Cross-Modal Behavioral Intelligence in Regard to a Ship Bridge: A Rough Set-Driven Framework with Enhanced Spatiotemporal Perception and Object Semantics by Chen Chen, Yuenan Wei, Feng Ma, Zhongcheng Shu

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An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells by Taras Savchenko, Ruslana Lakhtaryna, Anastasiia Denysenko, Anatoliy Dovbysh, Sarah E. Coupland, Roman Moskalenko

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A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval by Min Pan, Yu Liu, Jinguang Chen, Ellen Anne Huang, Jimmy X. Huang

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A Hybrid Deep Transfer Learning-based Approach for COVID-19 Classification in Chest X-ray Images by Khosro Rezaee, Afsoon Badiei, Hossein Ghayoumi Zadeh, Saeed Meshgini

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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

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Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

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K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain by Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni

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A Latency-Aware and Resource-Efficient Content Caching Scheme for Content-Centric Networks by Yasar Khan, Rao Naveed Bin Rais, Osman Khalid, Imran Ali Khan

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Construction on labor education platform based on RuoYi-Cloud by Zhang Jiaming, Zhou Jie, Zhou Beiping

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Exploring New Nitrogen-Rich Compounds: Hybrid First-Principle Calculations and Machine-Learning Algorithms by Hang Zhou, Jie Wu, Jiangtao Yang, Qingyang Fan

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Understanding and predicting trends in adsorption energetics on monolayer transition metal dichalcogenides by Brian H. Lee, Jameela Fatheema, Deji Akinwande, Wennie Wang

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Construction of Flexible Deterministic Sparse Measurement Matrix in Compressed Sensing Using Legendre Sequences by Haiqiang Liu, Ming Li, Caiping Hu

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Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning by Yukta Mehta, Vincent Lo, Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Eugene Chang, Jerry Gao

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Prediction of regional water resources carrying capacity based on stochastic simulation: A case study of Beijing-Tianjin-Hebei Urban Agglomeration by Wentao Xu, Junliang Jin, Jianyun Zhang, Shanshui Yuan, Ming Tang, Yanli Liu, Tiesheng Guan

“…Traditional prediction methods obtained a definite WRCC value but fail to reflect the uncertainty of WRCC changes and limit reference for the optimal allocation of water resources. To ensure the accuracy, availability and comprehensiveness of prediction, this paper adopts the improved principal component analysis (PCA) to screen indicators, and predicts the WRCC through the coupled model of Monte Carlo and Grey Wolf Optimization-Support Vector Machine(GWO-SVM), addressing single result issues and computational complexity. …”
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From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence by Saeed Iqbal, Adnan N. Qureshi, Faheem Khan, Khursheed Aurangzeb, Muhammad Azeem Akbar

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Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects by Soheil Mohseni, Alan C. Brent

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Emo-SL Framework: Emoji Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment Analysis by Manar Alfreihat, Omar Saad Almousa, Yahya Tashtoush, Anas AlSobeh, Khalid Mansour, Hazem Migdady

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Exploring the Relationship Between Visceral Fat and Coronary Artery Calcification Risk Using Metabolic Score for Visceral Fat (METS-VF) by Jiun-Chi Huang, Ya-Chin Huang, Chia-Hsin Lu, Yun-Shiuan Chuang, Hsu-Han Chien, Chia-I Lin, Ming-Fang Chao, Hung-Yi Chuang, Chi-Kung Ho, Chao-Ling Wang, Chia-Yen Dai

“…The optimal METS-VF cut-off value was 6.4 for predicting CAC. …”
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Learning and Evolution: Factors Influencing an Effective Combination by Paolo Pagliuca

“…Results are obtained in five qualitatively different domains: (i) the 5-bit parity task, (ii) the double-pole balancing problem, (iii) the Rastrigin, Rosenbrock and Sphere optimization functions, (iv) a robot foraging task and (v) a social foraging problem. …”
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Theorical study on mechanical properties of AZ31B Magnesium alloy Sheets under multiaxial loading by A. Znaidi, O. Daghfas, S. Guellouz, R. Nasri

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