Quantum Computing Advances Universal Functional Derivation With Neural Network And Embedding Methods
The challenge of accurately simulating the behaviour of interacting particles lies at the heart of many problems in physics and...
Methods
Evaluation of various traditional machine learning techniques for predicting the acute effect of different hamstring muscle stretching methods among male soccer players
Hosseini, E., Alimoradi, M., Iranmanesh, M., Saki, F. & Konrad, A. The effects of 8 weeks of dynamic hamstring stretching...
Explainable machine learning methods for predicting electricity consumption in a long distance crude oil pipeline
Evaluation of predictive performanceTo evaluate the predictive performance of the proposed hybrid model, the GS-XGBoost hybrid model was compared with...
Benchmarking deep learning methods for biologically conserved single-cell integration
A unified benchmarking framework for single-cell integrationTo systematically evaluate various loss functions, we established a unified benchmarking framework wherein all...
Can Complementary Learning Methods Teach AI the Laws of War?
Davit Khachatryan is an international lawyer and lecturer focusing on the intersection of armed conflict, emerging technologies, and international law. ...
Machine learning methods on BioVid heat pain database for pain intensity estimation
In this study, we developed and evaluated a set of deep learning models and transformers—CNN, CvT, MobileViT, and VGG16—to estimate...
