Publications

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Robust Sentimental Class Prediction Based on Cryptocurrency-Related Tweets Using Tetrad of Feature Selection Techniques in Combination with Filtered Classifier‏

Applied Sciences | 2022

DOI: https://doi.org/10.3390/app12126070

Public’s Mental Health Monitoring via Sentimental Analysis of Financial Text Using Machine Learning Techniques‏

International Journal of Environmental Research and Public Health | 2022

DOI: https://doi.org/10.3390/ijerph19159695

Melanoma Identification Through X-ray Modality Using Inception-v3 Based Convolutional Neural Network‏

Computers, Materials & Continua | 2022

DOI: https://doi.org/10.32604/cmc.2022.020118

Classification of Citrus Diseases Using Optimization Deep Learning Approach

Computational Intelligence and Neuroscience | 2022

DOI: https://doi.org/10.1155/2022/9153207

Predicting the prevalence of lung cancer using feature transformation techniques

Egyptian Informatics Journal | 2022

DOI: https://doi.org/10.1016/j.eij.2022.08.002

Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees

Sensors | 2021

DOI: https://doi.org/10.3390/s21113760

Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

Computers, Materials & Continua | 2021

DOI: https://doi.org/10.32604/cmc.2021.015080

Boosting Breast Cancer Detection Using Convolutional Neural Network

Journal of Health Care Engineering | 2021

DOI: https://doi.org/10.1155/2021/5528622

Multi-Stage Intelligent Smart Lockdown using SIR Model to Control COVID 19

Intelligent Automation & Soft Computing | 2021

DOI: https://doi.org/10.32604/iasc.2021.014685

Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion

Computers, Materials & Continua | 2021

DOI: https://doi.org/10.32604/cmc.2021.016814

Measuring and preventing COVID-19 using the SIR model and machine learning in smart health care

Journal of Health Care Engineering | 2020

DOI: https://doi.org/10.1155/2020/8857346