M. Sajid

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges.
IEEE Trans. Fuzzy Syst., October, 2024

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers.
IEEE Trans. Fuzzy Syst., August, 2024

Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems.
IEEE Trans. Fuzzy Syst., May, 2024

GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing.
CoRR, 2024

GRVFL-2V: Graph Random Vector Functional Link Based on Two-View Learning.
CoRR, 2024

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins.
CoRR, 2024

LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement.
CoRR, 2024

Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function.
CoRR, 2024

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern.
CoRR, 2024

2023
Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning.
CoRR, 2023

2013
Efficient spectrum optimization and mobility in cognitive radio based inter-vehicle communcation system.
Proceedings of the Second International Conference on Future Generation Communication Technologies (FGCT 2013), 2013


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