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 …

A Mathematically Inspired Meta-Heuristic Approach to Parameter (Weight) Optimization of Deep Convolution Neural Network

PS Naulia, J Watada, IA Aziz - IEEE Access, 2024 - ieeexplore.ieee.org
Deep Neural Learning has unequivocally demonstrated its exceptional capabilities,
surpassing the performance of various Machine Learning techniques in recent years …

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 …

STARRIS with hybrid wind and RF energy harvesting

R Alhamad - International Journal of Ad Hoc and Ubiquitous …, 2024 - inderscienceonline.com
The paper derives the throughput of simultaneously transmitting and reflecting
reconfigurable intelligent surfaces (STARRIS) with hybrid wind and radio frequency (RF) …

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 …