Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications. - Kamran Siddique; Zahid Akhtar; Edward J. Yoon; Young-Sik Jeong; Dipankar Dasgupta; Yangwoo Kim (IEEE Access, 2016)

Intrusion Detection in High-Speed Big Data Networks: A Comprehensive Approach. - Kamran Siddique; Zahid Akhtar; Yangwoo Kim (CSA/CUTE, 2017)

Toward Bulk Synchronous Parallel-Based Machine Learning Techniques for Anomaly Detection in High-Speed Big Data Networks. - Kamran Siddique; Zahid Akhtar; Haeng-Gon Lee; Woongsup Kim; Yangwoo Kim (Symmetry, 2017)

Investigating Apache Hama: a bulk synchronous parallel computing framework. - Kamran Siddique; Zahid Akhtar; Yangwoo Kim; Young-Sik Jeong; Edward J. Yoon (J. Supercomput., 2017)

Developing an Intrusion Detection Framework for High-Speed Big Data Networks: A Comprehensive Approach. - Kamran Siddique; Zahid Akhtar; Muhammad Ashfaq Khan; Yong-Hwan Jung; Yangwoo Kim (KSII Trans. Internet Inf. Syst., 2018)

Why is Multimedia Quality of Experience Assessment a Challenging Problem? - Zahid Akhtar; Kamran Siddique; Ajita Rattani; Syaheerah Lebai Lutfi; Tiago H. Falk (IEEE Access, 2019)

KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research. - Kamran Siddique; Zahid Akhtar; Farrukh Aslam Khan; Yangwoo Kim (Computer, 2019)

A deep learning platooning-based video information-sharing Internet of Things framework for autonomous driving systems. - Zishuo Zhou; Zahid Akhtar; Ka Lok Man; Kamran Siddique (Int. J. Distributed Sens. Networks, 2019)

Categorization and Organization of Database Forensic Investigation Processes. - Arafat Mohammed Rashad Al-Dhaqm; Shukor Abd Razak; David A. Dampier; Kim-Kwang Raymond Choo; Kamran Siddique; Adeyemi Richard Ikuesan; Abdulhadi Alqarni; Victor R. Kebande (IEEE Access, 2020)

A Review of Mobile Forensic Investigation Process Models. - Arafat Mohammed Rashad Al-Dhaqm; Shukor Abd Razak; Richard Adeyemi Ikuesan; Victor R. Kebande; Kamran Siddique (IEEE Access, 2020)

Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field. - Arafat Mohammed Rashad Al-Dhaqm; Shukor Abd Razak; Kamran Siddique; Richard Adeyemi Ikuesan; Victor R. Kebande (IEEE Access, 2020)

Improved two-stream model for human action recognition. - Yuxuan Zhao; Ka Lok Man; Jeremy S. Smith; Kamran Siddique; Sheng-Uei Guan (EURASIP J. Image Video Process., 2020)

Combining Multiple Biometric Traits Using Asymmetric Aggregation Operators for Improved Person Recognition. - Abderrahmane Herbadji; Zahid Akhtar; Kamran Siddique; Noubeil Guermat; Lahcene Ziet; Mohamed Cheniti; Khan Muhammad 001 (Symmetry, 2020)

Feature Mapping and Deep Long Short Term Memory Network-Based Efficient Approach for Parkinson's Disease Diagnosis. - Fatih Demir; Abdulkadir Sengür; Ali Ari; Kamran Siddique; Mohammed Alswaitti (IEEE Access, 2021)

Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models. - Semih Yavuzkilic; Abdulkadir Sengür; Zahid Akhtar; Kamran Siddique (Symmetry, 2021)

Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings. - Berna Ari; Kamran Siddique; Ömer Faruk Alçin; Muzaffer Aslan; Abdulkadir Sengür; Raja Majid Mehmood (IEEE Access, 2022)

Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network. - Andac Imak; Adalet Çelebi; Kamran Siddique; Muammer Turkoglu; Abdulkadir Sengür; Iftekhar Salam (IEEE Access, 2022)

Computational Study on Thermal Motion Sensors That Can Measure Acceleration and Rotation Simultaneously. - Kamran Siddique; Yoshifumi Ogami (Sensors, 2022)

Dimensionality Reduction, Modelling, and Optimization of Multivariate Problems Based on Machine Learning. - Mohammed Alswaitti; Kamran Siddique; Shulei Jiang; Waleed Alomoush; Ayat Alrosan (Symmetry, 2022)

A Survey on Hardware Prefetching in Shared-Memory Multiprocessors. - Shuaibu Musa Adam; Usman Ibrahim Musa; Kamran Siddique; Jie Zhang 030; Jingchen Wang; Danny Hughes 001; Ka Lok Man (EWDTS, 2023)

Computational Study of a Motion Sensor to Simultaneously Measure Two Physical Quantities in All Three Directions for a UAV. - Kamran Siddique; Yoshifumi Ogami (Sensors, 2023)

An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals. - Zijian Zhou; Muhammad Adeel Asghar; Daniyal Nazir; Kamran Siddique; Mohammad Shorfuzzaman; Raja Majid Mehmood (Clust. Comput., 2023)

An Approach for Full Reinforcement-Based Biometric Score Fusion. - Mohamed Cheniti; Zahid Akhtar; Chandranath Adak; Kamran Siddique (IEEE Access, 2024)

A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases. - Sajjad Saleem; Adil Hussain; Nabila Majeed; Zahid Akhtar; Kamran Siddique (CoRR, 2025)

Deep Learning in Early Alzheimer's disease's Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods. - Rubab Hafeez; Sadia Waheed; Syeda Aleena Naqvi; Fahad Maqbool; Amna Sarwar; Sajjad Saleem; Muhammad Imran Sharif 001; Kamran Siddique; Zahid Akhtar (CoRR, 2025)

Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation. - Muhammad Ahtsam Naeem; Muhammad Asim Saleem; Muhammad Imran Sharif 001; Shahzad Akber; Sajjad Saleem; Zahid Akhtar; Kamran Siddique (CoRR, 2025)

Advancing Remote and Continuous Cardiovascular Patient Monitoring through a Novel and Resource-efficient IoT-Driven Framework. - Sanam Nayab; Sohail Raza Chohan; Aqsa Jameel; Syed Rehan Shah; Syed Ahsan Masud Zaidi; Aditya Nath Jha; Kamran Siddique (CoRR, 2025)