Tariq Mahmood

Orcid: 0000-0002-4299-7756

Affiliations:
  • CCIS Prince Sultan University, Artificial Intelligence and Data Analytics (AIDA) Lab, Riyadh, Saudi Arabia
  • University of Education, Faculty of Information Sciences, Vehari, Pakistan


According to our database1, Tariq Mahmood authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Correction: Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas.
Int. J. Comput. Intell. Syst., December, 2024

Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas.
Int. J. Comput. Intell. Syst., December, 2024

Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes.
J. Supercomput., July, 2024

Energy optimized data fusion approach for scalable wireless sensor network using deep learning-based scheme.
J. Netw. Comput. Appl., 2024

An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources.
Intell. Decis. Technol., 2024

Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography.
Expert Syst. Appl., 2024

Alzheimer's disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis.
Biomed. Signal Process. Control., 2024

Intrusion Detection System for Wireless Sensor Networks: A Machine Learning Based Approach.
IEEE Access, 2024

Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization.
IEEE Access, 2024

2023
A recognition model for handwritten Persian/Arabic numbers based on optimized deep convolutional neural network.
Multim. Tools Appl., April, 2023

An adaptive semi-supervised deep learning-based framework for the detection of Android malware.
J. Intell. Fuzzy Syst., 2023

SDN-enabled Deep Learning based Detection Mechanism (DDM) to tackle DDoS attacks in IoTs.
J. Intell. Fuzzy Syst., 2023

Future Prospects and Challenges of On-Demand Mobility Management Solutions.
IEEE Access, 2023

GFCO: A Genetic Fuzzy-Logic Channel Optimization Approach for LR-WPAN.
IEEE Access, 2023

DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks.
IEEE Access, 2023

Enhancing Prognosis Accuracy for Ischemic Cardiovascular Disease Using K Nearest Neighbor Algorithm: A Robust Approach.
IEEE Access, 2023

Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification.
IEEE Access, 2023

Robust Deep Neural Network-Based Framework for Predicting and Classifying Capsid Protein Based on Biomedical Data.
IEEE Access, 2023

Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model.
IEEE Access, 2023

An Optimized Role-Based Access Control Using Trust Mechanism in E-Health Cloud Environment.
IEEE Access, 2023

Cancer Unveiled: A Deep Dive Into Breast Tumor Detection Using Cutting-Edge Deep Learning Models.
IEEE Access, 2023

Enhancing Time Series Forecasting With an Optimized Binary Gravitational Search Algorithm for Echo State Networks.
IEEE Access, 2023

2022
An intelligent fault detection approach based on reinforcement learning system in wireless sensor network.
J. Supercomput., 2022

Chinese Medical Named Entity Recognition Based on Multi-word Segmentation and Multi-layer BILSTM.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network.
Vis. Comput., 2021

Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network.
Sensors, 2021

Breast Mass Detection and Classification Using Deep Convolutional Neural Networks for Radiologist Diagnosis Assistance.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Introducing robustness in DBR routing protocol.
Int. J. Commun. Networks Distributed Syst., 2020

A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities.
IEEE Access, 2020

2019
SEO: A unique approach to enhance the site rank by implementing Efficient Keywords Scheme.
PeerJ Prepr., 2019


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