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2020 – today
- 2025
[j21]Suvarna Joshi, Stephen Ojo
, Sangeeta Yadav, Preeti Gulia, Nasib Singh Gill, Hassan Alsberi, Ali Rizwan, Mohamed M. Hassan:
Object detection and classification from compressed video streams. Expert Syst. J. Knowl. Eng. 42(1) (2025)- 2024
- [j20]Ali M. Al Shahrani, Ali Rizwan, Abdullah Algarni, Khalid A. Alissa, Mohammad Shabaz, Bhupesh Kumar Singh, John Zaki:
A Deep Learning Network-on-Chip (NoC)-Based Switch-Router to Enhance Information Security in Resource-Constrained Devices. J. Circuits Syst. Comput. 33(4): 2450064:1-2450064:30 (2024) - [j19]Ali Rizwan, Ata Al Shraah, Wadi B. Alonazi, Manuel Sánchez-Chero, Khawar Siddique Khokhar, Carmen Rosas-Prado:
Consumer-Driven Decision-Making Service Model Selection Using Contextualization and Personalization for Consumer Electronics in E-Commerce. IEEE Trans. Consumer Electron. 70(1): 1664-1671 (2024) - [j18]Pinnapureddy Manasa, Arun Malik, Khaled N. Alqahtani, Madani Abdu Alomar, Mohammed Salem Basingab, Mukesh Soni, Ali Rizwan, Isha Batra:
Tweet Spam Detection Using Machine Learning and Swarm Optimization Techniques. IEEE Trans. Comput. Soc. Syst. 11(4): 4870-4877 (2024) - [j17]Ali M. Al Shahrani, Ali Rizwan, Manuel Sánchez-Chero, Lilia Lucy Campos Cornejo, Mohammad Shabaz:
Blockchain-enabled federated learning for prevention of power terminals threats in IoT environment using edge zero-trust model. J. Supercomput. 80(6): 7849-7875 (2024) - [j16]Abdullah Alghamdi, Ali M. Al Shahrani, Sultan Sughair AlYami, Ihtiram Raza Khan, P. S. G. Aruna Sri, Papiya Dutta, Ali Rizwan, Prashanth Venkatareddy:
Security and energy efficient cyber-physical systems using predictive modeling approaches in wireless sensor network. Wirel. Networks 30(6): 5851-5866 (2024) - [i3]Tabish Saeed, Aneeqa Ijaz, Ismail Sadiq, Haneya Naeem Qureshi, Ali Rizwan, Ali Imran:
An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19. CoRR abs/2401.02996 (2024) - 2023
- [j15]Ismail Keshta, Mukesh Soni, Mohammed Wasim Bhatt, Azeem Irshad, Ali Rizwan, Shakir Khan, Renato R. Maaliw, Arsalan Muhammad Soomar, Mohammad Shabaz:
Energy efficient indoor localisation for narrowband internet of things. CAAI Trans. Intell. Technol. 8(4): 1150-1163 (2023) - [j14]Poonam Panwar, Mohammad Shabaz, Shah Nazir, Ismail Keshta, Ali Rizwan, R. Sugumar:
Generic Edge Computing System for Optimization and Computation Offloading of Unmanned Aerial Vehicle. Comput. Electr. Eng. 109(Part A): 108779 (2023) - [j13]Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran:
Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. IEEE Commun. Surv. Tutorials 25(3): 1954-1990 (2023) - [j12]Ismail Keshta, Yassine Aoudni, Mukta Sandhu, Abha Singh, Pardayev Abdunabi Xalikovich, Ali Rizwan, Mukesh Soni, Sachin Lalar:
Blockchain aware proxy re-encryption algorithm-based data sharing scheme. Phys. Commun. 58: 102048 (2023) - [j11]Ali M. Al Shahrani, Madani Abdu Alomar, Khaled N. Alqahtani, Mohammed Basingab, Bhisham Sharma, Ali Rizwan:
Machine Learning-Enabled Smart Industrial Automation Systems Using Internet of Things. Sensors 23(1): 324 (2023) - [j10]Shweta Chauhan, Jayashree Premkumar Shet, Shehab Mohamed Beram, Vishal Jagota, Mohammed Dighriri, Mohd Wazih Ahmad, Md Shamim Hossain, Ali Rizwan:
