Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
For years, robotic laser-arc hybrid welding in narrow gaps has been a bottleneck for high-efficiency fabrication, limited by the difficulty of maintaining stability in tight tolerances. However, ...
In March 2026, Meta quietly dismantled the familiar reporting framework that startup marketers have relied on for years, swapping 'Impressions' for 'Views' and 'Reach' for 'Viewers' while tightening ...
MFCN-DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction
In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...
Abstract: This research develops a machine vision algorithm integrating deep learning feature extraction (ResNet-based), edge computing optimization (TensorRT), and fast reconstruction (ICP) to ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
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