Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...
In a study published in Nature Biomedical Engineering, a team led by Prof. WANG Shanshan from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. ZHANG ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Background: Natriuretic peptides such as BNP and NT-proBNP remain cornerstone biomarkers for diagnosing and management of heart failure (HF). However, their measurement is done mainly when HF is ...
Abstract: Signal classification plays a pivotal role in modern digital communications by ensuring efficient and secure data transmission across critical tasks, such as automatic modulation ...
Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
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