Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Want to unlock real-time market insights without manual searching? Learn how to scrape Google Trends and automate your ...

Random numbers are very important to us in this computer age, being used for all sorts of security and cryptographic tasks. [Theory to Thing] recently built a device to generate random numbers ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Abstract: We consider an IoT-satellite terrestrial relay network providing access for a massive quantity of IoT devices. In order to overcome the difficulties associated with random access over ...

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, "Probability is the most important concept in modern science, especially as nobody has the ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.

Simplify complex concepts with electric field problems made easy using Python and vectors! ⚡ In this video, we demonstrate step-by-step how to calculate electric fields, visualize vector directions, ...

Learn how to visualize the electric field of a charged rod using Python! 🐍⚡ This step-by-step tutorial shows you how to simulate and plot electric field vectors, helping you understand the concepts ...

Abstract: Recently, Moore-Penrose inverse (MPI)-based parameter fine-tuning of fully connected (FC) layers in pretrained deep convolutional neural networks (DCNNs) has emerged within the inductive ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...