Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

“…The Simulink model achieved satisfactory performance under nominal wind conditions but exhibited computational constraints during extreme wind scenarios, leading to compromised output reliability. …”
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Time-Adaptive Machine Learning Models for Predicting the Severity of Heart Failure with Reduced Ejection Fraction by Trevor Winger, Cagri Ozdemir, Shanti L. Narasimhan, Jaideep Srivastava

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Multi-stream feature fusion of vision transformer and CNN for precise epileptic seizure detection from EEG signals by Qi Li, Wei Cao, Anyuan Zhang

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CIELO: Class-Incremental Continual Learning for Overcoming Catastrophic Forgetting With Smartphone-Based Indoor Localization by Akhil Singampalli, Danish Gufran, Sudeep Pasricha

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HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification by Omid Almasi Naghash, Nam Ling, Xiang Li

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Improving Rice Pest Management Through RP11: A Scientifically Annotated Dataset for Adult Insect Recognition by Biao Ding, Yunxiang Tian, Xiaojun Guo, Longshen Wang, Xiaolin Tian

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A comparative study of cognitive impairment in sporadic and familial cases of multiple sclerosis by Vida Niakosari, Ali Namjoo-Moghadam, Ahmad Ali Abin, Maryam Poursadeghfard, Sana Hashemi

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TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…Recent advancements in deep-learning and computer vision technologies, coupled with the availability of large-scale remote-sensing image datasets, have accelerated the progress of remote-sensing object detection. …”
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An online tool based on the Internet of Things and intelligent blockchain technology for data privacy and security in rural and agricultural development by Krishnaprasath Vellimalaipattinam Thiruvenkatasamy, Hayder M. A. Ghanimi, Sudhakar Sengan, Meshal Ghalib Alharbi

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Numerical Analysis of Users’ Body Effects on a Fourteen-Element Dual-Band 5G MIMO Mobile Terminal Antenna by Ahmed Mohamed Elshirkasi, Azremi Abdullah Al-Hadi, Rizwan Khan, Prayoot Akkaraekthalin, Haitham S. Ben Abdelmula, Ahmed M. Belghasem, Akram H. Jebril, Ping Jack Soh

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Simplified Model Characterization and Control of an Unmanned Surface Vehicle by Aldo Lovo-Ayala, Roosvel Soto-Diaz, Carlos Andres Gutierrez-Martinez, Jose Fernando Jimenez-Vargas, Javier Jiménez-Cabas, Jose Escorcía-Gutierrez

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A Network Bounded Adjusted Measure for Assessing the Efficiency of Agricultural and Pastoral Systems with Shared Factors and Undesirable Outputs by Chunhua Chen, Chongyu Ma

“…Subsequently, an overall efficiency model for evaluating the efficiency of agricultural and pastoral systems is developed. …”
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Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

“…Student behavior, influenced by personal, environmental, and academic factors, is often evaluated subjectively, leading to inconsistent results. …”
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Roxadustat for the treatment of anemia in patients with chronic kidney disease: a Meta-analysis by WANG Rui, HU Hong-tao, HU Shuang, HE Hong, SHUI Hua

“…Objective Our study aimed to evaluate the efficacy and safety of roxadustat for the treatment of renal anemia in patients with chronic kidney disease(CKD) by meta-analysis.Methods PubMed, Embase, Cochrane Library, Web of Science, Chinese Biomedical Database, Wanfang Data, VIP database were retrieved for those studies on roxadustat for the treatment of renal anemia by Mar. 2019 through computer. …”
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Comparative In silico Analysis of Enzymatic Degradation Resistance in Resin-matrix Ceramics by Özay Önöral, Ahmet Ozer Sehirli, Emine Erdag

“…This study aimed to evaluate the resistance of RMCs to enzymatic degradation by analyzing the interaction of their organic components with four key esterases. …”
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Ultrafast Laser Beam Profile Characterization in the Front-End of the ELI-NP Laser System Using Image Features and Machine Learning by Tayyab Imran

“…The methodology integrates classical beam diagnostics with image processing and machine learning tools to evaluate anomalies based on high-resolution beam profile images. …”
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Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture by Víctor Hugo de la Cruz Madrigal, Liliana Avelar Sosa, Jose-Manuel Mejía-Muñoz, Jorge Luis García Alcaraz, Emilio Jiménez Macías

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Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning by Zhengyi Lu, Hao Liang, Ming Lu, Xiao Wang, Xinqiang Yan, Yuankai Huo

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Phenotypic Screening of H₁-Antihistamines Identifies Promethazine and Rupatadine as Active Compounds Against <i>Toxocara canis</i> Infective Larvae by Taís C. Silva, Julia Godoy-Silva, Monique C. Amaro, João V. Silva-Silva, Thiago H. Doring, Leonardo L. G. Ferreira, Adriano D. Andricopulo, Josué de Moraes

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Modeling and Control of a 3DOF Robot Manipulator Using Artificial Fuzzy-Immune FOPID Controller by Worod Adris Shutnan, Nora Ahmed Mohammed, Faris Asaad Abdulmunem, Ali Hamzah Najim, Mustafa Yahya Hassan, Naglaa F. Soliman, Abeer D. Algarni

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