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Dr. Fazli Subhan
Dr. Fazli Subhan
Associate Professor/Head, Dept. of Computer Science, National University of Modern Languages-NUML
Verified email at numl.edu.pk - Homepage
Title
Cited by
Cited by
Year
Indoor positioning in Bluetooth networks using fingerprinting and lateration approach
F Subhan, H Hasbullah, A Rozyyev, ST Bakhsh
2011 International Conference on Information Science and Applications, 1-9, 2011
2392011
A systematic review on clone node detection in static wireless sensor networks
M Numan, F Subhan, WZ Khan, S Hakak, S Haider, GT Reddy, A Jolfaei, ...
IEEE Access 8, 65450-65461, 2020
1552020
Senti‐eSystem: a sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
MZ Asghar, F Subhan, H Ahmad, WZ Khan, S Hakak, TR Gadekallu, ...
Software: Practice and Experience 51 (3), 571-594, 2021
1152021
Flood prediction and disaster risk analysis using GIS based wireless sensor networks, a review
N Ahmad, M Hussain, N Riaz, F Subhani, S Haider, KS Alamgir, ...
Journal of Basic and Applied Scientific Research 3 (8), 632-643, 2013
712013
Kalman filter‐based hybrid indoor position estimation technique in bluetooth networks
F Subhan, H Hasbullah, K Ashraf
International Journal of Navigation and Observation 2013 (1), 570964, 2013
682013
AI-enabled wearable medical internet of things in healthcare system: A survey
F Subhan, A Mirza, MBM Su’ud, MM Alam, S Nisar, U Habib, MZ Iqbal
Applied Sciences 13 (3), 1394, 2023
582023
Performance evaluation of supervised machine learning techniques for efficient detection of emotions from online content
MZ Asghar, F Subhan, M Imran, FM Kundi, S Shamshirband, A Mosavi, ...
arXiv preprint arXiv:1908.01587, 2019
562019
Device-free localization technique for indoor detection and tracking of human body: A survey
N Pirzada, MY Nayan, FSMF Hassan, MA Khan
Procedia-Social and Behavioral Sciences 129, 422-429, 2014
562014
Comparative analysis of active and passive indoor localization systems
N Pirzada, MY Nayan, F Subhan, MF Hassan, MA Khan
Aasri Procedia 5, 92-97, 2013
492013
Indoor child tracking in wireless sensor network using fuzzy logic technique
A Rozyyev, H Hasbullah, F Subhan
Research Journal of Information Technology 3 (2), 81-92, 2011
472011
Fuzzy-based sentiment analysis system for analyzing student feedback and satisfaction
MZ Asghar, I Ullah, S Shamshirband, FM Kundi, A Habib
Preprints, 2019
432019
Experimental analysis of received signals strength in Bluetooth Low Energy (BLE) and its effect on distance and position estimation
F Subhan, A Khan, S Saleem, S Ahmed, M Imran, Z Asghar, JI Bangash
Transactions on Emerging Telecommunications Technologies 33 (2), e3793, 2022
362022
Analysis of Bluetooth signal parameters for indoor positioning systems
F Subhan, H Hasbullah, A Rozyyev, ST Bakhsh
2012 International Conference on Computer & Information Science (ICCIS) 2 …, 2012
332012
Combined k-nearest neighbors and fuzzy logic indoor localization technique for wireless sensor network
A Rozyyev, H Hasbullah, F Subhan
Research Journal of Information Technology 4 (4), 155-165, 2012
322012
Applying deep neural networks for user intention identification
A Khattak, A Habib, MZ Asghar, F Subhan, I Razzak, A Habib
Soft Computing 25, 2191-2220, 2021
312021
A review of Urdu sentiment analysis with multilingual perspective: A case of Urdu and roman Urdu language
IU Khan, A Khan, W Khan, MM Su’ud, MM Alam, F Subhan, MZ Asghar
Computers 11 (1), 3, 2021
282021
Forensic speaker recognition: A new method based on extracting accent and language information from short utterances
S Saleem, F Subhan, N Naseer, A Bais, A Imtiaz
Forensic Science International: Digital Investigation 34, 300982, 2020
272020
An offline signature verification technique using pixels intensity levels
AS Shah, MNA Khan, F Subhan, M Fayaz, A Shah
International Journal of Signal Processing, Image Processing and Pattern …, 2016
232016
Filters for device-free indoor localization system based on rssi measurement
NPMY Nayan, MF Hassan, F Subhan
2014 International Conference on Computer and Information Sciences (ICCOINS …, 2014
222014
Deep learning based anomaly detection for fog-assisted IoVs network
S Yaqoob, A Hussain, F Subhan, G Pappalardo, M Awais
IEEE Access 11, 19024-19038, 2023
192023
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