1 |
Anwar, R.
W., Abrar, M., Salam, A., & Ullah, F. (2025). Federated
learning with LSTM for intrusion detection in IoT-based wireless sensor
networks: A multi-dataset analysis. PeerJ Computer Science, 11,
e2751. https://doi.org/10.7717/peerj-cs.2751CoLab |
2 |
Anwer, R.
W., Abrar, M., & Ullah, F. (2025). Transformative
transfer learning for MRI brain tumor precision: Innovative insights. IEEE Access. https://doi.org/10.1109/ACCESS.2025.389079254ResearchGate |
3 |
Abrar, M.
(2025). Enhanced fuzzy deep learning for plant
disease detection to boost the agricultural economic growth. International Journal of
Advanced Computer Science & Applications, 16(2). https://thesai.org/Publications/ViewPaper?Code=IJACSA&Issue=2&SerialNo=133&Volume=16The Science and Information
Organization+1The Science and Information Organization+1 |
4 |
Asif, M.,
Abrar, M., Salam, A., Amin, F., Ullah, F., Shah, S., & AlSalman, H.
(2025). Intelligent two-phase dual authentication
framework for Internet of Medical Things. Scientific Reports, 15(1),
1760. https://doi.org/10.1038/s41598-024-84713-5Nature |
5 |
Abrar, M.,
Aboraya, W., Khaliq, R. A., Subramanian, K. P., Al Husaini, Y., &
Abdulla, M. (2025). AI-powered learning pathways:
Personalized learning and dynamic assessments. International Journal of Advanced Computer Science &
Applications, 16(1). |
6 |
Shah, D.,
Khan, M. A. U., Abrar, M., & Tahir, M. (2025). Dual-view
deep learning model for accurate breast cancer detection in mammograms. International Journal of
Intelligent Systems, 2025(1), 7638868. https://doi.org/10.1155/int/7638868ResearchGate+1Wiley Online Library+1 |
7 |
Qazi,
S., Shah, D., Khan, M. A. U., Ali, S., Abrar, M., Khan, A., & Tahir, M.
(2025). m5C-TNKmer: Identification of 5-methylated base cytosine of
ribonucleic acid using supervised machine learning
techniques. Engineering Reports, 7(1), e13073. https://doi.org/10.1002/eng2.13073 |
8 |
Sabbah, T.,
Ashraf, M., & Abrar, M. (2024). Enhanced support
vectors based oversampling method. In Proceedings of the 25th International Arab Conference on
Information Technology (ACIT) (pp.
1–7). https://dblp.org/db/conf/acit3/acit2024dblp |
9 |
Abdclmegid,
L. A., Abrar, M., & Ismaeel, A. A. K. (2024). Enhancing
IoT security through sentiment analysis: A framework for improved threat
detection and adaptive response. In Proceedings of the 2024 IEEE Global Conference on Artificial
Intelligence and Internet of Things. |
10 |
Advanced neural network-based model for predicting court
decisions on child custody, M Abrar, A Salam, F Ullah, M Nadeem, H AlSalman,
M Mukred, F Amin, PeerJ Computer Science 10, e2293, 2024 |
11 |
Extended dipeptide
compositio framework for accurate identification of anticancer peptides, F
Ullah, A Salam, M Nadeem, F Amin, H AlSalman, M Abrar, T Alfakih, Scientific
Reports 14 (1), 17381, 2024 |
12 |
m 5 C-TNKmer: Identification of
5-methylated base Cytosine of Ribonucleic Acid using Supervised Machine
Learning Techniques, D Shah, MAU Khan, S Ali, M Abrar, A Khan, M Tahir,
Authorea Preprints, 2024 |
13 |
An effective deep learning-based
approach for splice site identification in gene expression, M Ali, D Shah, S
Qazi, IA Khan, M Abrar, S Zahir, Science Progress 107 (3), 00368504241266588,
2024 |
14 |
