Abstract: Floating-point (FP) multipliers are critical components in high-performance computing systems, particularly in signal processing, graphics, and machine learning applications. However, ...
Abstract: Autonomous vehicles require real-time image processing to improve their capabilities by allowing them to understand and respond appropriately to their environment. This paper examines the ...
Abstract: Precision agriculture is a novel approach to increase the productivity of crops that employs recent technologies such as Artificial Intelligence, WSN, cloud computing, Machine Learning, and ...
Abstract: Modern depth sensors such as LiDAR operate by sweeping laser-beams across the scene, resulting in a point cloud with notable 1 D curve-like structures. In this work, we introduce a new point ...
Abstract: Pallet detection and localization is a fundamental task in the process of logistics automation. Accurate estimation of the pallet's pose contributes to enhanced efficiency and safety. This ...
Abstract: Driving heavy vehicles at high speeds through construction sections can pose significant dangers. Implementing a ground speed radar system during construction progress is challenging due to ...
Abstract: Potatoes are among the major vegetables in agricultural regions, and it is farmed and utilized all over the world. Potatoes are a high-protein food with several health benefits, but there ...
Abstract: Skin diseases affect millions worldwide, and more than 3,000 different conditions present significant challenges to diagnose and suggest treatments. This study introduces a novel ...
Abstract: Sports action recognition and evaluation depending on video image key point detection contains analyzing athletes’ movements by determining critical body joint and landmark in video frames.
Abstract: Place recognition technology can eliminate cumulative errors and thus plays a vital role in autonomous driving. In this paper, the composite feature of point cloud and image data is obtained ...
Abstract: AI-powered image analysis is a transformative technology with immense potential to enhance diagnostics and patient care. Accurate medical image assessment plays a crucial role in disease ...
Abstract: Accurate and controllable image editing is a challenging task that has attracted significant attention recently. Notably, DRAGGAN developed by Pan et al. (2023) [33] is an interactive ...
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