Muhammad Ibrahim
Orcid: 0000-0001-8729-8759
According to our database1,
Muhammad Ibrahim
authored at least 78 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning.
IEEE Trans. Netw. Serv. Manag., February, 2024
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling.
CoRR, 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
Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images.
IEEE Access, 2024
2023
Machine learning based efficient prediction of positive cases of waterborne diseases.
BMC Medical Informatics Decis. Mak., December, 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
IEEE Trans. Intell. Transp. Syst., May, 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
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input.
IROS, 2023
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023
2022
Dataset, March, 2022
Sensors, 2022
Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation.
Sensors, 2022
An Effective Color Image Encryption Based on Henon Map, Tent Chaotic Map, and Orthogonal Matrices.
Sensors, 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
Live virtual machine migration: A survey, research challenges, and future directions.
Comput. Electr. Eng., 2022
Comput. Electr. Eng., 2022
Optimal smart contract for autonomous greenhouse environment based on IoT blockchain network in agriculture.
Comput. Electron. Agric., 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
2021
Symmetry, 2021
An energy efficient and low overhead fault mitigation technique for internet of thing edge devices reliable on-chip communication.
Softw. Pract. Exp., 2021
WPAN and IoT Enabled Automation to Authenticate Ignition of Vehicle in Perspective of Smart Cities.
Sensors, 2021
Exploiting Structured CNNs for Semantic Segmentation of Unstructured Point Clouds from LiDAR Sensor.
Remote. Sens., 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
DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing.
IEEE Access, 2021
IEEE Access, 2021
IEEE Access, 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
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
2020
An empirical comparison of random forest-based and other learning-to-rank algorithms.
Pattern Anal. Appl., 2020
Towards a Task and Resource Aware Task Scheduling in Cloud Computing: An Experimental Comparative Evaluation.
Int. J. Networked Distributed Comput., 2020
FIPA-based reference architecture for efficient discovery and selection of appropriate cloud service using cloud ontology.
Int. J. Commun. Syst., 2020
Mathematical modeling and analysis of SWCNT-Water and MWCNT-Water flow over a stretchable sheet.
Comput. Methods Programs Biomed., 2020
MAHA: Migration-based Adaptive Heuristic Algorithm for Large-scale Network Simulations.
Clust. Comput., 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
An In-Depth Empirical Investigation of State-of-the-Art Scheduling Approaches for Cloud Computing.
IEEE Access, 2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
Int. J. Ad Hoc Ubiquitous Comput., 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
SIM-Cumulus: An Academic Cloud for the Provisioning of Network-Simulation-as-a-Service (NSaaS).
IEEE Access, 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