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Nadeem Anjum
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2020 – today
- 2024
- [j16]Muhammad Waqas Ahmed, Nadeem Anjum:
Generic features selection for structure classification of diverse styled scholarly articles. Multim. Tools Appl. 83(6): 16623-16655 (2024) - 2023
- [j15]Ahmad S. Khattak, Nadeem Anjum, Nasrullah Khan, Muhammad Rafiq Mufti, Naeem Ramzan:
AMF-MSPF: A retrospective analysis with online object tracking algorithms. Displays 76: 102354 (2023) - [j14]Muhammad Waqas Ahmed, Nadeem Anjum, Muhammad Tanvir Afzal:
A hybrid strategy to extract metadata from scholarly articles by utilizing support vector machine and heuristics. Scientometrics 128(8): 4349-4382 (2023) - [j13]Salman Ahmed, Saad Irfan, Nasira Kirn, Nayyer Masood, Nadeem Anjum, Naeem Ramzan:
Remote Health Monitoring Systems for Elderly People: A Survey. Sensors 23(16): 7095 (2023) - 2022
- [j12]Muhammad Ali Jamshed, Charalambos Theodorou, Tahera Kalsoom, Nadeem Anjum, Qammer H. Abbasi, Masood Ur Rehman:
Intelligent computing based forecasting of deforestation using fire alerts: A deep learning approach. Phys. Commun. 55: 101941 (2022) - [j11]Abdul Jabbar, Qammer H. Abbasi, Nadeem Anjum, Tahera Kalsoom, Naeem Ramzan, Shehzad Ahmed, Piyya Muhammad Rafi-ul-Shan, Oluyemi Peter Falade, Muhammad Ali Imran, Masood Ur Rehman:
Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond. Sensors 22(7): 2688 (2022) - [j10]Saad Irfan, Nadeem Anjum, Turke Althobaiti, Abdullah Alhumaidi Alotaibi, Abdul Basit Siddiqui, Naeem Ramzan:
Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique. Sensors 22(15): 5606 (2022) - [c11]Amina Ashfaq, Nadeem Anjum, Salman Ahmed, Nayyer Masood:
Hybrid Deep Learning model for ECG-based Arrhythmia Detection. FIT 2022: 278-283 - [c10]Nagina Razzaq, Nayyer Masood, Saba Nawaz, Nadeem Anjum, Naeem Ramzan:
Stroke Prediction in Elderly Persons using Remote Health Monitoring. ICECS 2022 2022: 1-4 - 2021
- [j9]Adnan Mahmood Qureshi, Nadeem Anjum, Rao Naveed Bin Rais, Masood Ur Rehman, Amir Qayyum:
Detection of malicious consumer interest packet with dynamic threshold values. PeerJ Comput. Sci. 7: e435 (2021) - [j8]Saad Irfan, Nadeem Anjum, Nayyer Masood, Ahmad S. Khattak, Naeem Ramzan:
A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities. Sensors 21(24): 8227 (2021) - 2020
- [j7]Shafina Bibi, Nadeem Anjum, Tehmina Amjad, Graeme McRobbie, Naeem Ramzan:
Human Interaction Anticipation by Combining Deep Features and Transformed Optical Flow Components. IEEE Access 8: 137646-137657 (2020) - [c9]Adnan Mahmood Qureshi, Nadeem Anjum:
Detection of Malicious Consumer Interest Packet while Mitigating Content Poisoning Attack with Name-Key Based Forwarding and Multipath Forwarding Based Inband Probe. UCET 2020: 1-4
2010 – 2019
- 2018
- [j6]Shafina Bibi, Nadeem Anjum, Muhammad Sher:
Automated multi-feature human interaction recognition in complex environment. Comput. Ind. 99: 282-293 (2018) - 2015
- [j5]Emre H. Brookes, Nadeem Anjum, Joseph E. Curtis, Suresh Marru, Raminder Singh, Marlon E. Pierce:
The GenApp framework integrated with Airavata for managed compute resource submissions. Concurr. Comput. Pract. Exp. 27(16): 4292-4303 (2015) - 2014
- [c8]Ahmad S. Khattak, Gulistan Raja, Nadeem Anjum, Muhammad Qasim:
Integration of Mean-Shift and Particle Filter: A Survey. FIT 2014: 286-291 - [c7]Emre H. Brookes, Nadeem Anjum, Joseph E. Curtis, Suresh Marru, Raminder Singh, Marlon E. Pierce:
GenApp module execution and airavata integration. GCE@SC 2014: 9-12 - 2012
- [j4]Nadeem Anjum, Andrea Cavallaro:
Automated Localization of a Camera Network. IEEE Intell. Syst. 27(5): 10-18 (2012) - [j3]Muhammad J. Mirza, Nadeem Anjum:
Association of Moving Objects Across Visual Sensor Networks. J. Multim. 7(1): 2-8 (2012) - 2011
- [j2]Nadeem Anjum:
Camera Localization in Distributed Networks Using Trajectory Estimation. J. Electr. Comput. Eng. 2011: 604647:1-604647:13 (2011) - 2010
- [b1]Nadeem Anjum:
Trajectory based video analysis in multi-camera setups. Queen Mary University of London, UK, 2010 - [p1]Nadeem Anjum, Andrea Cavallaro:
Trajectory Clustering for Scene Context Learning and Outlier Detection. Video Search and Mining 2010: 33-51
2000 – 2009
- 2009
- [c6]Nadeem Anjum, Andrea Cavallaro:
Trajectory Association and Fusion across Partially Overlapping Cameras. AVSS 2009: 201-206 - [c5]Nadeem Anjum, Andrea Cavallaro:
Localization of distributed wireless cameras. ICDSC 2009: 1-6 - 2008
- [j1]Nadeem Anjum, Andrea Cavallaro:
Multifeature Object Trajectory Clustering for Video Analysis. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1555-1564 (2008) - [c4]Gabin Kayumbi, Nadeem Anjum, Andrea Cavallaro:
Global trajectory reconstruction from distributed visual sensors. ICDSC 2008: 1-8 - 2007
- [c3]Nadeem Anjum, Andrea Cavallaro:
Single camera calibration for trajectory-based behavior analysis. AVSS 2007: 147-152 - [c2]Nadeem Anjum, Murtaza Taj, Andrea Cavallaro:
Relative Position Estimation of Non-Overlapping Cameras. ICASSP (2) 2007: 281-284 - [c1]Nadeem Anjum, Andrea Cavallaro:
Unsupervised Fuzzy Clustering for Trajectory Analysis. ICIP (3) 2007: 213-216
Coauthor Index
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