and require detailed knowledge of the WDS. …”
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A Path-Driven Fluid Routing and Scheduling Method for Continuous-Flow Microfluidic Biochips with Delay Time Optimization by Zhisheng Chen, Bowen Liu, Hongjin Su, Zhen Chen, Genggeng Liu, Xing Huang

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