Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities by Min-Su Kang, Dong-Hee Lee, Mahdi Sadeqi Bajestani, Duck Bong Kim, Sang Do Noh

“…Then, an E-DT for Wire+Arc Additive Manufacturing (WAAM) is developed, its performance is evaluated, and the benefits of edge computing in enhancing real-time processing and decision-making are verified. …”
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A Visual Review and Bibliometric Analysis of Cloud Computing Traffic Flow Forecasting for a Digital Africa by Sello Prince Sekwatlakwatla, Vusumuzi Malele

“…This paper conducted a bibliographic study based on the Scopus database and the Institute of Electrical and Electronics Engineers (IEEE) to evaluate the adoption rate of resource management and traffic flow forecasting in cloud computing in Africa. …”
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A Security-Awareness Virtual Machine Management Scheme Based on Chinese Wall Policy in Cloud Computing by Si Yu, Xiaolin Gui, Jiancai Lin, Feng Tian, Jianqiang Zhao, Min Dai

“…Cloud computing gets increasing attention for its capacity to leverage developers from infrastructure management tasks. …”
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Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports by Ümit Gökkuş, Mehmet Sinan Yıldırım, Metin Mutlu Aydin

“…In this study, performances of the novel soft computing models were compared for the container traffic forecasting of principal Turkish seaports (Istanbul, Izmir, and Mersin seaports) with excessive container traffic. …”
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An ICN-Based Delay-Sensitive Service Scheduling Architecture with Stateful Programmable Data Plane for Computing Network by Ranran Wei, Rui Han

“…The Computing Network is an emerging paradigm that integrates network and computing resources. …”
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Analysis of the thermal distribution of a porous radial fin influenced by an inclined magnetic field with neural computing by Shazia Habib, Waseem, Zeeshan Khan, Salah Boulaaras, Mati ur Rahman, Saeed Islam, Rafik Guefaifia

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Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT by Mahmoud Chaira, Abdelkader Belhenniche, Roman Chertovskih

“…We evaluate multiple machine learning models, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Transformer architectures, and LightGBM, using the CICDDoS2019 dataset. …”
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A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing by Shouqiang Huang, Kai Li, Kai Li, Chen Wang, Jiakang Liu, Shuwu Li, Yuting Tu, Bo Wang, Huangqin Feng, Qin Yu, Hongzhou Lin, Yuzhe Xu, Jinghang Wu, Ting Zhang, Tong Chen

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NOVA: A Retrieval-Augmented Generation Assistant in Spanish for Parallel Computing Education with Large Language Models by Gabriel A. León-Paredes, Luis A. Alba-Narváez, Kelly D. Paltin-Guzmán

“…This work presents the development of NOVA, an educational virtual assistant designed for the Parallel Computing course, built using a Retrieval-Augmented Generation (RAG) architecture combined with Large Language Models (LLMs). …”
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Disturbance‐Aware On‐Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator by Jaehyeon Kang, Jongun Won, Narae Han, Sangjun Hong, Jee‐Eun Yang, Sangwook Kim, Sangbum Kim

“…Abstract On‐chip training in analog in‐memory computing (AIMC) holds great promise for reducing data latency and enabling user‐specific learning. …”
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Accurate modeling of equilibrium adsorption of liquid phase sulfur compounds using two soft computing approaches by Armin Mohebbi, Maryam Ahmadi-Pour, Milad Mohebbi

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Enhancing Vehicle Location Prediction Accuracy with Road-Aware Rectification for Multi-Access Edge Computing Applications by Asif Mehmood, Afaq Muhammad, Faisal Mehmood, Wang-Cheol Song

“…In future 6G networks, real-time and accurate vehicular data are key requirements for enhancing the data-driven multi-access edge computing (MEC) applications. Existing estimation techniques to forecast vehicle position aim to meet the real-time data needs but compromise accuracy due to a lack of context awareness. …”
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Providing an Expert System to Manage Energy Consumption in Small- and Medium-Sized Industries Using Soft Computing by Iman Koravand, Mohammad Reza Lotfi, Seyed Ahmad Shayannia

“…Therefore, the main advantage of the research is to provide an expert system for the correct management of energy consumption in small and medium industries using soft computing. Another advantage of the research is the use of uncertain decision-making variables in this field; instead of using words and linguistic restrictions in this research, modeling them in the system using the principles of fuzzy logic is used. …”
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MPJ-SPARK Integration-Based Technique to Enhance Big Data Analytics in High Performance Computing Environments by Sakhr A. Saleh, Maher A. Khemakhem, Fathy E. Eassa

“…Traditional analytics tools lag HPC in computational efficiency, whereas machine learning workloads require substantial resources. …”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…This not only alleviates the computational burden on MEC servers but also makes full use of the idle computing resources of terminal devices, thereby enhancing resource utilization efficiency. …”
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PERFORMANCE ANALYSIS AND EVALUATION OF MASSIVE MIMO SYSTEM by Muaayed F. AL-RAWI, Izz K. ABBOUD, Nasir A. AL-AWAD

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An Overview of the Empirical Evaluation of Explainable AI (XAI): A Comprehensive Guideline for User-Centered Evaluation in XAI by Sidra Naveed, Gunnar Stevens, Dean Robin-Kern

“…Various approaches, including new concepts, models, and user interfaces, aim to improve explainability, build user trust, enhance satisfaction, and increase task performance. Evaluation research has emerged to define and measure the quality of these explanations, differentiating between formal evaluation methods and empirical approaches that utilize techniques from psychology and human–computer interaction. …”
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“Can computed tomographic angiography” solve the puzzle of complexities in the pediatric complex congenital heart disease’s by Javaid Iqbal, Sheikh Riaz Rasool, Tariq Ahmad Gojwari, Naseer Ahmad Choh, Moonisah Rafiq

“…Background: Accurate evaluation of cardiac and extracardiac anomalies in complex congenital heart diseases (CHDs) is vital for diagnosis and management. …”
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Could the use of computed tomography and transesophageal echosonography decrease the number of explorative thoracotomy in the lung carcinoma? by Ranković Boško

“…Resectability evaluation by computed tomography, burdened by many falsely negative results, could lead to 15 (30.61%) explorative thoracotomies. …”
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A Degrading Potassium Tablet Mimicking Active Gastric Bleeding in a Computer Tomographic Investigation by J. P. Commandeur, A. Metwaly, L. Büchler, J. Speiser, L. Brander, A. Reintam Blaser

“…In a contrast media-enhanced computed tomography scan performed five days after admission to evaluate dynamics of the hematoma, a hyperdense lesion was seen in the stomach. …”
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