T. Swarnkar

发表

Wavelet Transform and Deep Convolutional Neural Network-Based Smart Healthcare System for Gastrointestinal Disease Detection

Janmenjoy Nayak, Subhashree Mohapatra, Manohar Mishra, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Graph-based unsupervised feature selection and multiview clustering for microarray data

Pabitra Mitra, Tripti Swarnkar, Pabitra Mitra, 2015, Journal of Biosciences.

A Multiclass Classification of Cancer Data: Using a Kernel Based Clustering k-NN Support

T. Swarnkar, C. Dash, 2009 .

Pervasive SAS Techniques for Designing a Data Warehouse for an Integrated Enterprise : An Approach towards Business Process

T. Swarnkar, Kaberi Das, Ardhendu Shekhar Tripathy, 2011 .

Sequence Alignment and Phylogenetic Tree Construction of Malarial Parasites

T. Swarnkar, R. Bandyopadhyay, 2010 .

Multistage classification of oral histopathological images using improved residual network.

Janmenjoy Nayak, T. Swarnkar, Santisudha Panigrahi, 2022, Mathematical biosciences and engineering : MBE.

A Domain-Based Frequency Count Approach for Protein-Protein Interaction Prediction using Support Vector Machine

T. Swarnkar, S. Mahapatra, 2011 .

Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data

David Correa Martins, Pabitra Mitra, Ronaldo Fumio Hashimoto, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets

Rockson Kwasi Afriyie, Edeh Michael Onyema, S. Kharya, 2022, Computational intelligence and neuroscience.

Perspective of nuclear fractal dimension in diagnosis and prognosis of oral squamous cell carcinoma

S. Panda, T. Swarnkar, Santisudha Panigrahi, 2022, Journal of oral and maxillofacial pathology : JOMFP.

Prediction of Depression Using EEG: A Comparative Study

Namrata P. Mohanty, S. Dash, T. Swarnkar, 2019, ICACIE.

Web-based Tool Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis

T. Swarnkar, S. Sahoo, Sweta Padma Routray, 2022, bioRxiv.

Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data

R. F. Hashimoto, D. Martins, Pabitra Mitra, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Machine Learning Techniques used for the Histopathological Image Analysis of Oral Cancer-A Review

Santisudha Panigrahi, Tripti Swarnkar, T. Swarnkar, 2020 .

Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network

Santisudha Panigrahi, Tripti Swarnkar, T. Swarnkar, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Graph-based unsupervised feature selection and multiview clustering for microarray data

Pabitra Mitra, T. Swarnkar, 2015, Journal of Biosciences.

Gene Selection Using Integrative Analysis of Multi‐Level Omics Data: A Systematic Review

T. Swarnkar, S. Mahapatra, 2021 .

Gene Selection and Enrichment for Microarray Data—A Comparative Network Based Approach

Tripti Swarnkar, Debasish Swapnesh Kumar Nayak, Saswati Mahapatra, 2018 .

Filter versus Wrapper Feature Subset Selection in Large Dimensionality Micro array : A Review

Tripti Swarnkar, Binita Kumari, T. Swarnkar, 2011 .

Object detection technique for malaria parasite in thin blood smear images

Tripti Swarnkar, Debdoot Sheet, Priyadarshini Adyasha Pattanaik, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Importance of Data Standardization Methods on Stock Indices Prediction Accuracy

Binita Kumari, Tripti Swarnkar, T. Swarnkar, 2020 .

Deep Learning Approach for Image Classification

Santisudha Panigrahi, Tripti Swarnkar, Anuja Nanda, 2018, 2018 2nd International Conference on Data Science and Business Analytics (ICDSBA).

Artificial Intelligence for Smart Healthcare Management: Brief Study

Subhashree Mohapatra, Tripti Swarnkar, Subhashree Mohapatra, 2020 .

UPolySeg: A U-Net-Based Polyp Segmentation Network Using Colonoscopy Images

Subhashree Mohapatra, Manohar Mishra, G. Pati, 2022, Gastroenterology Insights.

