Burned area detection based on time-series analysis in a cloud computing environment by J.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano

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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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A Literature Review Research on Monitoring Conditions of Mechanical Equipment Based on Edge Computing by Liqiang Song, Huaiguang Wang, Zhiyong Shi

“…To resolve this problem, this article examines the monitoring conditions of equipment based on edge computing. First, the signal is pre-processed by edge computing, so that the fault characteristics can be identified quickly. …”
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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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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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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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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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Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations by Rene Gassmöller, Harsha Lokavarapu, Eric Heien, Elbridge Gerry Puckett, Wolfgang Bangerth

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Advances in Mathematical Methods for Image and Signal Processing by Feng Gao, Gongzhu Hu, Wenying Feng, Tokuro Matsuo, Vangalur Alagar

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Hardware-Accelerated Data Readout Platform Using Heterogeneous Computing for DNA Data Storage by Xiaopeng Gou, Qi Ge, Quan Guo, Menghui Ren, Tingting Qi, Rui Qin, Weigang Chen

“…This heterogeneous computing acceleration system enables the efficient execution of the entire readout process for DNA data storage. …”
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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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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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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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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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Foreign Body Detection Method for Transmission Equipment Based on Edge Computing and Deep Learning by Yanqiao LU, Cuiying SUN, Hongwei CAO, Hongwei YAN

“…To solve this problem, a foreign body detection method is proposed based on edge computing and deep learning. Different from the existing method that sends UAV pictures back to the cloud server for processing, this method, by sinking the detection calculation to the edge device, uses the target detection method of Mobilenet and optimized SSD to directly make process calculation in the edge device, and sends the pictures of detected foreign bodies back to the cloud server. …”
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Reservoir Computing for Few-Mode Fiber Channel OSNR Monitoring in Deep Learning Frameworks by Jianjun Li, Tianfeng Zhao, Baojian Wu, Kun Qiu, Feng Wen

“…This paper presents a novel optical performance monitoring (OPM) scheme based on reservoir computing (RC) and Resnet network for monitoring the optical signal-to-noise ratio (OSNR) of few-mode transmission channels, without the need for any demodulation process. …”
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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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Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks by Xiaoyi Zhou, Liang Huang, Tong Ye, Weiqiang Sun

“…This paper investigates the multi-Unmanned Aerial Vehicle (UAV)-assisted wireless-powered Mobile Edge Computing (MEC) system, where UAVs provide computation and powering services to mobile terminals. …”
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Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

“…While classical AI methods have shown promise in glioma classification, the growing volume of medical data, inherent noise, and limitations of classical vector spaces present significant challenges. However, quantum computing-based AI methods have the potential to process data in parallel by leveraging quantum properties such as superposition and entanglement, analyze higher-dimensional data more efficiently, and solve certain problems that classical methods struggle with more rapidly and effectively. …”
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Research on Service-Oriented Sharing and Computing Framework of Geographic Data for Geographic Modeling and Simulation by Jin Wang, Lingkai Shi, Xuan Zhang, Kai Xu, Zaiyang Ma, Yongning Wen, Min Chen

“…This paper proposes a service-oriented geographic data-sharing and computing framework, which provides users with a complete set of geographic data access and application processes (such as data acquisition, processing, configuration, etc.), so as to reduce the difficulty of using data and improve the efficiency of data sharing. …”
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