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ORCIDMuhammad Fahim
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2020 – today
- 2024
[j21]Fareena Naz
, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan Vu Cao, Ruth F. Hunter, Trung Q. Duong:
Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas. IEEE Access 12: 114073-114085 (2024)- [c20]Mehwish Mehmood, Majed Alsharari, Shahzaib Iqbal, Ivor T. A. Spence, Muhammad Fahim:
RetinaLiteNet: A Lightweight Transformer based CNN for Retinal Feature Segmentation. CVPR Workshops 2024: 2454-2463 - 2023
- [j20]Fareena Naz, Conor Mccann, Muhammad Fahim, Tuan Vu Cao, Ruth F. Hunter, Nguyen Trung Viet, Long Dinh Nguyen, Trung Q. Duong:
Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas. IEEE Access 11: 64016-64025 (2023) - [j19]Muhammad Fahim, Muhammad Sajid, Nasir Ali, Muhammad Naveed:
Unsteady blood flow of Carreau fluid in a porous saturated medium with stenosis under the influence of acceleration and magnetic fields: A comprehensive analysis. Comput. Biol. Medicine 164: 107278 (2023) - [j18]Antonino Masaracchia, Vishal Sharma, Muhammad Fahim, Octavia A. Dobre, Trung Q. Duong:
Digital Twin for Open RAN: Toward Intelligent and Resilient 6G Radio Access Networks. IEEE Commun. Mag. 61(11): 112-118 (2023) - [c19]Elif Ak, Khayal Huseynov, Berk Canberk, Muhammad Fahim, Octavia A. Dobre, Trung Q. Duong:
Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. AICS 2023: 1-4 - 2022
- [j17]Muhammad Fahim, Vishal Sharma, Tuan Vu Cao, Berk Canberk, Trung Q. Duong:
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access 10: 14184-14194 (2022) - [j16]Muhammad Fahim, S. M. Ahsan Kazmi, Asad Masood Khattak:
ApplianceNet: a neural network based framework to recognize daily life activities and behavior in smart home using smart plugs. Neural Comput. Appl. 34(15): 12749-12763 (2022) - [j15]Tugçe Bilen, Berk Canberk, Vishal Sharma, Muhammad Fahim, Trung Q. Duong:
AI-Driven Aeronautical Ad Hoc Networks for 6G Wireless: Challenges, Opportunities, and the Road Ahead. Sensors 22(10): 3731 (2022) - [j14]S. M. Ahsan Kazmi, Tai Manh Ho, Tuong Tri Nguyen, Muhammad Fahim, Adil Khan, Md. Jalil Piran, Gaspard Baye:
Computing on Wheels: A Deep Reinforcement Learning-Based Approach. IEEE Trans. Intell. Transp. Syst. 23(11): 22535-22548 (2022) - [c18]Muhammad Fahim, Vishal Sharma, Trung Q. Duong:
A Wearable-based Preventive Model To Promote Oral Health Through Personalized Notification. EMBC 2022: 4282-4285 - [c17]Rhian Chambers, Muhammad Fahim:
Healthy Aging: A Proactive Model to Prevent Self-neglecting Behavior in Smart Homes. HealthCom 2022: 173-178 - 2021
- [j13]Gcinizwe Dlamini, Muhammad Fahim:
DGM: a data generative model to improve minority class presence in anomaly detection domain. Neural Comput. Appl. 33(20): 13635-13646 (2021) - 2020
- [j12]Muhammad Fahim, Khadija Fraz, Alberto Sillitti:
TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings. Inf. Sci. 523: 1-13 (2020) - [c16]Denis Rangulov, Muhammad Fahim:
Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural Network. IPAS 2020: 14-20 - [i1]Denis Rangulov, Muhammad Fahim:
Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural Network. CoRR abs/2006.11168 (2020)
2010 – 2019
- 2019
- [j11]Muhammad Fahim, Alberto Sillitti:
Anomaly Detection, Analysis and Prediction Techniques in IoT Environment: A Systematic Literature Review. IEEE Access 7: 81664-81681 (2019) - [j10]Mohammed Al-Khafajiy, Thar Baker, Carl Chalmers, Muhammad Asim, Hoshang Kolivand, Muhammad Fahim, Atif Waraich:
Remote health monitoring of elderly through wearable sensors. Multim. Tools Appl. 78(17): 24681-24706 (2019) - [c15]Gcinizwe Dlamini, Rufina Galieva, Muhammad Fahim:
A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection. AICCSA 2019: 1-5 - [c14]Taimoor Shakeel Sheikh, Adil Khan, Muhammad Fahim, Muhammad Ahmad:
Synthesizing Data Using Variational Autoencoders for Handling Class Imbalanced Deep Learning. AIST (Supplement) 2019: 270-281 - [c13]Ran Wei, Weiwei Yuan, Donghai Guan, Asad Masood Khattak, Muhammad Fahim:
Improving Complex Network Controllability via Link Prediction. MLICOM 2019: 84-97 - [c12]Cong Li, Donghai Guan, Zhiyuan Cui, Weiwei Yuan, Asad Masood Khattak, Muhammad Fahim:
