Ali Arshad

According to our database, Ali Arshad authored at least 16 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications.

Faria Sajjad, Muhammad Rashid, Afia Zafar, Kainat Zafar, Benish Fida, Ali Arshad, Saman Riaz, Ashit Kumar Dutta, Joel J. P. C. Rodrigues

Discov. Internet Things, December, 2023

2022

Movie Recommender System Based On Heterogeneous Graph Neural Networks.

Khalil Ur Rahman, Huifang Ma, Ali Arshad, Azad Khan Baheer

Proceedings of the 8th International Conference on Systems and Informatics, 2022

2021

Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System.

Muhammad Nadeem, Ali Arshad, Saman Riaz, Shahab S. Band, Amir Mosavi

IEEE Access, 2021

An Approach to Objective Optimization of High-dimensional Data.

Chenhan Zhai, Wanghu Chen, Meilin Zhou, Pengbo Lv, Yan Sun, Ali Arshad

Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering Algorithm.

Ali Arshad, Muhammad Hassam, Saman Riaz, Shahab Shamshirband

Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks.

Wanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Autoencoder-based outlier detection for sparse, high dimensional data.

Wanghu Chen, Huijun Li, Jing Li, Ali Arshad

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Semi-Supervised CNN With Fuzzy Rough C-Mean for Image Classification.

Saman Riaz, Ali Arshad, Licheng Jiao

IEEE Access, 2019

Semi-Supervised Deep Fuzzy C-Mean Clustering for Imbalanced Multi-Class Classification.

Ali Arshad, Saman Riaz, Licheng Jiao

IEEE Access, 2019

2018

Rough Noise-Filtered Easy Ensemble for Software Fault Prediction.

Saman Riaz, Ali Arshad, Licheng Jiao

IEEE Access, 2018

The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction.

Ali Arshad, Saman Riaz, Licheng Jiao, Aparna Murthy

IEEE Access, 2018

Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction.

Ali Arshad, Saman Riaz, Licheng Jiao, Aparna Murthy

IEEE Access, 2018

Rough-KNN Noise-Filtered Convolutional Neural Network for Image Classification.

Saman Riaz, Ali Arshad, Licheng Jiao

Proceedings of the Information Technology and Intelligent Transportation Systems - Proceedings of the 3rd International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2018), 2018

2011

Security at software architecture level: A systematic mapping study.

Ali Arshad, Muhammad Usman

Proceedings of the 15th International Conference on Evaluation & Assessment in Software Engineering, 2011

2010

An FPGA based semi-parallel architecture for higher order Moving Target Indication (MTI) processing.

Zulfiqar Ali, Ali Arshad, Umair Razzaq

Proceedings of the 21st IEEE International Symposium on Rapid System Prototyping, 2010

Design and implementation of an OS-CFAR processor based on a new rank order filtering algorithm.

Zulfiqar Ali, Ali Arshad, Umair Razzaq, Sawaira Sana, Abdul Haseeb Ahmed, Abdullah M. Harris

Proceedings of the 2010 International Symposium on System on Chip, SoC 2010, Tampere, 2010