In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...
This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...
Jesta I.S. today announced the launch of FarsightIQ, a new AI-focused division delivering what the company calls one of retail's most advanced AI-driven commerce platforms-where machine learning and ...
Abstract: The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
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 ...
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