Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

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Enhancing Pneumonia Diagnosis Through AI Interpretability: Comparative Analysis of Pixel-Level Interpretability and Grad-CAM on X-ray Imaging With VGG19 by Mohammad Ennab, Hamid Mcheick

“…VGG19 is applied to classify a query image, and both PLI and Grad-CAM are used to interpret the classification decisions. The study evaluates these interpretability methods across multiple dimensions: computational efficiency, diagnostic performance, explanation continuity, calibration accuracy, robustness to training parameters, and feedback from medical experts. …”
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Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking by Karim Dabbabi, Tijeni Delleji

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Intrusion Detection System for Internet of Medical Things Using GRU with Attention Mechanism based Hybrid Deep Learning Technique by Naveen Saran, Nishtha Kesswani

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Cost Estimation of Construction Projects under Risk and Cost-Influencing Factors by Mohammad Sheikhalishahi, Mahshid Yadegari, Emran Eshgheelahi

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Hybrid POF-VLC Systems: Recent Advances, Challenges, Opportunities, and Future Directions by Rola Abdallah, Mohamed Atef, Nasir Saeed

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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

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Estimation and Optimization of the Hydrostatic Height of Waterway Embankment Using Taguchi-Based Honey Badger Algorithm by Swarnima Subhadarsini, Debabrata Giri, Sudhanshu Das

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Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models by Saeed Khorram, Nima Jehbez

“…The water yield in scarce-data areas was evaluated under the Preliminary and Modified scenarios, and the comparison of the empirical findings obtained in this study with those of the alternative models revealed that the proposed hybrid model had better performance and more accurate prediction capabilities. …”
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Forecasting Road Accidents Using Deep Learning Approach: Policies to Improve Road Safety by Vijay Angadi, Shivaraj Halyal

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Fractal Fuzzy-Based Multi-criteria Assessment of Sustainability in Rare Earth Use for Hydrogen Storage by Gang Kou, Serhat Yüksel, Serkan Eti, Hasan Dinçer, Merve Acar

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A novel conceptual design approach for autonomous underwater helicopter based on multidisciplinary collaborative optimization by Yuan-Jie Chen, Haocai Huang

“…This method aims to replace costly computational fluid dynamics (CFD) and structural mechanics calculations, thus reducing AUH optimization costs. …”
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A Novel Hybrid Method Using Grey Wolf Algorithm and Genetic Algorithm for IoT Botnet DDoS Attacks Detection by Mahdieh Maazalahi, Soodeh Hosseini

“…Abstract The Internet of Things (IoT) is a vast network of interconnected physical objects that has improved the conditions for a computer-based physical world and improved efficiency. …”
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User Experience Techniques Adopted by Brazilian Game Development Studios: An Exploratory Study by Felippe Fernandes da Silva, Matheus Henrique C. Leme, André F. Zanella, Guilherme Corredato Guerino, Renato Balancieri, Gislaine Camila Lapasini Leal

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“Always check important information!” - The role of disclaimers in the perception of AI-generated content by Angelica Lermann Henestrosa, Joachim Kimmerle

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Upscaling solid oxide electrolysis cell CFD simulations for hydrogen production by Finn Stoltze, Omkar Champhekar, Alfredo Iranzo

“…This study investigates the effects of grid refinement in Computational Fluid Dynamics (CFD) SOEC simulations and the possibilities of accelerating convergence times. …”
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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

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PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation by Shengyuan Liu, Ruofan Zhang, Mengjie Fang, Hailin Li, Tianwang Xun, Zipei Wang, Wenting Shang, Jie Tian, Di Dong

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NDAWL-PINN: a new non-dimensionalization and multi-task learning approach for efficient training of physics-informed neural networks to solve the shallow water equations by Xin Qi, Dawei Zhang, Fan Wang, Wuxia Bi, Mingda Lu

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An improved Multi-Objective Whale Optimization Algorithm for hydrodynamic and acoustic performance optimization of Myring-shaped underwater vehicle by Qigan Wang, Yu Dong, Han Wu, Peizhan Cao, Zhijun Zhang

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