Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

Abstract: This article points out the fallacies in the theory and its implementation proposed by Kaur and Khanna. They have set out a cancelable biometric-based template protection method to address ...

Chess is a relatively simple game to learn but a very difficult one to master. Because the starting positions of the pieces ...

Abstract: In order to reduce the influence of differences in human characteristics on the blood pressure prediction model and further improve the accuracy of blood pressure prediction, this paper ...

Using pay by phone as a payment method for online casinos UK provides convenience and low transaction limits. This method allows players to make deposits quickly and easily, without the need for a ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

RADAM uses deep neural networks (CNNs) available in timm==0.6.7 for texture feature extraction, and then "classic" machine learning classification is done with scikit-learn classifiers. Several ...