Muhammad Ibrahim
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
CoRR, May, 2025
A study of an efficient numerical method for solving the generalized fractional reaction-diffusion model involving a distributed-order operator along with stability analysis.
Comput. Math. Appl., 2025
A Sentence-Level Encoder-Decoder Architecture for Designing an Administrative Roman Urdu Chatbot.
Appl. Comput. Intell. Soft Comput., 2025
2024
IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning.
IEEE Trans. Netw. Serv. Manag., February, 2024
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks.
CoRR, 2024
Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model.
Comput., 2024
A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing.
Comput. Commun., 2024
An ensemble machine learning approach for the detection of unannounced meals to enhance postprandial glucose control.
Comput. Biol. Medicine, 2024
An integrated in silico approach for the identification of novel potential drug target and chimeric vaccine against Neisseria meningitides strain 331401 serogroup X by subtractive genomics and reverse vaccinology.
Comput. Biol. Medicine, 2024
Application of immunoinformatics to develop a novel and effective multiepitope chimeric vaccine against Variovorax durovernensis.
Comput. Biol. Chem., 2024
Fuzzy-Based Fusion Model for β-Thalassemia Carriers Prediction Using Machine Learning Technique.
Adv. Fuzzy Syst., 2024
Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images.
IEEE Access, 2024
On the Performance of Multi-IRS-Assisted Networks Across Real Urban, Suburban, and Rural Environments.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Wear's my Data? Understanding the Cross-Device Runtime Permission Model in Wearables.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
2023
Ugi efficient synthesis of novel N-alkylated lipopeptides, antimicrobial properties and computational studies in Staphylococcus aureus <i>via</i> MurD antibacterial target.
Comput. Biol. Chem., October, 2023
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market.
Int. J. Comput. Intell. Appl., September, 2023
On analysis of fractional order HIV infection model with the adaptive immune response under Caputo operator.
J. Appl. Math. Comput., April, 2023
Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models.
Inf., 2023
Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images.
Inf., 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data.
CoRR, 2023
An Exploratory Study on Simulated Annealing for Feature Selection in Learning-to-Rank.
CoRR, 2023
CoRR, 2023
Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning.
CoRR, 2023
IEEE Access, 2023
An Intelligent Hybrid Neural Collaborative Filtering Approach for True Recommendations.
IEEE Access, 2023
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023
2022
Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach.
Sensors, 2022
On evaluation of patrolling and signalling schemes to prevent poaching in green security games.
Intell. Syst. Appl., 2022
MHD Double-Diffusive Carreau Fluid Flow through a Porous Medium with Variable Thermal Conductivity and Suction/Injection.
Entropy, 2022
Comput. Syst. Sci. Eng., 2022
MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves.
CoRR, 2022
Understanding Bias and Variance of Learning-to-Rank Algorithms: An Empirical Framework.
Appl. Artif. Intell., 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), 2022
Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), 2022
2021
An energy efficient and low overhead fault mitigation technique for internet of thing edge devices reliable on-chip communication.
Softw. Pract. Exp., 2021
An exploratory prioritization of factors affecting current state of information security in Pakistani university libraries.
Int. J. Inf. Manag. Data Insights, 2021
Comput. Syst. Sci. Eng., 2021
IEEE Access, 2021
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021
Proceedings of the 18th International Conference on Electrical Engineering, 2021
2020
An empirical comparison of random forest-based and other learning-to-rank algorithms.
Pattern Anal. Appl., 2020
Mathematical modeling and analysis of SWCNT-Water and MWCNT-Water flow over a stretchable sheet.
Comput. Methods Programs Biomed., 2020
Genome re-seqeunce and analysis of <i>Burkholderia glumae</i> strain AU6208 and evidence of toxoflavin: A potential bacterial toxin.
Comput. Biol. Chem., 2020
AKCE Int. J. Graphs Comb., 2020
On Topological Indices for Swapped Networks Modeled by Optical Transpose Interconnection System.
IEEE Access, 2020
2019
Comput. Intell. Neurosci., 2019
Reducing correlation of random forest-based learning-to-rank algorithms using subsample size.
Comput. Intell., 2019
Proceedings of the 2019 7th International Conference on Computer and Communications Management, 2019
2018
Quadrotors' Low-cost Vision-based Autonomous Landing Architecture on a Moving Platform.
Proceedings of the 15th International Conference on Control, 2018
2017
Scalability and Performance of Random Forest based Learning-to-Rank for Information Retrieval.
SIGIR Forum, 2017
2016
Scalability and Performance of Random Forest based Learning-to-Rank for Information Retrieval.
PhD thesis, 2016
Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank.
ACM Trans. Inf. Syst., 2016
2014
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014
Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.
Proceedings of the Information Retrieval Technology, 2014
2010
Comparative Study of Statistical Skin Detection Algorithms for Sub-Continental Human Images
CoRR, 2010
2008
Proceedings of the 23rd IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT 2008), 2008
2004
Performance Analysis Study of Multicast Traffic in Star-Based Local WDM Lightwave Networks.
Proceedings of the ICETE 2004, 2004