Tariq Mahmood
Orcid: 0000-0002-4299-7756Affiliations:
- 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 49 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
Sentiment-informed causal reinforcement learning for solar energy policy optimization.
J. Big Data, December, 2026
Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques.
Int. J. Data Sci. Anal., December, 2026
Multimodal Deep Learning Radiomics Nomogram for Preoperative Breast Cancer Prediction Using Ultrasound Imaging and Clinical Data.
Int. J. Comput. Intell. Syst., December, 2026
A Multi-Platform Approach to Optimizing Depression Detection in Social Media Through Feature Engineering and Contextual Analysis.
Int. J. Comput. Intell. Syst., December, 2026
A lightweight deep learning framework for real time brain tumor detection and characterization using MR images.
Discov. Artif. Intell., December, 2026
2025
Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks.
J. Big Data, December, 2025
Mamba-optimized transformer framework with dynamic deformation fields for real-time medical image registration.
J. Big Data, December, 2025
Correction: MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation.
Int. J. Comput. Intell. Syst., December, 2025
MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation.
Int. J. Comput. Intell. Syst., December, 2025
Int. J. Data Sci. Anal., November, 2025
Enhancing network security: an intrusion detection system using residual network-based convolutional neural network.
Clust. Comput., August, 2025
Leveraging deep learning and ensemble learning for air quality forecasting in smart urban environment.
PeerJ Comput. Sci., 2025
Fusion-aware quantum variational autoencoder for brain-heart signal modeling in mental health applications.
J. King Saud Univ. Comput. Inf. Sci., 2025
Enhancing Industrial Internet of Things performance through deep transfer learning-based neural network digital twin modeling in data-scarce environments.
J. Ind. Inf. Integr., 2025
ConvTNet fusion: A robust transformer-CNN framework for multi-class classification, multimodal feature fusion, and tissue heterogeneity handling.
Comput. Medical Imaging Graph., 2025
MVLA-Net: A Multi-View Lesion Attention Network for Advanced Diagnosis and Grading of Diabetic Retinopathy.
Comput. Mater. Continua, 2025
Proactive and data-centric Internet of Things-based fog computing architecture for effective policing in smart cities.
Comput. Electr. Eng., 2025
Robust kidney carcinoma prognosis and characterization using Swin-ViT and DeepLabV3+ with multi-model transfer learning.
Appl. Soft Comput., 2025
Deep Learning and Shape-Driven Combined Approach for Breast Cancer Tumor Segmentation.
Proceedings of the 6th International Conference on Advancements in Computational Sciences, 2025
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
Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment.
Complex Intell. Syst., 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
IEEE Access, 2023
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
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
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