Sanjiban Sekhar Roy

39 papers C 2Journal 25Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Prediction of airfoil self-noise using polynomial regression, multivariate adaptive regression splines, gradient boosting technique and deep learning technique.
Int. J. Adv. Intell. Paradigms
Sanjiban Sekhar Roy, Paridhi Singh, Gobind Manuja, Raghav Sikaria, Maharishi Parekh
2024 J jnl
CANBLWO: a novel hybrid approach for semantic text generation.
Int. Arab J. Inf. Technol.
Abhishek Kumar Pandey, Sanjiban Sekhar Roy
2024 J jnl
Extractive Question Answering Over Ancient Scriptures Texts Using Generative AI and Natural Language Processing Techniques.
IEEE Access
Abhishek Kumar Pandey, Sanjiban Sekhar Roy
2024 J jnl
Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach.
IEEE Trans. Comput. Soc. Syst.
Sanjiban Sekhar Roy, Akash Roy, Pijush Samui, Mostafa Gandomi, Amir H. Gandomi
2024 J jnl
Metadata and Review-Based Hybrid Apparel Recommendation System Using Cascaded Large Language Models.
IEEE Access
Sanjiban Sekhar Roy, Ayush Kumar, Rishikesh Suresh Kumar
2024 J jnl
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier.
CoRR
Md. Sohanur Rahman, Muhammad E. H. Chowdhury, Hasib Ryan Rahman, Mosabber Uddin Ahmed, Muhammad Ashad Kabir, Sanjiban Sekhar Roy, Rusab Sarmun
2023 J jnl
Comparison of different optimized machine learning algorithms for daily river flow forecasting.
Earth Sci. Informatics
Pijush Samui, Sefa Nur Yesilyurt, Huseyin Yildirim Dalkilic, Zaher Mundher Yaseen, Sanjiban Sekhar Roy, Sanjay Kumar
2023 J jnl
Natural Language Generation Using Sequential Models: A Survey.
Neural Process. Lett.
Abhishek Kumar Pandey, Sanjiban Sekhar Roy
2023 J jnl
Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles.
Algorithms
Turki Turki, Sanjiban Sekhar Roy, Y-h. Taguchi
2023 J jnl
Reliability analysis of shallow foundation based on settlement criteria.
Int. J. Adv. Intell. Paradigms
Pijush Samui, Aditi Palsapure, Sanjiban Sekhar Roy
2022 J jnl
Deep convolutional neural network for environmental sound classification via dilation.
J. Intell. Fuzzy Syst.
Sanjiban Sekhar Roy, Sanda Florentina Mihalache, Emil Pricop, Nishant Rodrigues
2022 J jnl
Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis.
IEEE Access
Arash Moradzadeh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Amjad Anvari-Moghaddam, Sanjiban Sekhar Roy
2022 J jnl
L2 regularized deep convolutional neural networks for fire detection.
J. Intell. Fuzzy Syst.
Sanjiban Sekhar Roy, Vatsal Goti, Aditya Sood, Harsh Roy, Tania Gavrila, Dan Floroian, Nicolae Paraschiv, Behnam Mohammadi-Ivatloo
2022 J jnl
Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models.
Future Internet
Sanjiban Sekhar Roy, Ali Ismail Awad, Lamesgen Adugnaw Amare, Mabrie Tesfaye Erkihun, Mohd Anas
2021 J jnl
Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS.
Int. J. Adv. Intell. Paradigms
Rahul Kumar, Pijush Samui, Sunita Kumari, Sanjiban Sekhar Roy
2021 J jnl
Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network.
Comput. Electr. Eng.
Ankita Bose, Ching-Hsien Hsu, Sanjiban Sekhar Roy, Kun Chang Lee, Behnam Mohammadi-Ivatloo, Satheesh Abimannan
2021 J jnl
Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline.
Int. J. Adv. Intell. Paradigms
Sanjiban Sekhar Roy, Pijush Samui
2020 J jnl
Forecasting heating and cooling loads of buildings: a comparative performance analysis.
