The paper studies the dependence of the localization of the maximum tsunami wave heights off the coast of the northwest Pacific Ocean (Aleutian Islands, Kamchatka Peninsula, Kuril Islands, Sakhalin Island, and the coa...
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The Internet of Things (IoT) is rethinking the model for building the smart cities, and this paper makes just such a step in that direction. It then examines various ways of cutting urban pollution. Under increasing p...
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In recent years, water quality Ph detection has gradually become a hot spot. However, the existing classical models in the field of water quality prediction, such as machine learning and deep learning, have insufficie...
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During the last decades, the complexity of building automation systems increased, starting with a growing number of sensors and actuators to several communication protocols that need to be interoperable with each othe...
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The problem of detecting and tracking moving objects on video is considered. The goal of the work is to develop optical flow algorithms for detecting moving objects in the presence of camera movement. Optical flow-bas...
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Millimeter-wave radar, with its high frequency and short wavelength, is increasingly becoming a critical sensor in autonomous driving systems, where precise external calibration with lidar is essential for efficient s...
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As the basic parts of workshop processing, the life of the tool will affect the processing efficiency and processing quality, and the life of the tool will be affected by a variety of uncertain factors in the processi...
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This paper introduces a genetic algorithm-based method for optimizing the hyperparameters of a Dilated U-Net architecture aimed at performing brain tumor segmentation from medical imaging. The 3D dilated U-Net employs...
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An automated, vision-guided assembly method is proposed for reconstructing LEGO arrangements using a 3 DOF Delta Parallel Robot with a two-finger gripper. Assembly sequence planning, an NP-complete problem, focuses on...
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Advancements in deep learning-based object detection offer high accuracy, but often require computationally expensive models. In driver assistance systems (DASs) for autonomous vehicles, real-time performance and low ...
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