Seismic fault identification method based on CBAM-TransUNet by Xin WANG, Wei ZHANG, Tongjun CHEN, Ao ZHANG, Dang ZHAO

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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

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Comprehensive investigation of rooftop photovoltaic power plants with monocrystalline polycrystalline and thin-film technologies for exergy economic and environmental assessments by Abdelhak Lekbir, Samir Hassani, Putri Nor Liyana Mohamad Radzi, Saad Mekhilef, Kok Soon Tey, Abdullahi Mohamed Samatar, Obaid Alshammari

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Symmetrized Neural Network Operators in Fractional Calculus: Caputo Derivatives, Asymptotic Analysis, and the Voronovskaya–Santos–Sales Theorem by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales, Gislan Silveira Santos

“…The theoretical framework is thoroughly validated through applications in signal processing and fractional fluid dynamics, including the formulation of nonlocal viscous models and fractional Navier–Stokes equations with memory effects. …”
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Synergizing vision transformer with ensemble of deep learning model for accurate kidney stone detection using CT imaging by Arwa Alzughaibi, Adwan A. Alanazi, Mohammed Alshahrani, Ines Hilali Jaghdam, Abaker A. Hassaballa

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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

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Transfer learning with class activation maps in compositions driving plaque classification in carotid ultrasound by Georgia D. Liapi, Christos P. Loizou, Maura Griffin, Constantinos S. Pattichis, Constantinos S. Pattichis, Andrew Nicolaides, Efthyvoulos Kyriacou

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Approximate String Matching with Non-Overlapping Adjacent Unbalanced Translocations by Domenico Cantone, Simone Faro, Arianna Pavone

“…Such large-scale modifications of strings have various applications, notably in fields such as computational biology and genomics, where structural rearrangements play a key role. …”
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ELD-YOLO: A Lightweight Framework for Detecting Occluded Mandarin Fruits in Plant Research by Xianyao Wang, Yutong Huang, Siyu Wei, Weize Xu, Xiangsen Zhu, Jiong Mu, Xiaoyan Chen

“…Our method incorporates edge-aware processing to strengthen feature representation, introduces a streamlined detection head that balances accuracy with computational cost, and employs an adaptive upsampling strategy to minimize information loss during feature scaling. …”
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Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System by Mert Bal, M. Fatih Amasyali, Hayri Sever, Guven Kose, Ayse Demirhan

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Multi-sensor fusion algorithm in cooperative vehicle-infrastructure system for blind spot warning by Chao Xiang, Li Zhang, Xiaopo Xie, Longgang Zhao, Xin Ke, Zhendong Niu, Feng Wang

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Distributed flexible resource regulation strategy for residential communities based on deep reinforcement learning by Tianyun Xu, Tao Chen, Ciwei Gao, Meng Song, Yishen Wang, Hao Yuan

“…This proposed strategy is modelled as a sequential decision‐making framework with a Markov decision process, informed by physical states and external information. …”
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Automatic Disease Detection from Strawberry Leaf Based on Improved YOLOv8 by Yuelong He, Yunfeng Peng, Chuyong Wei, Yuda Zheng, Changcai Yang, Tengyue Zou

“…Furthermore, a parameter-sharing diverse branch block (DBB) sharing head is constructed to improve the model’s target processing ability at different spatial scales and increase its accuracy without adding too much calculation. …”
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Integration of Plasmonic Nanoheaters for Rapid and Tunable Light‐Driven Phase Transitions in VO₂ Nanocomposites by Shankar Acharya, Aaron Hutchins, Opeyemi Akanbi, Hong Tang, Yingjie Zhang, Hualiang Zhang, Wei Guo

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Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost by Chao Luo, Banteng Liu, Jiayu Chai, Zhijian Teng

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Thermal modeling techniques designed for high-speed directed energy deposition coatings by Shiho TAKEMURA, Yuichiro MIYATA, Yoko HIRONO, Yasuhiro KAKINUMA

“…Therefore, thermal simulations of DED are highly demanded due to the time and cost challenges associated with experimenting across different process parameters. However, thermal simulations of DED have difficulties because of the process by which material and heat source are supplied from time to time to the melt pool. …”
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The JPEG Pleno Learning-Based Point Cloud Coding Standard: Serving Man and Machine by Andre F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira

“…The geometry is processed directly in its original 3D form using sparse convolutional neural networks, while the color data is projected onto 2D images and encoded using the also learning-based JPEG AI standard. …”
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Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches by Naveen Kumar Vaegae, Kranthi Kumar Pulluri, Kalapraveen Bagadi, Olutayo O Oyerinde

“…Owing to the technological advancement in recent times, modern-day technologies such as computer vision, image processing, and machine learning techniques can further support the efforts of governments to prevent accidents caused by distracted driving. …”
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University english teaching evaluation using artificial intelligence and data mining technology by Qiuyang Huang, Wenling Li, Mohd Mokhtar bin Muhamad, Nur Raihan binti Che Nawi, Xutao Liu

“…Data from the English teaching and evaluation system for Computer Science students in the 2018 class at Tianjin University of Science and Technology are collected, analyzed, and processed. …”
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Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes by Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang

“…Notably, our method showed superior performance in high-noise environments, reducing false positive rates while maintaining high detection sensitivity. While computational complexity in real-time processing remains a challenge, this study provides a robust solution for non-destructive testing of SWR, potentially improving inspection efficiency and defect localization accuracy. …”
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