Performance analysis of linear and non-linear machine learning models for forecasting compressive strength of concrete

KC Mouli, CV Raghavendran… - Cogent …, 2024 - Taylor & Francis
The compressive strength of concrete is a critical parameter that affects the safety, durability,
and performance of structures. This is a key factor in the design, construction quality control …

COVID-19 in India: lockdown analysis and future predictions using regression models

K Prathyusha, K Helini… - … on Cloud Computing …, 2021 - ieeexplore.ieee.org
The new virus named COVID-19 identified in Wuhan, China causes a severe impact on the
respiratory system of the human. In considering its effect and spread in the community, the …

An Analysis on Classification Models to Predict Possibility for Type 2 Diabetes of a Patient

CV Raghavendran, G Naga Satish… - … : Proceedings of ICIDCA …, 2022 - Springer
Abstract Machine learning (ML) is a theoretical method in which computers learn how to
solve problems without being explicitly programmed. Classification algorithms in machine …

Network Intrusion Detection using ML Techniques for Sustainable Information System

KC Mouli, B Indupriya, D Ushasree… - E3S Web of …, 2023 - e3s-conferences.org
Network intrusion detection is a vital element of cybersecurity, focusing on identification of
malicious activities within computer networks. With the increasing complexity of cyber …

Forecasting Hourly Electrical Energy Output of a Power Plant Using Parametric Models

CV Raghavendran, G Naga Satish, V Krishna… - … Conference on Soft …, 2021 - Springer
Parametric models such as linear regression, polynomial regression, linear support vector
machine are used to model numerous systems that have number of features. The aim of this …