Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...
Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
An essential ecological responsibility is to observe wildlife in their native habitats. The rapid expansion of the human population and the never-ending quest for economic prosperity are leading to ...
Abstract: In order to address the low radar-cross-section target detection challenge under high sea states and remove the dependence of existing methods on idealized prior knowledge, a two-stage ...
Abstract: Existing robotic grasp detection methods often struggle with inaccurate predictions in complex scenarios involving multiple objects and textured backgrounds. Most existing methods attempt to ...
Abstract: The increasing complexity of operational environments demands advanced electronic systems capable of performing multiple functions concurrently. This paper proposes a detection and jamming ...
Abstract: Wireless Fidelity (Wi-Fi) infrastructures continue to face increasingly dynamic and stealthy intrusion attempts, creating a strong need for efficient intrusion detection systems that operate ...
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