Noise Reduction in Network Embedding. MLICOM 2019: 109-120 - 2018
- [j9]Muhammad Fahim, Thar Baker, Asad Masood Khattak, Babar Shah, Saiqa Aleem, Francis Chow:
Context Mining of Sedentary Behaviour for Promoting Self-Awareness Using a Smartphone. Sensors 18(3): 874 (2018) - [c11]Muhammad Fahim, Alberto Sillitti:
An Anomaly Detection Model for Enhancing Energy Management in Smart Buildings. SmartGridComm 2018: 1-6 - 2017
- [c10]Muhammad Fahim, Asad Masood Khattak, Saiqa Aleem, Haseena Al Katheeri:
Physical activity recognizer based on multimodal sensors in smartphone for ubiquitous-lifecare services. AFRICON 2017: 524-529 - [c9]Muhammad Fahim, Thar Baker, Asad Masood Khattak, Omar Alfandi:
Alert me: Enhancing active lifestyle via observing sedentary behavior using mobile sensing systems. Healthcom 2017: 1-4 - 2016
- [c8]Muhammad Fahim, Asad Masood Khattak, Thar Baker, Francis Chow, Babar Shah:
Micro-context recognition of sedentary behaviour using smartphone. DICTAP 2016: 30-34 - [c7]Muhammad Fahim, Halil Ibrahim Cebe, Jawad Rasheed, Farzad Kiani:
mHealth: Blood donation application using android smartphone. DICTAP 2016: 35-38 - 2015
- [j8]Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee:
Smart CDSS: integration of Social Media and Interaction Engine (SMIE) in healthcare for chronic disease patients. Multim. Tools Appl. 74(14): 5109-5129 (2015) - [c6]Oresti Banos, Muhammad Bilal Amin, Wajahat Ali Khan, Muhammad Afzal, Mahmood Ahmad, Maqbool Ali, Taqdir Ali, Rahman Ali, Hafiz Syed Muhammad Bilal, Manhyung Han, Jamil Hussain, Maqbool Hussain, Shujaat Hussain, Tae Ho Hur, Jae Hun Bang, Thien Huynh-The, Muhammad Idris, Dong Wook Kang, Sang Beom Park, Hameed Siddiqui, Le-Ba Vui, Muhammad Fahim, Asad Masood Khattak, Byeong Ho Kang, Sungyoung Lee:
An Innovative Platform for Person-Centric Health and Wellness Support. IWBBIO (2) 2015: 131-140 - 2014
- [j7]Muhammad Fahim, Muhammad Idris, Rahman Ali, Christopher Nugent, Byeong Ho Kang, Eui-Nam Huh, Sungyoung Lee:
ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives. Sensors 14(5): 9313-9329 (2014) - [c5]Muhammad Fahim, Sungyoung Lee, Yongik Yoon:
SUPAR: Smartphone as a ubiquitous physical activity recognizer for u-healthcare services. EMBC 2014: 3666-3669 - [c4]Thien Huynh-The, Ba-Vui Le, Muhammad Fahim, Sungyoung Lee, Yongik Yoon, Byeong Ho Kang:
PAM-Based Behavior Modelling. IWAAL 2014: 34-37 - 2013
- [j6]Muhammad Fahim, Iram Fatima, Sungyoung Lee, Young-Koo Lee:
EEM: evolutionary ensembles model for activity recognition in Smart Homes. Appl. Intell. 38(1): 88-98 (2013) - [j5]Muhammad Fahim, Iram Fatima, Sungyoung Lee, Young-Tack Park:
EFM: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer. Appl. Intell. 39(3): 475-488 (2013) - [j4]Iram Fatima, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee:
A Genetic Algorithm-based Classifier Ensemble Optimization for Activity Recognition in Smart Homes. KSII Trans. Internet Inf. Syst. 7(11): 2853-2873 (2013) - [j3]Iram Fatima, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee:
A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes. Sensors 13(2): 2682-2699 (2013) - [j2]Iram Fatima, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee:
MODM: multi-objective diffusion model for dynamic social networks using evolutionary algorithm. J. Supercomput. 66(2): 738-759 (2013) - [j1]Iram Fatima, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee:
Analysis and effects of smart home dataset characteristics for daily life activity recognition. J. Supercomput. 66(2): 760-780 (2013) - [c3]Iram Fatima, Muhammad Fahim, Young-Koo Lee, Sungyoung Lee:
Classifier ensemble optimization for human activity recognition in smart homes. ICUIMC 2013: 83 - [c2]Muhammad Fahim, Ba-Vui Le, Iram Fatima, Sungyoung Lee, Yongik Yoon:
A Sleep Monitoring Application for u-lifecare Using Accelerometer Sensor of Smartphone. UCAmI 2013: 151-158 - 2011
- [c1]Iram Fatima, Muhammad Fahim, Donghai Guan, Young-Koo Lee, Sungyoung Lee:
Socially interactive CDSS for u-life care. ICUIMC 2011: 95
Coauthor Index
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