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ORCIDHafiz Tayyab Rauf
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2020 – today
- 2024
[c2]Hafiz Tayyab Rauf, André Freitas, Norman W. Paton:
Deep Clustering for Data Cleaning and Integration. EDBT 2024: 636-649- [i3]Hafiz Tayyab Rauf, André Freitas, Norman W. Paton:
TableDC: Deep Clustering for Tabular Data. CoRR abs/2405.17723 (2024) - 2023
- [j42]Hafiz Tayyab Rauf, Jiechao Gao
, Ahmad S. Almadhor, Ali Haider, Yu-Dong Zhang, Fadi M. Al-Turjman:
Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems. Appl. Soft Comput. 132: 109909 (2023) - [j41]Nasir Saleem, Jiechao Gao, Rizwana Irfan, Ahmad S. Almadhor, Hafiz Tayyab Rauf, Yu-Dong Zhang, Seifedine Nimer Kadry:
DeepCNN: Spectro-temporal feature representation for speech emotion recognition. CAAI Trans. Intell. Technol. 8(2): 401-417 (2023) - [j40]Husam M. Alawadh, Amerah A. Alabrah, Talha Meraj, Hafiz Tayyab Rauf:
English Language Learning via YouTube: An NLP-Based Analysis of Users' Comments. Comput. 12(2): 24 (2023) - [j39]Husam M. Alawadh, Amerah A. Alabrah, Talha Meraj, Hafiz Tayyab Rauf:
Discourse analysis based credibility checks to online reviews using deep learning based discourse markers. Comput. Speech Lang. 78: 101450 (2023) - [j38]R. Bhaskaran, S. Saravanan, M. Kavitha, C. Jeyalakshmi, Seifedine Kadry, Hafiz Tayyab Rauf, Reem Alkhammash:
Intelligent Machine Learning with Metaheuristics Based Sentiment Analysis and Classification. Comput. Syst. Sci. Eng. 44(1): 235-247 (2023) - [j37]Ahmad S. Almadhor, Rizwana Irfan, Jiechao Gao, Nasir Saleem, Hafiz Tayyab Rauf, Seifedine Nimer Kadry:
E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition. Expert Syst. Appl. 222: 119797 (2023) - [j36]Husam M. Alawadh, Amerah A. Alabrah, Talha Meraj, Hafiz Tayyab Rauf:
Attention-Enriched Mini-BERT Fake News Analyzer Using the Arabic Language. Future Internet 15(2): 44 (2023) - [j35]Maria Naz, Munam Ali Shah, Hasan Ali Khattak, Abdul Wahid, Muhammad Nabeel Asghar, Hafiz Tayyab Rauf, Muhammad Attique Khan, Zoobia Ameer:
Multi-branch sustainable convolutional neural network for disease classification. Int. J. Imaging Syst. Technol. 33(5): 1621-1633 (2023) - [j34]Husam M. Alawadh, Amerah A. Alabrah, Talha Meraj, Hafiz Tayyab Rauf:
Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews. Inf. 14(1): 34 (2023) - [j33]Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Muhammad Attique Khan, Seifedine Kadry, Hanan Alolaiyan, Abdul Razaq, Rizwana Irfan:
Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks. Pers. Ubiquitous Comput. 27(3): 733-750 (2023) - [j32]Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Muhammad Shahzad Sarfraz, Yang Yu, Hafiz Tayyab Rauf:
Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction. Sensors 23(8): 3836 (2023) - [j31]Umar Shoaib, Laiba Fiaz, Chinmay Chakraborty, Hafiz Tayyab Rauf:
Context-aware Urdu Information Retrieval System. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 70:1-70:19 (2023) - [i2]Hafiz Tayyab Rauf, Norman W. Paton, André Freitas:
Deep Clustering for Data Cleaning and Integration. CoRR abs/2305.13494 (2023) - 2022
- [j30]Faizan Karim, Munam Ali Shah, Hasan Ali Khattak, Zoobia Ameer, Umar Shoaib, Hafiz Tayyab Rauf, Fadi Al-Turjman:
