Abstract: An electrocardiogram (ECG) is a foundational tool for diagnosing cardiovascular diseases. However, the assessment of ECG data often depends on the subjective expertise of medical ...
Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
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Abstract: Building extraction from remote sensing images is a challenging task due to the complex structure variations of the buildings. Existing methods employ convolutional or self-attention blocks ...
Abstract: Electricity serves as a critically important energy source in modern society, with distribution networks constituting key public infrastructure for power transmission. Ensuring the ...
Abstract: With the application of massive wireless devices, the receiver often receives mixed signals with time-frequency overlapping. Automatic modulation classification (AMC) of such mixed signals ...
Artificial intelligence (AI) is making its way into security operations quickly, but many practitioners are still struggling to turn early experimentation into consistent operational value. This is ...
Abstract: Convolutional neural networks (CNNs) have drawn researchers’ attention to identifying cattle using muzzle images. However, CNNs often fail to capture long-range dependencies within the ...
Abstract: Soybean plants are highly susceptible to various diseases, impacting crop yield and quality. Accurate and early detection of these diseases is essential for effective management and ...
Under the shift, which Google said would eventually be rolled out to all users, old addresses would remain active. Messages and services would not be lost. By Adeel Hassan For more than 20 years, ...
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