Arun Prakasam

Extreme Learning Machine (ELM): Fast Learning Algorithm for Single-Layer Feedforward Networks

What is Extreme Learning Machine (ELM) Algorithm? A quick and effective machine learning approach for training Single Hidden Layer Feedforward Neural Networks (SLFNs) is called Extreme Learning Machine (ELM). ELM…

K-Nearest Neighbors (KNN) Algorithm: Classification, Working & Real-World Applications

What is k-Nearest Neighbors (k-NN)? A supervised learning approach for classification and regression problems is called k-Nearest Neighbors (k-NN). Since it is instance-based and non-parametric, it does not explicitly learn…

Naive Bayes Algorithm: Working Principle, Types & Applications in Machine Learning

What is Naïve Bayes Algorithm? Naïve Bayes is a probabilistic classification algorithm that relies on Bayes’ Theorem. It assumes that all features in the dataset are independent of one another.…

Support Vector Machine (SVM) Algorithm: Concept, Working, and Applications in ML

What is SVM? A supervised learning approach for classification and regression problems is called Support Vector Machine (SVM). Pattern recognition, text categorization, and bioinformatics all make extensive use of it,…

Introduction to Machine Learning: What Is It and Why Does It Matter?

Without explicit programming, robots may learn from data and perform better thanks to the quickly developing discipline of machine learning (ML). An introduction to machine learning is given in this…

Image Processing: Techniques and Applications

Image processing has become a crucial technology in many fields because it allows for the analysis, enhancement, and modification of visual input. This article discusses both simple and complex techniques…

Dynamic Resource Allocation in Edge Computing

Edge computing is revolutionizing data handling and processing in the current digital era by bringing computation closer to the data source. This paradigm shift is crucial for applications that demand…

Cloud Computing

Basics of Cloud Computing: a Beginner’s Guide

Introduction Cloud computing has become a vital component of our everyday lives in the current digital era, supporting anything from large-scale business systems to personal email services. Recent research indicates…

Sensor Networks

Energy Efficiency in Sensor Networks: Challenges and Solutions

Introduction In today’s networked world, sensing networks are becoming a fundamental technology that powers everything from industrial automation and healthcare to smart cities and environmental monitoring. In order to make…

Network Security

Common Network Security Threats

Introduction Network security is becoming a major concern for everyone in today’s digitally connected world, including individuals, corporations, and governments. Due to the internet’s explosive growth and our growing reliance…