Transforming Brain Tumor Detection Empowering Multi-Class Classification With Vision Transformers and EfficientNetV2 by Anees Tariq, Muhammad Munwar Iqbal, Muhammad Javed Iqbal, and Iftikhar Ahmad

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SpectralEarth: Training Hyperspectral Foundation Models at Scale by Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu

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A Novel Network Optimization Scheme Based on Anti-Flocking and Improved Nash Equilibrium Algorithm by Tianjun Wang, Shuchang Zhang, Lishan Liu, Duanpo Wu, Xinyu Jin, Shuwei Cen, Bing Fan

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What Can N100 and ASSR Assess in Patients With Disorders of Consciousness? by Yuzhen Chen, Hao Li, Qianqian Ge, Xiaoyang Kang, Hui Zheng, Shangen Zhang, Xiaogang Chen, Jianghong He, Xiaorong Gao

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An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios by Junsong Wang, Yuntian Cui, Hongxin Zhang, Haolin Wu, Chen Yang

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Temperature Insensitive Vector Bending Sensor Based on Asymmetrical Cascading SMF-PCF-SMF Structure by Guangwei Fu, Yunpu Li, Qifeng Li, Jiandong Yang, Xinghu Fu, Weihong Bi

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LogiTriBlend: A Novel Hybrid Stacking Approach for Enhanced Phishing Email Detection Using ML Models and Vectorization Approach by Aqsa Khalid, Maria Hanif, Abdul Hameed, Zeeshan Ashraf, Mrim M. Alnfiai, Salma M. Mohsen Alnefaie

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Integrating Cognitive Intelligence and VANET for Effective Traffic Congestion Detection in Smart Urban Mobility by Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Tiansheng Yang, Rajkumar Singh Rathore, Ahmed Alkhayyat, Deepak Gupta

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Rice Variety Identification Based on Transfer Learning Architecture Using DENS-INCEP by Wahyudi Agustiono, Kurniawan Eka Permana, Caroline Chan, Deshinta Arrova Dewi, Moch. Miftachur Rifqi Al Husain

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Enhanced Multigrained Scanning-Based Deep Stacking Network for Intrusion Detection in IoMT Networks by Pakarat Musikawan, Yanika Kongsorot, Phet Aimtongkham, Chakchai So-In

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Rhinovirus C replication is associated with the endoplasmic reticulum and triggers cytopathic effects in an in vitro model of human airway epithelium. by Talita B Gagliardi, Monty E Goldstein, Daniel Song, Kelsey M Gray, Jae W Jung, Maxinne A Ignacio, Kimberly M Stroka, Gregg A Duncan, Margaret A Scull

“…The clinical impact of rhinovirus C (RV-C) is well-documented; yet, the viral life cycle remains poorly defined. …”
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Os EBITDA divulgados pelas companhias listadas na B3: localizações, tipos e contagens de ocorrências by Shaiane Pisa Kistner, Orion Augusto Platt Neto

“…Metodologia: O estudo é documental, com dados provenientes de relatórios anuais das companhias de capital aberto brasileiras, empregando técnicas estatísticas de análise descritiva univariada. …”
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The relationship between athletes’ grit, mental toughness, and sport resilience by Bengie Mendizabal

“…However, such studies have not been documented for athletes in the Higher Education sector in the Philippines. …”
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Retracted: Significance and Possibility of VR Technology Embedded in the Teaching of Ideological and Political Theory Course in Colleges and Universities by Ningbin Zhang, Xiuqin Chen, Han Yin

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Multimodal Neuroimaging of Obesity: From Structural-Functional Mechanisms to Precision Interventions by Wenhua Liu, Na Li, Dongsheng Tang, Lang Qin, Zhiqiang Zhu

“…Purpose: Obesity’s metabolic consequences are well documented; however, its neurobiological underpinnings remain elusive. …”
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The Additional Pedestrian’s Behavior: Crossing the Road in Front of an Automated Vehicle in a Wizard of Oz Setting by Maximilian Hubner, Simon Bauer, Florian Bogner, Johanna Dechent, Christoph Hauenstein, Klaus Bengler

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Optical Thermography Infrastructure to Assess Thermal Distribution in Critically Ill Children by Monisha Shcherbakova, Rita Noumeir, Michael Levy, Armelle Bridier, Victor Lestrade, Philippe Jouvet

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Visual Attention Focusing on Fine-Grained Foreground and Eliminating Background Bias for Pest Image Identification by Xinyuan Xu, Heng Li, Qi Gao, Meixuan Zhou, Tianyue Meng, Liping Yin, Xinyu Chai

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The Origins of Newton’s Mechanics. Mass, Force, and Gravity by Jan RYCHLEWSKI

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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

“…We analyzed data recorded by Switzerland's National Air Pollution Monitoring Network (NABEL) to showcase the capabilities of machine learning (ML) for the prediction of ozone concentrations (daily averages) and to document a general approach that can be followed by anyone facing similar problems. …”
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