Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...
Abstract: This research investigates the effectiveness of machine learning (ML), deep learning (DL), and statistical algorithms for forecasting rice retail prices in West Java, Indonesia. Employing ...
AZoSensors on MSN
AI maps heat inside steelmaking’s critical sintering process beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.
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