DeepSplice: a deep learning
approach for accurate prediction of alternative splicing events in the human
genome, M Abrar, D Hussain, IA Khan, F Ullah, MA Haq, MA Aleisa, A
Alenizi,Frontiers in Genetics 15, 1349546, 2024 |
15 |
Securing Smart Manufacturing by
Integrating Anomaly Detection with Zero-Knowledge Proofs, A Salam, M Abrar, F
Amin, F Ullah, IA Khan, BF Alkhamees, H Alsalman, IEEE Access, 2024 |
16 |
Enhancing the Quality and
Authenticity of Synthetic Mammogram Images for Improved Breast Cancer
Detection, D Shah, MAU Khan, M Abrar, F Amin, BF Alkhamees, H AlSalman, IEEE
Access, 2024 |
17 |
Optimizing Breast Cancer Detection
With an Ensemble Deep Learning Approach, D Shah, MAU Khan, M Abrar, M Tahir,
International Journal of Intelligent Systems 2024 (1), 5564649, 2024 |
18 |
Reliable Breast Cancer Diagnosis
with Deep Learning: DCGAN‐Driven Mammogram Synthesis and Validity Assessment,
D Shah, MA Ullah Khan, M Abrar,Applied Computational Intelligence and Soft
Computing 2024 (1), 1122109, 2024 |
19 |
Revolutionizing Brain Tumor Segmentation in MRI with
Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep
Learning, F Ullah, M Nadeem, M Abrar, KSII Transactions on Internet &
Information Systems 18 (1), 2024 |
20 |
Efficient Data Collaboration Using Multi-Party
Privacy Preserving Machine Learning Framework, A Salam, M Abrar, F Ullah, IA
Khan, F Amin, GS Choi, IEEE Access, 2023 |
21 |
Evolutionary Model for Brain Cancer-Grading and
Classification, F Ullah, M Nadeem, M Abrar, F Amin, A Salam, A Alabrah, H
AlSalman, IEEE Access, 2023 |
22 |
Enhancing Brain Tumor Segmentation Accuracy through
Scalable Federated Learning with Advanced Data Privacy and Security Measures,
F Ullah, M Nadeem, M Abrar, F Amin, A Salam, S Khan, Mathematics 11 (19),
4189, 2023 |
23 |
Brain Tumor Segmentation from MRI Images Using
Handcrafted Convolutional Neural Network, F Ullah, M Nadeem, M Abrar, M
Al-Razgan, T Alfakih, F Amin, A Salam, Diagnostics 13 (16), 2650, 2023 |
24 |
Deep Learning Techniques for Web-Based Attack
Detection in Industry 5.0: A Novel Approach, A Salam, F Ullah, F Amin, M
Abrar, Technologies 11 (4), 107, 2023 |
25 |
Brain Tumor Segmentation Using a Patch-Based
Convolutional Neural Network: A Big Data Analysis Approach, F Ullah, A Salam,
M Abrar, F Amin, Mathematics 11 (7), 1635, 2023 |
26 |
A Convolutional Neural Network Model for Wheat Crop
Disease Prediction, MAK Mahmood Ashraf, Mohammad Abrar, Nauman Qadeer,
Abdulrahman A. Alshdadi, Computers, Materials & Continua 75 (2),
3867–3882, 2023 |
27 |
Deep Learning Techniques for Web-Based Attack
Detection in Industry 5.0: A Novel Approach. Technologies 2023, 11, 107, A
Salam, F Ullah, F Amin, M Abrar, Data Science and Big Data in Biology,
Physical Science and Engineering, 48, 2023 |
28 |
Smart MobiNet: A Deep Learning Approach for Accurate
Skin Cancer Diagnosis, M Suleman, F Ullah, G Aldehim, D Shah, M Abrar, A
Irshad, S Ayouni, CMC-COMPUTERS MATERIALS & CONTINUA 77 (3), 3533-3549,
2023 |
29 |
Machine Health Surveillance System by Using Deep
Learning Sparse Autoencoder, F Ullah, A Salam, M Abrar, M Ahmad, F Ullah, A
Khan, A Alharbi, 2022 |
30 |
Ransomware Early Detection Model using API-Calls at
Runtime by Random Decision Forests, MIKKAS IZAZ AHMAD KHAN, FAIZAN ULLAH,
