Smart technology for mosquito control: Recent developments, challenges, and future prospects

P Rajak, A Ganguly, S Adhikary, S Bhattacharya - Acta Tropica, 2024 - Elsevier
Smart Technology coupled with digital sensors and deep learning networks have emerging
scopes in various fields, including surveillance of mosquitoes carrying pathogens. Several …

[PDF][PDF] Machine learning techniques for sentiment analysis of code-mixed and switched indian social media text corpus: A comprehensive review

GI Ahmad, J Singla, A Anis, AA Reshi… - International Journal of …, 2022 - academia.edu
A comprehensive review of sentiment analysis for code-mixed and switched text corpus of
Indian social media using machine learning (ML) approaches, based on recent research …

Malware detection using image representation of malware data and transfer learning

F Rustam, I Ashraf, AD Jurcut, AK Bashir… - Journal of Parallel and …, 2023 - Elsevier
With the increased proliferation of internet-enabled mobile devices and large internet use,
cybercrime incidents have grown exponentially, often leading to huge financial losses. Most …

Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system

V Kittichai, M Kaewthamasorn, Y Samung… - Scientific Reports, 2023 - nature.com
Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes
of death in low-income countries. Control measure for the mosquito population plays an …

Railway track fault detection using selective MFCC features from acoustic data

F Rustam, A Ishaq, MSA Hashmi, HUR Siddiqui… - Sensors, 2023 - mdpi.com
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …

Unraveling Down syndrome: from genetic anomaly to artificial intelligence-enhanced diagnosis

AM Koul, F Ahmad, A Bhat, Q Aein, A Ahmad, AA Reshi… - Biomedicines, 2023 - mdpi.com
Down syndrome arises from chromosomal non-disjunction during gametogenesis, resulting
in an additional chromosome. This anomaly presents with intellectual impairment, growth …

Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: opportunities, challenges, and future trends

W Aljedaani, E Saad, F Rustam, I de la Torre Díez… - Mathematics, 2022 - mdpi.com
Pandemics and infectious diseases are overcome by vaccination, which serves as a
preventative measure. Nevertheless, vaccines also raise public concerns; public …

An improved binary dandelion algorithm using sine cosine operator and restart strategy for feature selection

J Dong, X Li, Y Zhao, J Ji, S Li, H Chen - Expert Systems with Applications, 2024 - Elsevier
Feature selection (FS) is an important data preprocessing technology for machine learning
and data mining. Metaheuristic algorithm (MH) has been widely used in feature selection …

White blood cell classification using texture and RGB features of oversampled microscopic images

F Rustam, N Aslam, I De La Torre Díez, YD Khan… - Healthcare, 2022 - mdpi.com
White blood cell (WBC) type classification is a task of significant importance for diagnosis
using microscopic images of WBC, which develop immunity to fight against infections and …