Towards an effective model for lung disease classification: Using Dense Capsule Nets for early classification of lung diseases. Appl. Soft Comput. 124: 109077 (2022) - [j29]Hafiz Munsub Ali, Jun Liu, Syed Ahmad Chan Bukhari, Hafiz Tayyab Rauf:
Planning a secure and reliable IoT-enabled FOG-assisted computing infrastructure for healthcare. Clust. Comput. 25(3): 2143-2161 (2022) - [j28]Rabeeha Fazal, Munam Ali Shah, Hasan Ali Khattak, Hafiz Tayyab Rauf, Fadi M. Al-Turjman:
Achieving data privacy for decision support systems in times of massive data sharing. Clust. Comput. 25(5): 3037-3049 (2022) - [j27]Maytham N. Meqdad, Seifedine Kadry, Hafiz Tayyab Rauf:
Improved Dragonfly Optimization Algorithm for Detecting IoT Outlier Sensors. Future Internet 14(10): 297 (2022) - [j26]Poongodi M, Mohit Malviya, Mounir Hamdi, Vijayakumar V, Mazin Abed Mohammed, Hafiz Tayyab Rauf, Kawther A. Al-Dhlan:
5G based Blockchain network for authentic and ethical keyword search engine. IET Commun. 16(5): 442-448 (2022) - [j25]Kamran Sattar Awaisi, Assad Abbas, Hasan Ali Khattak, Abbas Khalid, Hafiz Tayyab Rauf, Seifedine Kadry:
A dynamic load balancing mechanism for fog computing environment. Int. J. Web Grid Serv. 18(3): 337-360 (2022) - [j24]Muhammad Arif, Jianer Chen, Guojun Wang, Hafiz Tayyab Rauf:
Cognitive population initialization for swarm intelligence and evolutionary computing. J. Ambient Intell. Humaniz. Comput. 13(12): 5847-5860 (2022) - [j23]Nasir Saleem, Jiechao Gao, Muhammad Irfan Khattak, Hafiz Tayyab Rauf, Seifedine Kadry, Muhammad Shafi:
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition. Knowl. Based Syst. 238: 107914 (2022) - [j22]Saleh Albahli, Talha Meraj, Chinmay Chakraborty, Hafiz Tayyab Rauf:
AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification. Multim. Tools Appl. 81(26): 37569-37589 (2022) - [j21]Shida Lu, Kai Huang, Talha Meraj, Hafiz Tayyab Rauf:
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks. PeerJ Comput. Sci. 8: e879 (2022) - [i1]Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Zaher Mundher Yaseen:
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem. CoRR abs/2209.01073 (2022) - 2021
- [j20]M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Nimer Kadry, Orawit Thinnukool:
The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic. IEEE Access 9: 97906-97928 (2021) - [j19]Ebrahim Ali Alzalab, Ahmed M. El-Sherbeeny, Mohammed A. El-Meligy, Hafiz Tayyab Rauf:
Trust-Based Petri Net Model for Fault Detection and Treatment in Automated Manufacturing Systems. IEEE Access 9: 157997-158009 (2021) - [j18]Waqas Haider Bangyal, Jamil Ahmad, Hafiz Tayyab Rauf:
Comparison of Different Bat Initialization Techniques for Global Optimization Problems. Int. J. Appl. Metaheuristic Comput. 12(1): 157-184 (2021) - [j17]Talha Meraj, Hafiz Tayyab Rauf, Saliha Zahoor, Arslan Hassan, Muhammad Ikram Ullah Lali, Liaqat Ali, Syed Ahmad Chan Bukhari, Umar Shoaib:
Lung nodules detection using semantic segmentation and classification with optimal features. Neural Comput. Appl. 33(17): 10737-10750 (2021) - [j16]Hafiz Tayyab Rauf, Waqas Haider Bangyal, Muhammad Ikram Ullah Lali:
An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems. Neural Comput. Appl. 33(17): 10841-10867 (2021) - [j15]Saleh Albahli, Hafiz Tayyab Rauf, Abdulelah Abdallah Algosaibi, Valentina Emilia Balas:
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays. PeerJ Comput. Sci. 7: e495 (2021) - [j14]Talha Meraj, Wael Alosaimi, Bader Alouffi, Hafiz Tayyab Rauf, Swarn Avinash Kumar, Robertas Damasevicius, Hashem Alyami:
