Cross-Attention U-Net for Elastic Wavefield Decomposition in Anisotropic Media by Youngjae Shin

“…Traditional methods often rely on solving the Christoffel equation, which is computationally expensive, particularly in heterogeneous models. …”
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Sentiment Analysis of X Users Toward Electric Motorcycles Using SVM and BERT Algorithms by Calvin Adiwinata, Afiyati Afiyati

“…The objective was to evaluate algorithm performance in classifying public sentiment, with metrics including accuracy, precision, recall, and computational efficiency. …”
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Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel by Fariha Ahmed Nishat, M. F. Mridha, Istiak Mahmud, Meshal Alfarhood, Mejdl Safran, Dunren Che

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How do the resting EEG preprocessing states affect the outcomes of postprocessing? by Shiang Hu, Jie Ruan, Pedro Antonio Valdes-Sosa, Zhao Lv

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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

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Influence of Regional PM2.5 Sources on Air Quality: A Network-Based Spatiotemporal Analysis in Northern Thailand by Khuanchanok Chaichana, Supanut Chaidee, Sayan Panma, Nattakorn Sukantamala, Neda Peyrone, Anchalee Khemphet

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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

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An Optimal Multi-Zone Fast-Charging System Architecture for MW-Scale EV Charging Sites by Sai Bhargava Althurthi, Kaushik Rajashekara

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Real-time analysis of soccer ball–player interactions using graph convolutional networks for enhanced game insights by Fahad Majeed, Maria Nazir, Kamilla Swart, Marco Agus, Jens Schneider

“…Our approach leverages the power of deep computer vision models, employing a CSPDarknet53 backbone for detection and a Graph Convolutional Network (GCN) for predictive analytics. …”
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Ranking Assisted Unsupervised Morphological Disambiguation of Turkish by Hayri Volkan Agun, Ozkan Aslan

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Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

“…AI statistics allow processing entire 24 h forecast series, replacing related real-valued quantities available in learning stage, to compute final PQ targets at the corresponding prediction times. …”
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Comprehensive Review of Wearable Antennas With Flexible Periodic Structures for Body-Effect Mitigation by Adel Ashyap, Raad Raad, Faisel Tubbal, Wajid Ali Khan, Suhila Abulgasem

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Opinion Mining and Analysis Using Hybrid Deep Neural Networks by Adel Hidri, Suleiman Ali Alsaif, Muteeb Alahmari, Eman AlShehri, Minyar Sassi Hidri

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Modeling the Electricity Generation Processes of a Combined Solar and Small Hydropower Plant by Mykola Dyvak, Volodymyr Manzhula, Andriy Melnyk, Nataliia Petryshyn, Tiande Pan, Arkadiusz Banasik, Piotr Pikiewicz, Wojciech M. Kempa

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A novel hybrid convolutional and transformer network for lymphoma classification by Mohamed Yacin Sikkandar, Sankar Ganesh Sundaram, Muteb Nasser Almeshari, S. Sabarunisha Begum, E. Siva Sankari, Yousef A. Alduraywish, Waeal J. Obidallah, Fahad Mansour Alotaibi

“…Abstract Lymphoma poses a critical health challenge worldwide, demanding computer aided solutions towards diagnosis, treatment, and research to significantly enhance patient outcomes and combat this pervasive disease. …”
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Toward Improved Simulations of Disruptive Reservoirs in Global Hydrological Modeling by P. K. Shrestha, L. Samaniego, O. Rakovec, R. Kumar, C. Mi, K. Rinke, S. Thober

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Optimizing Handover Parameters by Q-Learning for Heterogeneous Radio-Optical Networks by Sihua Shao, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D. C. Little, Michael Rahaim

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Attention-Enhanced CNN for High-Performance Deepfake Detection: A Multi-Dataset Study by Subhram Dasgupta, Kushal Badal, Swetha Chittam, Md Tasnim Alam, Kaushik Roy

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Small calcified lesions suggestive of neurocysticercosis are associated with mesial temporal sclerosis by Marcos C. B. Oliveira, Maria G. M. Martin, Miriam H. Tsunemi, Gilson Vieira, Luiz H. M. Castro

“…Patients underwent a structured interview, followed by head computed tomography (CT). A neuroradiologist evaluated the scan for presence of calcified lesions suggestive of NC. …”
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Accelerated Runge-Kutta Methods by Firdaus E. Udwadia, Artin Farahani

“…For orders 3, 4, and 5, they require only 2, 3, and 5 function evaluations per time step, respectively. Therefore, they are more computationally efficient at achieving the same order of local accuracy. …”
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