PAtbP-EnC: Identifying anti-tubercular peptides using multi-feature representation and genetic algorithm-based deep ensemble model

S Akbar, A Raza, T Al Shloul, A Ahmad, A Saeed… - IEEE …, 2023 - ieeexplore.ieee.org
Mycobacterium tuberculosis, a highly perilous pathogen in humans, serves as the causative
agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing …

Handwritten Urdu characters and digits recognition using transfer learning and augmentation with AlexNet

A Rasheed, N Ali, B Zafar, A Shabbir, M Sajid… - IEEE …, 2022 - ieeexplore.ieee.org
Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …

CNN‐Based Automatic Helmet Violation Detection of Motorcyclists for an Intelligent Transportation System

T Waris, M Asif, MB Ahmad, T Mahmood… - Mathematical …, 2022 - Wiley Online Library
An intelligent transportation system (ITS) is an advanced application that supports multiple
transport and traffic management modes. ITS services include calling for emergency rescue …

Sentiment Analysis of Public Acceptance of Covid-19 Vaccines Types in Indonesia using Naïve Bayes, Support Vector Machine, and Long Short-Term Memory (LSTM)

DA Kristiyanti, S Hardani - Jurnal RESTI (Rekayasa Sistem dan …, 2023 - jurnal.iaii.or.id
The Covid-19 vaccination is a government program during the pandemic to create herd
immunity so that people become more productive in their activities. In Indonesia, the Covid …

Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis

M Nokkaew, K Nongpong, T Yeophantong… - Social Network Analysis …, 2023 - Springer
Sentiment analysis is becoming a very popular research technique. It can effectively identify
hidden emotional trends in social networks to understand people's opinions and feelings …

ML-NLPEmot: Machine Learning-Natural Language Processing (NLP) Event-based Emotion Detection Proactive Framework Addressing Mental Health

L Ismail, N Shahin, H Materwala, A Hennebelle… - IEEE …, 2023 - ieeexplore.ieee.org
Global rapidly evolving events, eg, COVID-19, are usually followed by countermeasures and
policies. As a reaction, the public tends to express their emotions on social media platforms …

Using machine learning to explore the crucial factors of assistive technology assessments: Cases of wheelchairs

KT Fang, CH ** - Healthcare, 2022 - mdpi.com
The global population is gradually entering an aging society; chronic diseases and
functional disabilities have increased, thereby increasing the number of people with …

Optimized hybrid model for covid-19 vaccine sentiment analysis for hindi text

V Jain, KL Kashyap - SN Computer Science, 2023 - Springer
A new virus disease called COVID-19, which first appeared in 2019, caused a global
economic and health disaster. Millions of people infected with COVID-19 worldwide since …

Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil

TO Barreto, NVR Veras, PH Cardoso… - Frontiers in Artificial …, 2023 - frontiersin.org
The COVID-19 pandemic is already considered one of the biggest global health crises. In
Rio Grande do Norte, a Brazilian state, the RegulaRN platform was the health information …

Hybrid optimal feature selection-based iterative deep convolution learning for COVID-19 classification system

PSK Patra, B Tripathy - Computers in Biology and Medicine, 2024 - Elsevier
The COVID-19 pandemic has necessitated the development of innovative and efficient
methods for early detection and diagnosis. Integrating Internet of Things (IoT) devices and …