Dr. Ali Mustafa Qamar
Dr. Ali Mustafa Qamar
Department of Computer Science, College of Computer, Qassim University
Verified email at - Homepage
Cited by
Cited by
A secure data sharing platform using blockchain and interplanetary file system
M Naz, FA Al-zahrani, R Khalid, N Javaid, AM Qamar, MK Afzal, M Shafiq
Sustainability 11 (24), 7054, 2019
Telecommunication subscribers' churn prediction model using machine learning
SA Qureshi, AS Rehman, AM Qamar, A Kamal, A Rehman
Eighth international conference on digital information management (ICDIM …, 2013
Surface water pollution detection using internet of things
U Shafi, R Mumtaz, H Anwar, AM Qamar, H Khurshid
2018 15th international conference on smart cities: improving quality of …, 2018
Water quality monitoring: from conventional to emerging technologies
U Ahmed, R Mumtaz, H Anwar, S Mumtaz, AM Qamar
Water Supply 20 (1), 2020
Similarity learning for nearest neighbor classification
AM Qamar, E Gaussier, JP Chevallet, JH Lim
2008 Eighth IEEE International Conference on Data Mining, 983-988, 2008
Image-based detection of plant diseases: from classical machine learning to deep learning journey
RU Khan, K Khan, W Albattah, AM Qamar
Wireless Communications and Mobile Computing 2021, 1-13, 2021
Detection of non-technical losses using SOSTLink and bidirectional gated recurrent unit to secure smart meters
H Gul, N Javaid, I Ullah, AM Qamar, MK Afzal, GP Joshi
Applied Sciences 10 (9), 3151, 2020
Improving sentiment analysis of Arabic tweets by One-Way ANOVA
M Alassaf, AM Qamar
Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022
Prediction and analysis of Pakistan election 2013 based on sentiment analysis
MA Razzaq, AM Qamar, HSM Bilal
2014 IEEE/ACM International conference on advances in social networks …, 2014
Blockchain based secure routing and trust management in wireless sensor networks
S Awan, N Javaid, S Ullah, AU Khan, AM Qamar, JG Choi
Sensors 22 (2), 411, 2022
Sentiment classification of Twitter data belonging to Saudi Arabian telecommunication companies
AM Qamar, SA Alsuhibany, SS Ahmed
Int. J. Adv. Comput. Sci. Appl 1 (8), 395-401, 2017
Advances and trends in real time visual crowd analysis
K Khan, W Albattah, RU Khan, AM Qamar, D Nayab
Sensors 20 (18), 5073, 2020
Online and batch learning of generalized cosine similarities
AM Qamar, E Gaussier
2009 Ninth IEEE International Conference on Data Mining, 926-931, 2009
Data analysis, quality indexing and prediction of water quality for the management of rawal watershed in Pakistan
M Ali, AM Qamar
Eighth International Conference on Digital Information Management (ICDIM …, 2013
Developing a network attack detection system using deep learning
B Alsughayyir, AM Qamar, R Khan
2019 International Conference on Computer and Information Sciences (ICCIS), 1-5, 2019
Crowd counting using end-to-end semantic image segmentation
K Khan, RU Khan, W Albattah, D Nayab, AM Qamar, S Habib, M Islam
Electronics 10 (11), 1293, 2021
Classification and legality analysis of bowling action in the game of cricket
M Salman, S Qaisar, AM Qamar
Data Mining and Knowledge Discovery 31, 1706-1734, 2017
Exploiting machine learning to detect malicious nodes in intelligent sensor-based systems using blockchain
MBE Sajid, S Ullah, N Javaid, I Ullah, AM Qamar, F Zaman
Wireless Communications and Mobile Computing 2022, 1-16, 2022
End-to-end semantic leaf segmentation framework for plants disease classification
K Khan, RU Khan, W Albattah, AM Qamar
Complexity 2022, 2022
Dates Fruit Recognition: From Classical Fusion to Deep Learning
KM Alresheedi, S Aladhadh, RU Khan, AM Qamar
Computer Systems Science and Engineering 40 (1), 151-166, 2022
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