Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
Wallbreaker is a useful tool to live analyzing Java heap, powered by frida. Provide some commands to search object or class from the memory, and beautifully visualize the real structure of the target.
PowSyBl (Power System Blocks) is an open source framework written in Java that makes it easy to write complex software for power systems’ simulations and analysis. Its modular approach allows ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.