S. S. Roy

发表

Determination of network vulnerability factor using rough set

A. Kumar, S. Saxena, S. S. Roy, 2013, 2013 International Conference on Signal Processing , Image Processing & Pattern Recognition.

Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree

Sanjiban Sekhar Roy, Cornel Barna, S. S. Roy, 2016, SOFA.

Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review

S. S. Roy, Kathiravan Srinivasan, Paridhi Khandelwal, 2019, 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).

Landscape Mapping of Functional Proteins in Insulin Signal Transduction and Insulin Resistance: A Network-Based Protein-Protein Interaction Analysis

Sanjiban Sekhar Roy, S. S. Roy, C. Chakraborty, 2011, PloS one.

Deep convolutional neural network for environmental sound classification via dilation

Sanda Florentina Mihalache, S. S. Roy, Emil Pricop, 2022, Journal of Intelligent & Fuzzy Systems.

Tensor decomposition and principal component analysis-based unsupervised feature extraction outperforms state-of-the-art methods when applied to histone modification profiles

S. S. Roy, Y-h. Taguchi, 2022, bioRxiv.

Investigating the factors responsible for hepatitis disease using rough set theory

S. S. Roy, Archit Gupta, Sanchit Sabharwal, 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

Tensor Decomposition and Principal Component Analysis-Based Unsupervised Feature Extraction Outperforms State-of-the-Art Methods When Applied to Histone Modification Profiles

Sanjiban Sekhar Roy, S. S. Roy, Y-h. Taguchi, 2022, bioRxiv.

Novel Hate Speech Detection Using Word Cloud Visualization and Ensemble Learning Coupled with Count Vectorizer

Sanjiban Sekhar Roy, S. S. Roy, T. Turki, 2022, Applied Sciences.

Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models

Sanjiban Sekhar Roy, S. S. Roy, A. Awad, 2022, Future Internet.

A hypothetical relationship between the nuclear reprogramming factors for induced pluripotent stem (iPS) cells generation--bioinformatic and algorithmic approach.

Sanjiban Sekhar Roy, S. S. Roy, C. Hsu, 2011, Medical hypotheses.

Identification of genes associated with altered gene expression and m6A profiles during hypoxia using tensor decomposition based unsupervised feature extraction

S. S. Roy, Y-h. Taguchi, 2021, Scientific Reports.

Deep learning research should be encouraged for diagnosis and treatment of antibiotic resistance of microbial infections in treatment associated emergencies in hospitals.

S. S. Roy, M. Bhattacharya, K. Dhama, 2022, International journal of surgery.

Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network

Sanjiban Sekhar Roy, Behnam Mohammadi-Ivatloo, Satheesh Abimannan, 2021, Comput. Electr. Eng..

Estimating Concrete Compressive Strength Using MARS, LSSVM and GP

Sanjiban Sekhar Roy, S. S. Roy, P. Samui, 2020 .

A deep learning based CNN approach on MRI for Alzheimer's disease detection

Sanjiban Sekhar Roy, Raghav Sikaria, Aarti Susan, 2020, Intell. Decis. Technol..

Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass

Pijush Samui, Sanjiban Sekhar Roy, Pradeep Kurup, 2018 .

Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK

Sanjiban Sekhar Roy, Reetika Roy, Cornel Barna, 2016, SOFA.

Comparison of different optimized machine learning algorithms for daily river flow forecasting

Sanjiban Sekhar Roy, S. S. Roy, Z. Yaseen, 2022, Earth Science Informatics.

Cancer data investigation using variable precision Rough set with flexible classification

Sanjiban Sekhar Roy, Anupam Gupta, Anvesha Sinha, 2012, CCSEIT '12.

Forecasting heating and cooling loads of buildings: a comparative performance analysis

Pijush Samui, Sanjiban Sekhar Roy, Hemant Jain, 2020, J. Ambient Intell. Humaniz. Comput..

A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection

P. Venkata Krishna, Mohammad S. Obaidat, Sanjiban Sekhar Roy, 2017, ICMC.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Pijush Samui, Sanjiban Sekhar Roy, Ravinesh C. Deo, 2018 .

Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis

Sanjiban Sekhar Roy, Mehdi Abapour, Amjad Anvari-Moghaddam, 2021, IEEE Access.

Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques

Pijush Samui, Sanjiban Sekhar Roy, S. S. Roy, 2018 .

Stock Market Forecasting Using LASSO Linear Regression Model

Sanjiban Sekhar Roy, Ajith Abraham, Dishant Mittal, 2014, AECIA.

Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network

Pijush Samui, Sanjiban Sekhar Roy, Abhishek Sinha, 2016, SOFA.

Incremental Dilations Using CNN for Brain Tumor Classification

Sanjiban Sekhar Roy, Nishant Rodrigues, Y-h. Taguchi, 2020, Applied Sciences.

Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM

Sanjiban Sekhar Roy, Valentina E. Balas, Reetika Roy, 2018 .