Neetcode 150 is a curated list of 150 LeetCode problems designed to cover all possible patterns & topics in data structures. Mainly practicing in C, C++, Rust, Python ...

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 ...

Knot theory sounds simple… until you realize it hides some of the most complex math ever discovered. In this video, we dive into the world of mathematical knots objects that follow strict rules and ...

Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...

Abstract: This article presents a flexible and efficient methodology to optimize stack-up for multilayer printed circuit boards (PCBs) with enormous search space and various design constraints. PCB ...