Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...

ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

Abstract: Load forecasting, a crucial aspect of energy management, involves predicting the future electricity demand based on historical data. In the context of monthly time series analysis, this ...

Abstract: This research seeks to compare the accuracy of the novel Random Forest (RF) and Logistic Regression (LR) methods for forecasting software problems which avoids security threats based on a ...