Biological networks integration based on dense module identification for gene prioritization from microarray data

Tripti Swarnkar, Saswati Mahapatra, B. Mandal, 2018, Gene Reports.

Elitism based Multi-Objective Differential Evolution for feature selection: A filter approach with an efficient redundancy measure

Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar, 2017, J. King Saud Univ. Comput. Inf. Sci..

Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules

S. Kharya, S. Soni, T. Swarnkar, 2023, International Journal of Information Technology.

Intelligent Computing in IoT-Enabled Smart Cities: A Systematic Review

Subhashree Mohapatra, Manohar Mishra, Janmenjoy Nayak, 2020 .

Integrated multiplex network based approach for hub gene identification in oral cancer

T. Swarnkar, J. Das, S. Mahapatra, 2021, Heliyon.

Prediction of Sub-cellular Localization of Scramblase Protein Family

S. Sahu, T. Swarnkar, Babita Sahoo, 2010 .

Capsule network based analysis of histopathological images of oral squamous cell carcinoma

Santisudha Panigrahi, Tripti Swarnkar, Jayshankar Das, 2020, J. King Saud Univ. Comput. Inf. Sci..

A Survey on Transfer Learning

Santisudha Panigrahi, Anuja Nanda, Tripti Swarnkar, 2020, Smart Innovation, Systems and Technologies.

Estimation Methods for Microarray Data with Missing Values : A Review Ms

Tripti Swarnkar, Adyasha Sahu, T. Swarnkar, 2011 .

Functional Analysis of Artificial Neural Network for Dataset Classification

Tripti Swarnkar, Rachita Misra, Rojalina Priyadarshini, 2010 .

Subset Selection in Large Dimensionality Micro array using Wrapper Method : A Review

T. Swarnkar, B. Kumari, 2011 .

Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique

Pravat K. Rout, Alok Kumar Jagadev, Tripti Swarnkar, 2018, Connect. Sci..

Generation of synthetic datasets using weighted bayesian association rules in clinical world

S. Kharya, S. Soni, T. Swarnkar, 2022, International journal of information technology.

Weighted Bayesian Association Rule Mining Algorithm to Construct Bayesian Belief Network

Tripti Swarnkar, Shweta Kharya, Sunita Soni, 2019, 2019 International Conference on Applied Machine Learning (ICAML).

Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data

Tripti Swarnkar, Bijeta Mandal, Saswati Mahapatra, 2017, POLIBITS.

ReCuRandom: A hybrid machine learning model for significant gene identification

T. Swarnkar, Amrutanshu Panigrahi, Abhilash Pati, 2023, AIP Conference Proceedings.

Deep convolutional neural network in medical image processing

Subhashree Mohapatra, Tripti Swarnkar, Jayashankar Das, 2021 .

A Critical Review on the Application of Artificial Neural Network in Bioinformatics

Tripti Swarnkar, Vrs Jhalia, T. Swarnkar, 2021 .

Forecasting Hydrogen Fuel Requirement for Highly Populated Countries Using NARnet

Tripti Swarnkar, S. K. Kamilla, Srikanta Kumar Mohapatra, 2017 .

Forecasting World Petroleum Fuel Crisis by Nonlinear Autoregressive Network

Tripti Swarnkar, S. K. Kamilla, Gyana Ranjan Patra, 2019, Advances in Intelligent Systems and Computing.

Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning.

Ruchi Bhuyan, Susmita Ghosh, T. Swarnkar, 2023, Heliyon.

Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis

T. Swarnkar, Sweta Padma Routray, Debasish Swapnesh Kumar Nayak, 2024, SN Comput. Sci..

Stock movement prediction using hybrid normalization technique and artificial neural network

T. Swarnkar, B. Kumari, 2021, International Journal of Advanced Technology and Engineering Exploration.

Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images

Subhashree Mohapatra, Manohar Mishra, T. Swarnkar, 2022, Ain Shams Engineering Journal.

aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli.

E. Isenovic, T. Swarnkar, Jasjit S. Suri, 2024, Frontiers in bioscience.

Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data

David Correa Martins, Pabitra Mitra, Ronaldo Fumio Hashimoto, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.