Muhammad Nabeel Asim
Orcid: 0000-0003-3062-9996
According to our database1,
Muhammad Nabeel Asim
authored at least 47 papers
between 2017 and 2025.
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Bibliography
2025
FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views.
CoRR, July, 2025
The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future.
CoRR, June, 2025
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines.
CoRR, May, 2025
Robust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal.
CoRR, May, 2025
AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network.
CoRR, March, 2025
RPCP-PURI: A robust and precise computational predictor for Phishing Uniform Resource Identification.
J. Inf. Secur. Appl., 2025
PassionNet: An innovative framework for duplicate and conflicting requirements identification.
Expert Syst. Appl., 2025
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance.
Comput. Biol. Medicine, 2025
Protein Sequence Analysis landscape: A Systematic Review of Task Types, Databases, Datasets, Word Embeddings Methods, and Language Models.
Database J. Biol. Databases Curation, 2025
Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives.
IEEE Access, 2025
2024
Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text.
Neural Comput. Appl., February, 2024
MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification.
Frontiers Artif. Intell., 2024
Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases.
Frontiers Artif. Intell., 2024
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations.
CoRR, 2024
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder.
Comput. Biol. Medicine, 2024
RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles.
IEEE Access, 2024
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2023
FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method.
Briefings Bioinform., January, 2023
An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis.
PhD thesis, 2023
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
2022
CircNet: an encoder-decoder-based convolution neural network (CNN) for circular RNA identification.
Neural Comput. Appl., 2022
2021
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.
Neural Comput. Appl., 2021
Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.
Neural Comput. Appl., 2021
A new feature selection metric for text classification: eliminating the need for a separate pruning stage.
Int. J. Mach. Learn. Cybern., 2021
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.
J. Biomed. Informatics, 2021
IEEE Access, 2021
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
CoRR, 2020
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification.
CoRR, 2020
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval.
Multim. Tools Appl., 2019
J. Biomed. Informatics, 2019
CoRR, 2019
Multi-Label Question Classification for Factoid and List Type Questions in Biomedical Question Answering.
IEEE Access, 2019
The Use of Ontology in Retrieval: A Study on Textual, Multilingual, and Multimedia Retrieval.
IEEE Access, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
2018
Selection of the most relevant terms based on a max-min ratio metric for text classification.
Expert Syst. Appl., 2018
Database J. Biol. Databases Curation, 2018
Database J. Biol. Databases Curation, 2018
2017
Comparison of feature selection methods in text classification on highly skewed datasets.
Proceedings of the First International Conference on Latest trends in Electrical Engineering and Computing Technologies, 2017