Lal Hussain
Orcid: 0000-0003-1103-4938
According to our database1,
Lal Hussain
authored at least 23 papers
between 2018 and 2024.
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Bibliography
2024
Intelligent Bayesian Inference for Multiclass Lung Infection Diagnosis: Network Analysis of Ranked Gray Level Co-occurrence (GLCM) Features.
New Gener. Comput., December, 2024
EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme.
Expert Syst. Appl., 2024
Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers.
IEEE Access, 2024
2023
The Deep Learning ResNet101 and Ensemble XGBoost Algorithm with Hyperparameters Optimization Accurately Predict the Lung Cancer.
Appl. Artif. Intell., December, 2023
2022
Appl. Artif. Intell., December, 2022
Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option.
Appl. Artif. Intell., December, 2022
Future Challenges of Particulate Matters (PMs) Monitoring by Computing Associations Among Extracted Multimodal Features Applying Bayesian Network Approach.
Appl. Artif. Intell., December, 2022
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach.
Int. J. Imaging Syst. Technol., 2022
Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms.
Connect. Sci., 2022
Feature Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict the Lung Cancer.
Big Data Res., 2022
Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine.
IEEE Access, 2022
An Improved Imputation Method for Accurate Prediction of Imputed Dataset Based Radon Time Series.
IEEE Access, 2022
Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques.
Appl. Artif. Intell., 2022
Appl. Artif. Intell., 2022
Initial Stage COVID-19 Detection System Based on Patients' Symptoms and Chest X-Ray Images.
Appl. Artif. Intell., 2022
2021
IEEE Access, 2021
2020
Machine Learning Based Cost Effective Electricity Load Forecasting Model Using Correlated Meteorological Parameters.
IEEE Access, 2020
Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
2019
Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images.
IEEE Access, 2019
Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features.
IEEE Access, 2019
2018
A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning.
Int. J. Imaging Syst. Technol., 2018
Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State.
IEEE Access, 2018
Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies.
Proceedings of the 17th IEEE International Conference On Trust, 2018