Hafiz Tayyab Rauf
Orcid: 0000-0002-1515-3187
According to our database1,
Hafiz Tayyab Rauf
authored at least 46 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024
2023
Int. J. Imaging Syst. Technol., September, 2023
Expert Syst. Appl., July, 2023
CAAI Trans. Intell. Technol., June, 2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023
Future Internet, February, 2023
Comput., February, 2023
Inf., January, 2023
Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction.
Sensors, 2023
Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks.
Pers. Ubiquitous Comput., 2023
Intelligent Machine Learning with Metaheuristics Based Sentiment Analysis and Classification.
Comput. Syst. Sci. Eng., 2023
Discourse analysis based credibility checks to online reviews using deep learning based discourse markers.
Comput. Speech Lang., 2023
Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems.
Appl. Soft Comput., 2023
2022
PeerJ Comput. Sci., 2022
AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification.
Multim. Tools Appl., 2022
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition.
Knowl. Based Syst., 2022
Cognitive population initialization for swarm intelligence and evolutionary computing.
J. Ambient Intell. Humaniz. Comput., 2022
Int. J. Web Grid Serv., 2022
IET Commun., 2022
Future Internet, 2022
CoRR, 2022
Achieving data privacy for decision support systems in times of massive data sharing.
Clust. Comput., 2022
Planning a secure and reliable IoT-enabled FOG-assisted computing infrastructure for healthcare.
Clust. Comput., 2022
Towards an effective model for lung disease classification: Using Dense Capsule Nets for early classification of lung diseases.
Appl. Soft Comput., 2022
2021
Correction to: Deep CNN-based autonomous system for safety measures in logistics transportation.
Soft Comput., 2021
Soft Comput., 2021
Sensors, 2021
Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition.
Sensors, 2021
Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT.
Sensors, 2021
AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery.
Sensors, 2021
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data.
PeerJ Comput. Sci., 2021
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays.
PeerJ Comput. Sci., 2021
An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems.
Neural Comput. Appl., 2021
Lung nodules detection using semantic segmentation and classification with optimal features.
Neural Comput. Appl., 2021
Comparison of Different Bat Initialization Techniques for Global Optimization Problems.
Int. J. Appl. Metaheuristic Comput., 2021
IEEE Access, 2021
Trust-Based Petri Net Model for Fault Detection and Treatment in Automated Manufacturing Systems.
IEEE Access, 2021
2020
Bat algorithm with Weibull walk for solving global optimisation and classification problems.
Int. J. Bio Inspired Comput., 2020
Int. J. Bio Inspired Comput., 2020
Int. J. Appl. Metaheuristic Comput., 2020
Appl. Soft Comput., 2020
IEEE Access, 2020
Comparison of Probability Distributions for Evolving Artificial Neural Networks Using Bat Algorithm.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2020
2019
J. Medical Imaging Health Informatics, 2019
Visual features based automated identification of fish species using deep convolutional neural networks.
Comput. Electron. Agric., 2019