Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks by Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai

“…As the computational demands driven by large model technologies continue to grow rapidly, leveraging GPU hardware to expedite parallel training processes has emerged as a commonly-used strategy. …”
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YOLO-SCNet: A Framework for Enhanced Detection of Small Lunar Craters by Wei Zuo, Xingye Gao, Di Wu, Jiaqian Liu, Xingguo Zeng, Chunlai Li

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Analysis of autonomous UAV navigation methods in GPS dead zones by A.R. Kravchuk, A.H. Tkachuk, O.O. Dobrzhanskyi, Yu.V. Bogoyavlenska, D.Yu. Tkachuk

“…Particular attention is paid to the characteristics of navigation systems: positioning accuracy, processing latency, requirements for computing resources, reliability in different conditions and energy consumption level. …”
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Service Caching in Multi-Tier Fog Radio Access Networks by Ayaz Ahmad, Adel Aldalbahi, Fawad Ahmad, Sher Ali

“…Fog computing, which performs data processing at the edge of the network, is a promising solution for increasing user satisfaction rates while decreasing latency and energy consumption. …”
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Psychological Network Analysis for Risk and Protective Factors of Problematic Social Media Use by Suzan M. Doornwaard, Vladimir Hazeleger, Ina M. Koning, Albert Ali Salah, Sven Vos, Regina J. J. M. van den Eijnden

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Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification by Tahir Arshad, Bo peng, Ali Rahman, Rahim khan, Sajid Ullah khan, Sultan Alnazi, Nazik Alturki

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Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review by Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao, S Kannadhasan, M Suganya

“…However existing works mainly focus on conventional ML models without provide systems design real world applications systems and do not include any dimension related to network security dimension, cost and benefit analyzing dimension utility dimension and light weight A.I model for edge computing. In this paper, we contribute with a systematic literature review of state-of-the-art data-mining techniques for predictive maintenance with emphasis on hybrid AI frameworks, deep learning and online data processing approaches, as well as, privacy-aware methods. …”
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Assessing left main bifurcation anatomy and haemodynamics as a potential surrogate for disease risk in suspected coronary artery disease without stenosis by R. Gharleghi, M. Zhang, C. Shen, M. Webster, C. Ellis, S. Beier

“…The Left Main coronary bifurcations of 127 patients with suspected coronary artery disease in the absence of significant stenosis were segmented from CTCA images before computing the local haemodynamics. We correlated 11 coronary anatomical characteristics with the normalised lumen area exposed to adverse haemodynamics linked with atherosclerotic processes. …”
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GenePixKolor (GPK) Fusion: A Novel Evolutionary Algorithm-Based Optimized NFT Card Generation and Rarity Ranking Method for Gaming Tokenomics by J. Guruprakash, P. Pradeep, L. B. Krithika

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Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

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Temporal Dynamics in Short Text Classification: Enhancing Semantic Understanding Through Time-Aware Model by Khaled Abdalgader, Atheer A. Matroud, Ghaleb Al-Doboni

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An Unsupervised Integrated Framework for Arabic Aspect-Based Sentiment Analysis and Abstractive Text Summarization of Traffic Services Using Transformer Models by Alanoud Alotaibi, Farrukh Nadeem

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YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images by Prabu Selvam, P. Shanmuga Sundari, M. Tamilselvi, T. Suresh, M. Murugappan, Muhammad E. H. Chowdhury

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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

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Scalable and Efficient Multi-Class Brain Tumor Classification with a Compact Hybrid Deep Learning Model for Real-Time Applications by Sohaib R. Awad, Amar I. Daood, Akram A. Dawood

“… Medical diagnostics require brain tumor classification to operate in real-time so the task demands accurate results with efficient processing abilities. A new hybrid deep learning solution merges convolutional neural networks (CNNs) with support vector machines (SVMs) to improve classification results as this paper describes. …”
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Trends in digitalization of financial and economic activities of companies in Ukraine by A.Yu., M.Р., S.М., I.V., O.А.

“…The paper develops the main ways to improve the digital transformation of Ukrainian business: 1) creation of business site (very critical for industries with a high value of having a website); 2) providing all employees with access to the Internet; 3) improving the functionality of the website (following market trends); 4) assessment of the feasibility of purchasing a cloud computing service depends on business's specific; 5) providing the opportunity for payments by smartphones and other NFC devices when making contactless payments; 6) transition to sending invoices in electronic form purchased for automated processing (depending on the customer base).…”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…Additionally, the execution speed and high computational resource demands of complex prediction models make them difficult to deploy on edge computing nodes such as wind farms. …”
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Analysis of Subgradient Extragradient Iterative Schemes for Variational Inequalities by Danfeng Wu, Li-Jun Zhu, Zhuang Shan, Tzu-Chien Yin

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Spinning Dust Radiation: A Review of the Theory by Yacine Ali-Haïmoud

“…The fundamentally simple problem of dust grain rotation appeals to a rich set of concepts of classical and quantum physics, owing to the diversity of processes involved. Rotational excitation and damping rates through various mechanisms are discussed, as well as methods of computing the grain angular momentum distribution function. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

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