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Titlebook: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0; Proceedings of the 5 D. Jude Hemanth,Utku

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樓主: 召喚
51#
發(fā)表于 2025-3-30 11:53:59 | 只看該作者
Computational Modeling of Trailing Operations by Autonomous Boat,ion tasks, and serving as transportation means. In this study, a 3-DOF dynamics model, involving surge, sway and yaw, is applied for modeling a fast displacement-type hull. This model, utilizing hydrodynamic coefficients for the selected hull configuration, is employed for simulating autonomous oper
52#
發(fā)表于 2025-3-30 15:02:03 | 只看該作者
Deep Learning-Based Hyperparameter Tuning and Performance Comparison,e evaluated the effectiveness of deep learning algorithms used in object detection for medical image analysis. Additionally, we conducted Meningioma detection by examining the importance of hyperparameter tuning and its impact on performance using the YOLO deep learning model. While the majority of
53#
發(fā)表于 2025-3-30 19:16:15 | 只看該作者
Detection of Faults in High Voltage Power Transmission Lines Using Unmanned Aerial Vehicle with Artintelligence is frequently used in many fields such as agriculture, security systems and health. One of the important areas of use of artificial intelligence is the field of engineering. Especially deformations in high voltage lines, which are one of the important components of electrical engineerin
54#
發(fā)表于 2025-3-31 00:16:58 | 只看該作者
55#
發(fā)表于 2025-3-31 01:59:44 | 只看該作者
A Hyper-Heuristic Approach to Solving Vehicle Routing Problem in Military Logistics Distribution,ation Age” or the “Digital Age”, military software has developed in the following areas; developed new guns, land warfare systems, communication systems, advanced optics and lasers, image processing systems, artificial intelligence supported autonomous or non-autonomous robot technologies, etc. Deve
56#
發(fā)表于 2025-3-31 09:04:29 | 只看該作者
57#
發(fā)表于 2025-3-31 09:42:01 | 只看該作者
58#
發(fā)表于 2025-3-31 13:54:29 | 只看該作者
59#
發(fā)表于 2025-3-31 20:35:54 | 只看該作者
Analyzing Bias in Machine Learning Models: Insights from the AlexNet Architecture on Balanced and It surprising. Machine learning and artificial intelligence applications, especially deep learning models are developing rapidly and starting to play an effective role in different fields. This wide usage of these methods in various domains gives rise to some concerns and problems along with positive
60#
發(fā)表于 2025-4-1 00:19:03 | 只看該作者
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