J. Ambient Intell. Humaniz. Comput.
Sanjiban Sekhar Roy, Pijush Samui, Ishan Nagtode, Hemant Jain, Vishal Shivaramakrishnan, Behnam Mohammadi-Ivatloo
2020 — conf
Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis.
ICPR Workshops (4)
Sanjiban Sekhar Roy, Aditya Ranjan, Stefania Tomasiello
2020 J jnl
Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm.
J. Intell. Fuzzy Syst.
Sanjiban Sekhar Roy, Nicolae Paraschiv, Mihaela Popa, Ramona Lile, Ishan Naktode
2020 J jnl
Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies.
Int. J. Ad Hoc Ubiquitous Comput.
Sanjiban Sekhar Roy, Rohan Chopra, Kun Chang Lee, Concetto Spampinato, Behnam Mohammadi-Ivatloo
2019 J jnl
A deep learning based CNN approach on MRI for Alzheimer's disease detection.
Intell. Decis. Technol.
Sanjiban Sekhar Roy, Raghav Sikaria, Aarti Susan
2019 — ch.
Deep Learning for Brain Computer Interfaces.
Handbook of Deep Learning Applications
Ankita Bose, Sanjiban Sekhar Roy, Valentina Emilia Balas, Pijush Samui
2019 — book
Handbook of Deep Learning Applications.
Valentina Emilia Balas, Sanjiban Sekhar Roy, Dharmendra Sharma, Pijush Samui
2019 — conf
Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review.
ICCE-TW
Paridhi Khandelwal, Kathiravan Srinivasan, Sanjiban Sekhar Roy
2017 — conf
A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection.
ICMC
Sanjiban Sekhar Roy, Abhinav Mallik, Rishab Gulati, Mohammad S. Obaidat, P. Venkata Krishna
2017 J jnl
An ensemble design approach based on bagging technique for filtering e-mail spam.
Int. J. Auton. Adapt. Commun. Syst.
Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna
2016 — conf
Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree.
SOFA (2)
Sanjiban Sekhar Roy, Chitransh Pratyush, Cornel Barna
2016 — conf
Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK.
SOFA (2)
Sanjiban Sekhar Roy, Deeksha Kaul, Reetika Roy, Cornel Barna, Suhasini Mehta, Anusha Misra
2016 — conf
Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network.
SOFA (2)
Sanjiban Sekhar Roy, Abhishek Sinha, Reetika Roy, Cornel Barna, Pijush Samui
2015 — conf
An effective hybridized classifier for breast cancer diagnosis.
AIM
Dishant Mittal, Dev Gaurav, Sanjiban Sekhar Roy
2014 — conf
Analyzing Intrusion Detection System: An ensemble based stacking approach.
ISSPIT
Sanjiban Sekhar Roy, P. Venkata Krishna, Sumanth Yenduri
2014 — conf
Stock Market Forecasting Using LASSO Linear Regression Model.
AECIA
Sanjiban Sekhar Roy, Dishant Mittal, Avik Basu, Ajith Abraham
2013 C conf
Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System.
QSHINE
Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna, N. Saraf, Anant Gupta, Rajesh Mishra
2013 J jnl
Improving circuit miniaturization and its efficiency using Rough Set Theory.
CoRR
Sarvesh S. S. Rawat, Dheeraj Dilip Mor, Anugrah Kumar, Sanjiban Sekhar Roy, Rohit Kumar
2013 J jnl
Phishing Detection by determining reliability factor using rough set theory.
CoRR
Anugrah Kumar, Sanjiban Sekhar Roy, Sarvesh S. S. Rawat, Sanklan Saxena
2013 C conf
Rough set theory approach for filtering spams from boundary messages in a chat system.
ISDA
Sanjiban Sekhar Roy, Saptarshi Charaborty, Swapnil Sourav, Ajith Abraham
2012 J jnl
Can computational biology improve the phylogenetic analysis of insulin?
Comput. Methods Programs Biomed.
Chiranjib Chakraborty, Sanjiban Sekhar Roy, Minna J. Hsu, Govindasamy Agoramoorthy
2012 — conf
Cancer data investigation using variable precision Rough set with flexible classification.
CCSEIT
Sanjiban Sekhar Roy, Anupam Gupta, Anvesha Sinha, Rohit Ramesh