Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Abstract: Eye diseases represent a critical global health concern, affecting approximately 2.2 billion individuals with visual impairments or blindness and underscoring the urgent need for accessible ...
Water Quality Assessment Leveraging CNN-LSTM and Gradient Boosting for Prediction and Classification
Abstract: Accurate prediction of water quality can support in water resource management by the early warning of water pollution. Water quality assessment is crucial for ensuring the availability of ...
Abstract: Improving the resolution of medical images is an important task in ensuring trustworthy diagnosis and effective monitoring of diseases. Of the newest deep learning algorithms, Convolutional ...
Abstract: Intracranial hemorrhage (ICH) refers to bleeding within the brain, a global concern that underscores the im-portance of early detection. ICH is typically detected using computed tomography ...
Abstract: Skin cancer continues to be a prevalent and deadly malignancies cancer globally, necessitating early and accurate diagnosis. Lightweight CNN has emerged as effective tools for automated skin ...
(CNN) — A federal judge on Thursday rejected the nation’s top historic preservation group’s attempt to block to President Donald Trump’s White House ballroom project, but also suggested a possible ...
Abstract: Fast and accurate plant disease detection is essential for agricultural production and ecologically sustainable farming. The research paper defines GACN, a Geospatial data and AI-powered ...
Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
Abstract: Alcohol misuse remains a major global health concern, contributing to approximately 3.3 million deaths each year. Conventional methods for diagnosing Alcohol Use Disorder (AUD), such as self ...
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