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ORCIDAbdul Jabbar Siddiqui
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2020 – today
- 2024
[c13]Abdelhamid Mammeri, Abdul Jabbar Siddiqui, Yiheng Zhao:
Detection of Rail-track and Floodwater in UAV Imaging sensors Using Deep Learning. SysCon 2024: 1-6- [c12]Abdelhamid Mammeri, Abdul Jabbar Siddiqui, Yiheng Zhao:
VRU-Net: Convolutional Neural Networks-Based Detection of Vulnerable Road Users. VEHITS 2024: 257-266 - [c11]Adnan Munir, Abdul Jabbar Siddiqui, Saeed Anwar:
Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts. WACV (Workshops) 2024: 232-241 - 2023
- [j6]Rukhsar Yousaf, Hafiz Zia Ur Rehman
, Khurram Khan, Zeashan Hameed Khan, Adnan Fazil, Zahid Mahmood, Saeed Mian Qaisar, Abdul Jabbar Siddiqui:
Satellite Imagery-Based Cloud Classification Using Deep Learning. Remote. Sens. 15(23): 5597 (2023) - [c10]S. M. Suhail Hussain, Abdul Jabbar Siddiqui, Mohammad A. Abido:
Performance Evaluation of Communication Requirements of Smart Inverter and Distributed Energy Resource Management System. GCCE 2023: 652-653 - [i1]Adnan Munir, Abdul Jabbar Siddiqui:
Vision-based UAV Detection in Complex Backgrounds and Rainy Conditions. CoRR abs/2305.16450 (2023) - 2021
- [j5]Abdul Jabbar Siddiqui, Azzedine Boukerche:
TempoCode-IoT: temporal codebook-based encoding of flow features for intrusion detection in Internet of Things. Clust. Comput. 24(1): 17-35 (2021) - [j4]Abdul Jabbar Siddiqui, Azzedine Boukerche:
Adaptive ensembles of autoencoders for unsupervised IoT network intrusion detection. Computing 103(6): 1209-1232 (2021) - [j3]Abdul Jabbar Siddiqui, Azzedine Boukerche:
A Novel Lightweight Defense Method Against Adversarial Patches-Based Attacks on Automated Vehicle Make and Model Recognition Systems. J. Netw. Syst. Manag. 29(4): 41 (2021) - [c9]Abdelhamid Mammeri, Abdul Jabbar Siddiqui, Yiheng Zhao:
UAV-assisted Railway Track Segmentation based on Convolutional Neural Networks. VTC Spring 2021: 1-7 - 2020
- [c8]Abdul Jabbar Siddiqui, Azzedine Boukerche:
Encoded Flow Features for Network Intrusion Detection in Internet of Things. CCNC 2020: 1-6 - [c7]Abdelhamid Mammeri, Abdul Jabbar Siddiqui, Yiheng Zhao, Barry R. Pekilis:
Vulnerable Road Users Detection based on Convolutional Neural Networks. ISNCC 2020: 1-6 - [c6]Abdul Jabbar Siddiqui, Azzedine Boukerche:
Adversarial Patches-based Attacks on Automated Vehicle Make and Model Recognition Systems. Q2SWinet 2020: 115-121
2010 – 2019
- 2019
- [c5]Abdelhamid Mammeri, Yiheng Zhao, Azzedine Boukerche, Abdul Jabbar Siddiqui, Barry R. Pekilis:
Design of a Semi-Supervised Learning Strategy based on Convolutional Neural Network for Vehicle Maneuver Classification. WiSEE 2019: 65-70 - 2018
- [c4]Abdul Jabbar Siddiqui, Azzedine Boukerche:
On the Impact of DDoS Attacks on Software-Defined Internet-of-Vehicles Control Plane. IWCMC 2018: 1284-1289 - 2017
- [j2]Azzedine Boukerche, Abdul Jabbar Siddiqui, Abdelhamid Mammeri:
Automated Vehicle Detection and Classification: Models, Methods, and Techniques. ACM Comput. Surv. 50(5): 62:1-62:39 (2017) - 2016
- [j1]Abdul Jabbar Siddiqui, Abdelhamid Mammeri, Azzedine Boukerche:
Real-Time Vehicle Make and Model Recognition Based on a Bag of SURF Features. IEEE Trans. Intell. Transp. Syst. 17(11): 3205-3219 (2016) - 2015
- [c3]Abdul Jabbar Siddiqui, Abdelhamid Mammeri, Azzedine Boukerche:
Towards Efficient Vehicle Classification in Intelligent Transportation Systems. DIVANet@MSWiM 2015: 19-25 - 2013
- [c2]Tarek R. Sheltami, Abdul Jabbar Siddiqui, Hamza Ijaz Abbasi, Uthman Baroudi, Lahouari Ghouti:
Implementation of Rank Based Sleep Scheduling (RBSS) Protocol for WSNs in a Fixed Grid Topology. ANT/SEIT 2013: 348-355 - 2011
- [c1]Hamza Ijaz Abbasi, Abdul Jabbar Siddiqui:
Implementation of smart elevator system based on wireless multi-hop AdHoc sensor networks. NESEA 2011: 1-7
Coauthor Index
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