2.2k citations · 2.4k across the 10 of their papers we have counts for
11 papers
Physics-Informed Broad Learning System: An Efficient Backpropagation-Free Framework for Solving Partial Differential Equations
Pinki Khatun, M. Sajid, Abhinav Jha +1
Physics-informed neural networks (PINNs) have emerged as a powerful paradigm for solving partial differential equations (PDEs) by embedding governing physical laws into deep neural…
Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
A. Quadir, M. Sajid, M. Tanveer
The identification of DNA-binding proteins (DBPs) is essential due to their significant impact on various biological activities. Understanding the mechanisms underlying protein-DNA…
Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
M. Sajid, Rahul Sharma, Iman Beheshti +1
The timely identification of significant memory concern (SMC) is crucial for proactive cognitive health management, especially in an aging population. Detecting SMC early enables t…
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
M. Sajid, A. K. Malik, M. Tanveer
In the realm of data classification, broad learning system (BLS) has proven to be a potent tool that utilizes a layer-by-layer feed-forward neural network. However, the traditional…
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
M. A. Ganaie, M. Sajid, A. K. Malik +1
The domain of machine learning is confronted with a crucial research area known as class imbalance learning, which presents considerable hurdles in precise classification of minori…
Heterogeneous Oblique Double Random Forest
M. A. Ganaie, M. Tanveer, I. Beheshti +2
The decision tree ensembles use a single data feature at each node for splitting the data. However, splitting in this manner may fail to capture the geometric properties of the dat…
Diagnosis of Schizophrenia: A comprehensive evaluation
M. Tanveer, Jatin Jangir, M. A. Ganaie +3
Machine learning models have been successfully employed in the diagnosis of Schizophrenia disease. The impact of classification models and the feature selection techniques on the d…
Oblique and rotation double random forest
M. A. Ganaie, M. Tanveer, P. N. Suganthan +1
Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among…
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
Ensemble learning combines several individual models to obtain better generalization performance. Currently, deep learning architectures are showing better performance compared to…
Identification of Chimera using Machine Learning
M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola +2
Chimera state refers to coexistence of coherent and non-coherent phases in identically coupled dynamical units found in various complex dynamical systems. Identification of Chimera…
Random Vector Functional Link Neural Network based Ensemble Deep Learning
Rakesh Katuwal, P. N. Suganthan, M. Tanveer
In this paper, we propose a deep learning framework based on randomized neural network. In particular, inspired by the principles of Random Vector Functional Link (RVFL) network, w…