MOHAMMAD ABRAR, SABIR SHAH, FAWAD TAJ, International Review of Basic and
Applied Sciences (IRBAS) 10 (April), 349-359, 2022 |
31 |
Mining predicate rules without minimum support
threshold, HI Ahmad, ATH Sim, R Ibrahim, SMA Shah, M Abrar, A Gul, Kuwait
Journal of Science 48 (4), 2021 |
32 |
Deep GRU-CNN model for COVID-19 detection from chest
X-rays data, PM Shah, F Ullah, D Shah, A Gani, C Maple, Y Wang, M Abrar, SU
Islam, Ieee Access 10, 35094-35105, 2021 |
33 |
Modified decision tree technique for ransomware
detection at runtime through API calls, F Ullah, Q Javaid, A Salam, M Ahmad,
N Sarwar, D Shah, M Abrar, Scientific Programming 2020 (1), 8845833, 2020 |
34 |
A review of the usable food delivery apps, HUR
Rahman, M Ashraf, M Abrar, A Mehmood, International Journal of Engineering
Research & Technology (IJERT) 8 (12), 85-91, 2019 |
35 |
Associative Classification using Automata with
Structure based Merging, M Abrar, ATH Sim, S Abbas, International Journal of
Advanced Computer Science and Applications 10 (7), 2019 |
36 |
Comparative Analysis of Mobile Phone Usability for
Younger and Older Adults, FZ Mahmood Ashraf, Sehrish Majeed, Thabit Sabbah,
Mohammad Abrar, Indian Journal of Science and Technology 11 (23), 1-6, 2018 |
37 |
Physicality and Usability Guidelines to Overcome the
Interaction Complexities, TS Mahmood Ashraf, Rabia Shakir, Mohammad Abrar*,
Muhammad Tahir, Indian Journal of Science and Technology 11 (23), 1-22, 2018 |
38 |
Effects of Pruning on Accuracy in Associative
Classification, M Abrar, ATH Sim, Journal of Informatics and Mathematical
Sciences 9 (4), 2017 |
39 |
CDBFIP: Common database forensic investigation
processes for Internet of Things, A Al-Dhaqm, S Razak, SH Othman, KKR Choo,
WB Glisson, A Ali, M Abrar, IEEE Access 5, 24401-24416, 2017 |
40 |
INFORMATION LOSS MINIMIZATION USING AUTOMATA BASED
ASSOCIATIVE CLASSIFICATION, M Abrar, ATH Sim, HJ Mei, Journal of Theoretical
and Applied Information Technology 88 (1), 89-99, 2016 |
41 |
Automata Bases Associative Classification (AAC) for
Data Mining, M Abrar, ATH Sim, JM Hee, Proceedings of 2016 6th International
Workshop on Computer Science , 2016 |
42 |
M Abrar, ATH Sim, D Shah, S Khusro (2014) WEATHER
PREDICTION USING CLASSIFICATION, , 36. Science International 26
(5), 2217, 2014 |
43 |
Blocking of Malicious Websites and Performance
Evaluation of a Gateway, SIU Shujaat Ali, Muhammad Abrar, Abdusalam, Science
Series Data Report (SSDR) 4 (8), 2-22, 2012 |
44 |
Comparing Adaptive Medium Access Control Protocol
with Sensor Medium Access Control Protocol for Wireless Sensor Networks, M
Abrar, M Amin, 2011 |
45 |
Comparison of OLSR & DYMO Routing Protocols on
the Basis of Different Performance Metrics in Mobile Ad-Hoc Networks, SR
Muhammad Amin, Muhammad Abrar, Abdusalam, American Journal of Scientific
Research, 34-47, 2011 |
46 |
Comparing Adaptive Medium Access Control Protocol
with Sensor Medium Access Control for Wireless Sensor Network, MA Abdusalam,
Muhammad Abrar, American Journal of Scientific Research (AJSR), 47-59, 2011 |
47 |
Seasonal to Inter-annual Climate Prediction Using Data Mining
KNN Technique, Z Jan, M Abrar, S Bashir, AM Mirza, Wireless Networks,
Information Processing and Systems, 40-51, |