A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
MiMo-V2-Flash 'particularly excels in reasoning, coding and agentic scenarios', Xiaomi says Chinese smartphone and electric ...
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 ...
Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
Objective: Osteoporosis poses a major global public health challenge. The limitations of current diagnostic methods, primarily diagnostic delays in bone density testing, are compounded by the ...
Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
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