Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems

M Premkumar, G Sinha, MD Ramasamy, S Sahu… - Scientific reports, 2024 - nature.com
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …

Optimization design of brushless DC motor based on improved JAYA algorithm

Y Cheng, X Lyu, S Mao - Scientific Reports, 2024 - nature.com
Brushless direct current motor is widely used in industrial production because of its simple
structure, wide speed range and low noise. To improve the operation efficiency of brushless …

Research on improved partial format MFAC greenhouse temperature control method based on low energy consumption optimization

B Wang, X Li, M Xu, L Wang - Computers and Electronics in Agriculture, 2024 - Elsevier
Temperature is critical to the growth of crops in agricultural greenhouses. Thus, designing a
greenhouse temperature controller that maximizes energy savings while maintaining control …

Using Deep Learning Models for COVID-19 Related Sentiment Analysis on Twitter Data

WH Bangyal, S Amina, R Shakir… - … on Human-Centered …, 2023 - ieeexplore.ieee.org
The significance of sentiment analysis has increased in modern times due to the extensive
use of social media platforms as a medium for individuals to express their opinions. Twitter is …

Polarity Classification of Twitter Data Using Machine Learning Approach

WH Bangyal, M Iqbal, A Bashir… - … Conference on Human …, 2023 - ieeexplore.ieee.org
Sentiment analysis has become very important nowadays because there are lots of social
media platforms peoples are using to express their opinion. Twitter is one of the most …

Optimizing energy efficiency: predicting heating load with a machine learning approach and meta-heuristic algorithms

Y Feng - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
This study responds to the urgent demand for accurate energy consumption forecasts and
the strategic assessment of retrofit methodologies, aiming to achieve energy conservation …

Automatic Detection of Diabetic Retinopathy from Fundus Images using Machine Learning Based Approaches

WH Bangyal, R Shakir, A Ashraf… - 2023 25th …, 2023 - ieeexplore.ieee.org
Diabetes-related retinopathy (DR) is the primary cause of blindness in the modern world. It
affects retinal blood vessels. It causes blindness over time with no initial symptoms. Early …

An Android Application for Unwanted Vehicle Detection and Counting

M Khalid, A Ashraf, WH Bangyal… - … Conference on Human …, 2023 - ieeexplore.ieee.org
The significance of vehicle identification and monitoring is increasing in the field of traffic
management. The Intelligent Transportation System (ITS) is a highly efficient way to address …