Rule Based Fuzzy Computing Approach on Self-Supervised Sentiment Polarity Classification with Word Sense Disambiguation in Machine Translation for Hindi Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 153:1-153:21 (2023) - [j9]Ashima Kukkar, Dinesh Gupta, Shehab Mohamed Beram, Mukesh Soni, Nikhil Kumar Singh, Ashutosh Sharma, Rahul Neware, Mohammad Shabaz, Ali Rizwan:
Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem. IEEE Trans. Comput. Soc. Syst. 10(4): 1654-1665 (2023) - [j8]Mukesh Soni, Nikhil Kumar Singh, Pranjit Das, Mohammad Shabaz, Piyush Kumar Shukla, Partha Sarkar, Shweta Singh, Ismail Keshta, Ali Rizwan:
IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification. IEEE Trans. Comput. Soc. Syst. 10(4): 1722-1731 (2023) - [j7]Syed Muhammad Asad Zaidi, Haneya Naeem Qureshi, Marvin Manalastas, Adnan A. Abu-Dayya, Ali Rizwan, Ali Imran:
AI-Assisted Joint Search Approach for mmwave Cell Discovery Using Sparse MDT Data. IEEE Trans. Veh. Technol. 72(12): 15693-15705 (2023) - [j6]Syed Muhammad Asad Zaidi, Hasan Farooq, Ali Rizwan, Adnan A. Abu-Dayya, Ali Imran:
A Framework to Address Mobility Management Challenges in Emerging Networks. IEEE Wirel. Commun. 30(4): 90-97 (2023) - [i2]Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran:
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. CoRR abs/2304.12480 (2023) - [i1]Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, Tahir Mahmood, Mydah Sajid Hashmi, Iryna Posokhova, Ali Rizwan, Ali Imran:
Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey. CoRR abs/2309.14383 (2023) - 2022
- [j5]Muhammad Sajid Riaz, Haneya Naeem Qureshi, Usama Masood, Ali Rizwan, Adnan A. Abu-Dayya, Ali Imran:
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports. IEEE Access 10: 67140-67151 (2022) - [j4]Muhammad Umar Bin Farooq, Marvin Manalastas, Waseem Raza, Syed Muhammad Asad Zaidi, Ali Rizwan, Adnan A. Abu-Dayya, Ali Imran:
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks. IEEE Trans. Cogn. Commun. Netw. 8(2): 570-583 (2022) - [c4]Ali Rizwan, Adnan A. Abu-Dayya, Fethi Filali, Ali Imran:
Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks. ICAIIC 2022: 318-323 - [c3]Sajid Riaz, Haneya Naeem Qureshi, Usama Masood, Ali Rizwan, Adnan A. Abu-Dayya, Ali Imran:
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks. WCNC 2022: 746-751 - 2021
- [j3]Ali Rizwan, Mona Jaber, Fethi Filali, Ali Imran, Adnan A. Abu-Dayya:
A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis. IEEE Access 9: 157699-157714 (2021)
2010 – 2019
- 2019
- [c2]Ali Rizwan, João Pedro Battistella Nadas, Muhammad Ali Imran, Mona Jaber:
Performance Based Cells Classification in Cellular Network using CDR Data. ICC 2019: 1-7 - 2018
- [j2]Ali Rizwan, Ahmed Zoha, Rui Zhang, Wasim Ahmad, Kamran Arshad, Najah Abu Ali, Akram Alomainy, Muhammad Ali Imran, Qammer H. Abbasi:
A Review on the Role of Nano-Communication in Future Healthcare Systems: A Big Data Analytics Perspective. IEEE Access 6: 41903-41920 (2018) - [j1]Ahmed Zoha, Arsalan Saeed, Hasan Farooq, Ali Rizwan, Ali Imran, Muhammad Ali Imran:
Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization. IEEE Trans. Mob. Comput. 17(7): 1569-1582 (2018) - [c1]Ali Rizwan, Kamran Arshad, Francesco Fioranelli, Ali Imran, Muhammad Ali Imran:
Mobile Internet Activity Estimation and Analysis at High Granularity: SVR Model Approach. PIMRC 2018: 1-7
Coauthor Index
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last updated on 2025-01-20 22:53 CET by the dblp team
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