Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
Abstract: Effective and real-time facial expression detection is becoming increasingly crucial in affective computing, intelligent user interfaces, and mental health screening to comprehend human ...
Abstract: Driven by the strategic goals of carbon peak and carbon neutrality, photovoltaic (PV) power generation has developed rapidly. However, PV power stations are prone to failures such as ...
Abstract: While a plethora of deep learning (DL) models exist, there is hardly any verifiable DL code that can be executed on public blockchains. In this paper, we propose approach named as PSTL ...
Abstract: Atrial fibrillation (AF) is an irregular heartbeat that originates in the upper chambers of the heart (atria). This paper presents a method for the detection of AF events from ...
Abstract: The need for real-time, user-friendly communication interfaces has driven gesture recognition system development. This need spurred system growth. This need has pushed Human-Computer ...
Abstract: The utilization of digital video alterations has been observable for an extended period thanks to skillful deployment of visual enhancements; however, the latest progressions in deep ...
Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
Abstract: In today's digital age, information technology has made great progress, which has promoted the explosive growth of global data volume, and the problem of information overload has become ...
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