A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: In this work, we extend the simplex algorithm of linear programming for finding a local minimum of a concave quadratic function subject to box constraints. In order to test the performance ...
Abstract: Weak targets on the sea surface are considered as significant detection problem because the weak echo signals are usually overwhelmed by strong sea clutter. Conventional adaptive coherent ...
State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
Background Cardiovascular diseases, overweight, type 2 diabetes and chronic kidney disease increase the risk of cardiovascular events. Glucagon-like peptide-1 analogues are recommended by the European ...