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data. PeerJ Comput. Sci. 7: e805 (2021) - [j13]Ahmad S. Almadhor, Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Robertas Damasevicius, Bader Alouffi, Abdullah Alharbi:
AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery. Sensors 21(11): 3830 (2021) - [j12]Sheeba Lal, Saeed Ur Rehman, Jamal Hussain Shah, Talha Meraj, Hafiz Tayyab Rauf, Robertas Damasevicius, Mazin Abed Mohammed, Karrar Hameed Abdulkareem:
Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition. Sensors 21(11): 3922 (2021) - [j11]Rabbia Mahum, Saeed Ur Rehman, Talha Meraj, Hafiz Tayyab Rauf, Aun Irtaza, Ahmed M. El-Sherbeeny, Mohammed A. El-Meligy:
A Novel Hybrid Approach Based on Deep CNN Features to Detect Knee Osteoarthritis. Sensors 21(18): 6189 (2021) - [j10]K. Arumugam, Srimathi J, Sudhanshu Maurya, Senoj Joseph, Anju Asokan, Poongodi M, Abdullah A. Algethami, Mounir Hamdi, Hafiz Tayyab Rauf:
Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. Sensors 21(23): 7793 (2021) - [j9]Abdelkarim Rouari, Abdelouahab Moussaoui, Youssef Chahir, Hafiz Tayyab Rauf, Seifedine Nimer Kadry:
Deep CNN-based autonomous system for safety measures in logistics transportation. Soft Comput. 25(18): 12357-12370 (2021) - [j8]Abdelkarim Rouari, Abdelouahab Moussaoui, Youssef Chahir, Hafiz Tayyab Rauf, Seifedine Nimer Kadry:
Correction to: Deep CNN-based autonomous system for safety measures in logistics transportation. Soft Comput. 25(18): 12371 (2021) - 2020
- [j7]Hafiz Tayyab Rauf, Umar Shoaib, Muhammad Ikram Ullah Lali, Majed Alhaisoni, Muhammad Naeem Irfan, Muhammad Attique Khan:
Particle Swarm Optimization With Probability Sequence for Global Optimization. IEEE Access 8: 110535-110549 (2020) - [j6]Hafiz Tayyab Rauf, Sumbal Malik, Umar Shoaib, Muhammad Naeem Irfan, Muhammad Ikram Ullah Lali:
Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search. Appl. Soft Comput. 90: 106159 (2020) - [j5]Waqas Haider Bangyal, Jamil Ahmad, Hafiz Tayyab Rauf:
An Overview of Mutation Strategies in Particle Swarm Optimization. Int. J. Appl. Metaheuristic Comput. 11(4): 16-37 (2020) - [j4]Waqas Haider Bangyal, Jamil Ahmed, Hafiz Tayyab Rauf:
A modified bat algorithm with torus walk for solving global optimisation problems. Int. J. Bio Inspired Comput. 15(1): 1-13 (2020) - [j3]Hafiz Tayyab Rauf, Muhammad Hadi, Abd Ur Rehman:
Bat algorithm with Weibull walk for solving global optimisation and classification problems. Int. J. Bio Inspired Comput. 15(3): 159-170 (2020) - [c1]Adeel Shahzad, Hafiz Tayyab Rauf, Tayyaba Asghar, Umar Hayat:
Comparison of Probability Distributions for Evolving Artificial Neural Networks Using Bat Algorithm. AHFE (13) 2020: 97-104
2010 – 2019
- 2019
- [j2]Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Saliha Zahoor, Syed Zakir Hussain Shah, Abd Ur Rehman, Syed Ahmad Chan Bukhari:
Visual features based automated identification of fish species using deep convolutional neural networks. Comput. Electron. Agric. 167 (2019) - [j1]Waqas Haider Bangyal, Jamil Ahmad, Hafiz Tayyab Rauf:
Optimization of Neural Network Using Improved Bat Algorithm for Data Classification. J. Medical Imaging Health Informatics 9(4): 670-681 (2019)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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