Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…This manuscript proposes a parallel k means for image processing (PKIP) algorithm using multiprocessing and distributed computing to assess the adhesion failure in WMA and HMA samples subjected to three different moisture sensitivity tests (dry, one, and three freeze-thaw cycles) and fractured by indirect tensile test. …”
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STUDY OF THE STABILITY OF THE SUBSTANCE 3-[2-(4-PHENYL-1-PIPERAZINO)-2-OXOETHYL]QUINAZOLINE-4(3Н)-ONE UNDER STRESSFUL CONDITIONS by T. A. Gendugov, A. A. Glushko, A. A. Ozerov, L. I. Shcherbakova

“…The following laboratory equipment was used: HPLC chromatograph, HPLC-MS, centrifuge, electronic scales, pH meter, thermostat, laboratory filters. The computational experiment was conducted on a computer with an Intel Xeon E3-1230 processor using the programs ORCA 4.1. and GROMACS 2019.Results. …”
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Performance Portrait Method: Robust Design of Predictive Integral Controller by Mikulas Huba, Pavol Bistak, Jarmila Skrinarova, Damir Vrancic

“…It can be supported by the implementation of parallel calculations with optimized decomposition in the high-performance computing (HPC) cloud. The wide applicability of PPM ranges from verification of analytically calculated optimal settings achieved by various approaches to controller design, to the analysis as well as optimal and robust setting of controllers for processes where other known control design methods fail. …”
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Evaluation of agricultural extension model sites approach in Iran by Malihe Salehi, Enayat Abbasi, Masoud Bijani, Mohammad Reza Shahpasand

“…The comparison results demonstrated that the mean values of the experts’ views towards all items at different evaluation stages (i.e., context, input, process, product, output, and re-engineering) were higher compared with those of the farmers. …”
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Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles by Haoye Chai, Supeng Leng, Jianhua He, Ke Zhang

“…It is crucial to ensure the reliability during the vehicle-to-vehicle interaction process. Although the emerging blockchain has superiority in handling security-related issues, existing blockchain-based schemes show weakness in highly dynamic IoV. …”
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Evaluation framework for the generation of continental bare surface reflectance composites by Paul Karlshoefer, Pablo d’Angelo, Jonas Eberle, Uta Heiden

“…This study presents a novel approach to evaluate the process of computing bare SRCs across large geographical areas. …”
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Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

“…The system is designed to process and analyze diverse data streams from multiple sources, such as IoT sensors, enabling rapid and informed responses to emergencies prioritizing emergency responder (Police, fire brigade, hospital or emergency contacts etc.). …”
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Semi-automated data provenance tracking for transparent data production and linkage to enhance auditing and quality assurance in Trusted Research Environments by Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Bernhard Scheliga, Chinasa Odo, Katie Wilde

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Resonant Absorption and Fluctuations via Hybrid Simulations on Coronal Loops. I. Plasma Multifluid Description by Hugo A. Carril, Jaume Terradas, Roberto E. Navarro, Adolfo F. Viñas, Marcel Goossens

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Design in Modern Information Systems by Applying Cloud Technologies by Tigariev V., Lopakov O., Rybak O., Kosmachevskiy V., Cioată V. G.

“…In this paper, the protective mask was created by applying modern cloud computing technologies using information models. Information models were adapted to the process of protective mask design. …”
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A mutual exclusion key pairing scheme for preserving the privacy of channel shared 5G users by Meshari D. Alanazi, Mohammed Albekairi, Turki M. Alanazi, Salwa Othmen, Chahira Lhioui, Ayman Alfahid, Ghulam Abbas, Ahmed Emara

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Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks by Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam

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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…To address this issue, based on standard Gaussian process regression (GPR) models that primarily utilize a single Gaussian kernel to reflect the inverse-square law in free space, a novel multi-kernel Gaussian process regression (MK-GPR) model is proposed for high-fidelity radiation mapping in environments with physical obstructions. …”
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MM DialogueGAT—A Fusion Graph Attention Network for Emotion Recognition Using Multi-Model System by Rui Fu, Xiaomei Gai, Ahmed Abdulhakim Al-Absi, Mohammed Abdulhakim Al-Absi, Muhammad Alam, Ye Li, Meng Jiang, Xuewei Wang

“…Emotion recognition is an important part of human-computer interaction and human communication information is multi-model. …”
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Utilizing IoT Sensors and Spatial Data Mining for Analysis of Urban Space Actors’ Behavior in University Campus Space Design by Krzysztof Koszewski, Robert Olszewski, Piotr Pałka, Renata Walczak, Przemysław Korpas, Karolina Dąbrowska-Żółtak, Michał Wyszomirski, Olga Czeranowska-Panufnik, Andrzej Manujło, Urszula Szczepankowska-Bednarek, Joanna Kuźmicz-Kubiś, Anna Szalwa, Krzysztof Ejsmont, Paweł Czernic

“…The aim of the research was to develop a methodology for the use of IoT and edge computing for the acquisition of spatial knowledge based on spatial big data, as well as for the development of an open (geo)information society that shares the responsibility for the process of shaping the spaces of smart cities. …”
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Sensor-Generated In Situ Data Management for Smart Grids: Dynamic Optimization Driven by Double Deep Q-Network with Prioritized Experience Replay by Peiying Zhang, Siyi Li, Dandan Li, Qingyang Ding, Lei Shi

“…In this context, in situ computing, as a paradigm for local or near-source data processing within cloud-edge-end architecture, is gradually becoming a key technological pathway in industrial systems. …”
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Alzheimer’s Disease Detection Using Deep Learning and Federated Learning by Taha Bin Niaz, Usman Amjad, Humera

“…Most automatic detection or classification systems based on deep learning present confidentiality concerns due to their use of integrated computing and local storage data requirements for training. …”
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Power Estimation and Energy Efficiency of AI Accelerators on Embedded Systems by Minseon Kang, Moonju Park

“…Although cloud-based AI processing has been the dominant approach, its high energy consumption calls for more energy-efficient alternatives. …”
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Cloud-Based Collaborative Media Service Framework for HealthCare by M. Shamim Hossain, Ghulam Muhammad

“…However, due to the challenge of providing such service to users in terms of computations, communications, processing, and storage, there is a growing need for an infrastructure to have on-demand access to a shared pool of configurable computing resources (e.g., networks, storages, servers, applications, and services). …”
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Virtual Simulation Management of Data Traffic Optimization of Big Data Cloud Platform considering Multipoint Mapping Algorithm by Haibo Wu

“…With the continuous development of Internet, cloud computing, and other technologies, build a cloud platform based on Cloud Computing Center, but how to effectively carry out operation and maintenance and face users to ensure the continuity and effectiveness of the platform is extremely important. …”
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