Kamran Siddique
Orcid: 0000-0003-2286-1728
According to our database1,
Kamran Siddique
authored at least 23 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2023
An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals.
Clust. Comput., April, 2023
Computational Study of a Motion Sensor to Simultaneously Measure Two Physical Quantities in All Three Directions for a UAV.
Sensors, 2023
Proceedings of the IEEE East-West Design & Test Symposium, 2023
2022
Dimensionality Reduction, Modelling, and Optimization of Multivariate Problems Based on Machine Learning.
Symmetry, 2022
Computational Study on Thermal Motion Sensors That Can Measure Acceleration and Rotation Simultaneously.
Sensors, 2022
Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network.
IEEE Access, 2022
Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings.
IEEE Access, 2022
2021
Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models.
Symmetry, 2021
Feature Mapping and Deep Long Short Term Memory Network-Based Efficient Approach for Parkinson's Disease Diagnosis.
IEEE Access, 2021
2020
Combining Multiple Biometric Traits Using Asymmetric Aggregation Operators for Improved Person Recognition.
Symmetry, 2020
EURASIP J. Image Video Process., 2020
Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field.
IEEE Access, 2020
IEEE Access, 2020
2019
A deep learning platooning-based video information-sharing Internet of Things framework for autonomous driving systems.
Int. J. Distributed Sens. Networks, 2019
KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research.
Computer, 2019
IEEE Access, 2019
2018
Developing an Intrusion Detection Framework for High-Speed Big Data Networks: A Comprehensive Approach.
KSII Trans. Internet Inf. Syst., 2018
2017
J. Supercomput., 2017
Toward Bulk Synchronous Parallel-Based Machine Learning Techniques for Anomaly Detection in High-Speed Big Data Networks.
Symmetry, 2017
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017
2016
Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications.
IEEE Access, 2016