Results 1 to 10 of about 3,003,604 (313)
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui +7 more
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Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. Here we present FengWu, an Artificial-Intelligence-driven global medium-range forecasting system employing multi-modal and multi-
Kang Chen +16 more
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Community evolution prediction based on feature change patterns in social networks
Predicting community evolution in dynamic social networks is crucial for relevant authorities to understand trends and implement safety measures in advance.
Jingyi Ding +7 more
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Computational linguistics in psychology: a key to understanding language and human behavior
The relevance is determined by the exponential growth of textual data in the digital environment, requiring automated analysis methods to reveal hidden patterns.
K.S. Ivashko +3 more
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PsychiatryBench: a multi-task benchmark for LLMs in psychiatry
Large language models (LLMs) offer significant potential in enhancing psychiatric practice, from improving diagnostic accuracy to streamlining clinical documentation and therapeutic support.
Aya E. Fouda +3 more
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Hybrid Approach Combining CLIP and Diffusion Models with Low-Rank Adaptation for Domain-Specific Image Generation [PDF]
Text-to-image generation has emerged as a transformative technology in artificial intelligence, enabling the creation of visually coherent and contextually relevant images from textual descriptions.
Wafaa Mohamed +5 more
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Class imbalance is a prevalent issue in practical applications, which poses significant challenges for classifiers. The large margin distribution machine (LDM) introduces the margin distribution of samples to replace the traditional minimum margin ...
Li Liu +4 more
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Defect Evaluation of Hoist Steel Wire Rope With Quartile Range and Entropy Weight Method
Aiming at the problems of data fluctuations and false alarms caused by defects such as wire breakage, deformation, wear, and corrosion, as well as external factors such as shaking during the monitoring process of hoist steel wire ropes, this paper ...
Xianchao Wang +4 more
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Rule-guided Skip-GCN in neural latent information diffusion network for social recommendation
Graph neural networks (GNNs) have significantly advanced social recommendation; however, existing methods often homogenize diverse social influences and neglect latent item-item correlations, limiting their ability to model complex user preferences.
Rui Cao +4 more
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Intelligent robot systems: a survey from the perspective of visual intelligence
Intelligent robots have seen significant advancements over the past few decades, with notable developments in recent years. The integration of artificial intelligence into robotics is transforming the manufacturing, agricultural, and healthcare ...
Hengcan Shi +8 more
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