S. Satapathy

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A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder

Sushruta Mishra, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, 2021, Cognitive Informatics and Soft Computing.

PATTER % BASED SUBSPACE CLUSTERI % G : A REVIEW

S. Satapathy, Debahuti Mishra, Shruti Mishra, 2022 .

Weighted Majority Voting Based Ensemble of Classifiers Using Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure

Sandeep Kumar Satapathy, S. Satapathy, 2017 .

Deep Learning Based Image Recognition for Vehicle Number Information

S. Satapathy, Shruti Mishra, Pradeep, 2019 .

Classification of Features for detecting Phishing Web Sites based on Machine Learning Techniques

P. Mallick, S. Satapathy, Shruti Mishra, 2019 .

Feature Ranking-Based Prediction of Climatic Parameters for Enhancement of Agricultural Production: A Case Study in Rice Production

Shruti K. Mishra, P. Mallick, S. Satapathy, 2021, Cognitive Informatics and Soft Computing.

Brain MRI ImageClassification for Cancer Detection using Deep Wavelet Autoencoder based Deep Neural Network

P. Mallick, S. Satapathy, Shruti Mishra, 2019 .

A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting

S. Satapathy, Shruti Mishra, S. Mohanty, 2022, Comput. Electr. Eng..

A Naïve Soft Computing based Approach for Gene Expression Data Analysis

Debahuti Mishra, Sandeep Kumar Satapathy, Shruti Mishra, 2012 .

Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network

Seuc Ho Ryu, Prayag Tiwari, Gia Nhu Nguyen, 2019, IEEE Access.

An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure

Satchidananda Dehuri, Alok Kumar Jagadev, Sandeep Kumar Satapathy, 2017, Informatica.

A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach

S. Satapathy, Shruti Mishra, S. Mohanty, 2023, New Generation Computing.

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks

Mikhail Zymbler, Sachin Kumar, Pradeep Kumar Mallick, 2020, Journal of Big Data.

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks

P. Mallick, S. Satapathy, P. Tiwari, 2020, Journal of Big Data.

EEG signal classification using PSO trained RBF neural network for epilepsy identification

Satchidananda Dehuri, Alok Kumar Jagadev, Sandeep Kumar Satapathy, 2017 .

S. Satapathy, Satchidananda Dehuri, Shruti Mishra, 2019, EEG Brain Signal Classification for Epileptic Seizure Disorder Detection.

A COMPARATIVE ANALYSIS OF FEATURE EXTRACTION AND MACHINE LEARNING BASED CLASSIFIER FOR EEG SIGNAL CLASSIFICATION

Satchidananda Dehuri, Alok Kumar Jagadev, Sandeep Kumar Satapathy, 2016 .

Particle swarm optimization based fuzzy frequent pattern mining from gene expression data

Debahuti Mishra, Sandeep Kumar Satapathy, Shruti Mishra, 2011, 2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011).

Fuzzy pattern tree approach for mining frequent patterns from gene expression data

Debahuti Mishra, Sandeep Kumar Satapathy, Shruti Mishra, 2011, 2011 3rd International Conference on Electronics Computer Technology.

Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data

Srikanta Patnaik, Debahuti Mishra, Sandeep Kumar Satapathy, 2012, Soft Computing Techniques in Vision Science.

Forex Prediction through Financial Trend Analysis

S. Satapathy, Shruti Mishra, Abhinav Basil Shinow, 2022, 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS).

ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal

Pradeep Kumar Mallick, Gyoo-Soo Chae, Sandeep Kumar Satapathy, 2021, Personal and Ubiquitous Computing.

Grocery Recommendation using Improvised Apriori Algorithm

P. Mallick, S. Satapathy, Shruti Mishra, 2022, 2022 OITS International Conference on Information Technology (OCIT).

An Empirical Analysis of Training Algorithms of Neural Networks: A Case Study of EEG Signal Classification Using Java Framework

Satchidananda Dehuri, Alok Kumar Jagadev, Sandeep Kumar Satapathy, 2015 .

Search Technique Using Wildcards or Truncation: A Tolerance Rough Set Clustering Approach

Debahuti Mishra, Sandeep Kumar Satapathy, Shruti Mishra, 2010 .

SMOTE and ABC optimised RBF network for coping with imbalanced class in EEG signal classification

Satchidananda Dehuri, Alok Kumar Jagadev, Sandeep Kumar Satapathy, 2018, Int. J. Medical Eng. Informatics.

A Study on Protein (P-glycoprotein) Homology Detection using Hidden Markov Model

Kaberi Das, Debahuti Mishra, Sandeep Kumar Satapathy, 2012 .

Skills, Schools and Employability: Developing Skill Based Education in Schools of India

S. Satapathy, Prativa Mahapatra, 2016 .

Advancing COVID-19 poverty estimation with satellite imagery-based deep learning techniques: a systematic review

S. Satapathy, S. Mohanty, S. Sah, 2024, Spatial Information Research.