Particles with Age for Data Clustering. - Satchidananda Dehuri; Ashish Ghosh; Rajib Mall (ICIT, 2006)

Predictive and comprehensible rule discovery using a multi-objective genetic algorithm. - Satchidananda Dehuri; Rajib Mall (Knowl. Based Syst., 2006)

Parallel Processing of OLAP Queries Using a Cluster of Workstations. - Satchidananda Dehuri; Rajib Mall (Int. J. Inf. Technol. Decis. Mak., 2007)

Reduced polynomial neural swarm net for classification task in data mining. - Bijan Bihari Misra; Satchidananda Dehuri; Pradipta K. Dash; Ganapati Panda (IEEE Congress on Evolutionary Computation, 2008)

Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem. - Satchidananda Dehuri; Sung-Bae Cho; Alok Kumar Jagadev (ICIT, 2008)

A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining. - Satchidananda Dehuri; Bijan Bihari Misra; Sung-Bae Cho (ICONIP (1), 2008)

Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification. - Satchidananda Dehuri; Bijan Bihari Misra; Sung-Bae Cho (IDEAL, 2008)

A novel particle swarm optimization for multiple campaigns assignment problem. - Satchidananda Dehuri; Sung-Bae Cho (CSTST, 2008)

Application of elitist multi-objective genetic algorithm for classification rule generation. - Satchidananda Dehuri; Srikanta Patnaik; Ashish Ghosh; Rajib Mall (Appl. Soft Comput., 2008)

Particle Swarm Optimised polynomial neural network for classification: a multi-objective view. - Satchidananda Dehuri; Ashish Ghosh; Sung-Bae Cho (Int. J. Intell. Def. Support Syst., 2008)

A reduced and comprehensible polynomial neural network for classification. - Bijan Bihari Misra; Satchidananda Dehuri; Pradipta K. Dash; Ganapati Panda (Pattern Recognit. Lett., 2008)

Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases. - Satchidananda Dehuri; Susmita Ghosh; Ashish Ghosh (Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008)

A Hybrid APSO-aided Learnable Bayesian Classifier. - Satchidananda Dehuri; Bijaya Kumar Nanda; Sung-Bae Cho (IICAI, 2009)

A Fresh Particle Swarm Optimizations: A Position Paper. - Swagatika Devi; Alok Kumar Jagadev; Satchidananda Dehuri; Rajib Mall (NaBIC, 2009)

Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art. - Satchidananda Dehuri; Sung-Bae Cho (Comput. Sci. Rev., 2009)

Swarm Intelligence for Optimizing Hybridized Smoothing Filter in Image Edge Enhancement. - B. Tirumala Rao; Satchidananda Dehuri; M. Dileep; A. Vindhya (SEMCCO, 2010)

Evolutionarily optimized features in functional link neural network for classification. - Satchidananda Dehuri; Sung-Bae Cho (Expert Syst. Appl., 2010)

A comprehensive survey on functional link neural networks and an adaptive PSO-BP learning for CFLNN. - Satchidananda Dehuri; Sung-Bae Cho (Neural Comput. Appl., 2010)

A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets. - Satchidananda Dehuri; Sung-Bae Cho (Neural Comput. Appl., 2010)

A Combinatorial Multi-objective Particle Swarm Optimization Based Algorithm for Task Allocation in Distributed Computing Systems. - Rahul Roy; Madhabananda Das; Satchidananda Dehuri (ACC (4), 2011)

A serial and parallel genetic based learning algorithm for Bayesian classifier to predict metabolic syndrome. - Satchidananda Dehuri; Bhabani Shankar Prasad Mishra; Rahul Roy; Sung-Bae Cho (Bangalore Compute Conf., 2011)

An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome. - Satchidananda Dehuri; Rahul Roy; Sung-Bae Cho (GECCO (Companion), 2011)

Parallel multi-objective genetic algorithms for associative classification rule mining. - Bhabani Shankar Prasad Mishra; A. K. Addy; Rahul Roy; Satchidananda Dehuri (ICCCS, 2011)

Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement. - Tirimula Rao Benala; Satchidananda Dehuri; G. S. Surya Vamsi Sirisetti; Aditya Pagadala (SEMCCO (1), 2011)

Genetic Algorithm for Optimizing Neural Network Based Software Cost Estimation. - Tirimula Rao Benala; Satchidananda Dehuri; Suresh Chandra Satapathy; Ch. Sudha Raghavi (SEMCCO (1), 2011)

A Novel Learning Scheme for Chebyshev Functional Link Neural Networks. - Satchidananda Dehuri (Adv. Artif. Neural Syst., 2011)

A condensed polynomial neural network for classification using swarm intelligence. - Satchidananda Dehuri; Bijan Bihari Misra; Ashish Ghosh; Sung-Bae Cho (Appl. Soft Comput., 2011)

Parallel Single and Multiple Objectives Genetic Algorithms: A Survey. - Bhabani Shankar Prasad Mishra; Satchidananda Dehuri; Rajib Mall; Ashish Ghosh (Int. J. Appl. Evol. Comput., 2011)

A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization. - Madhabananda Das; Rahul Roy; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Appl. Metaheuristic Comput., 2011)

A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem. - Rahul Roy; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Appl. Metaheuristic Comput., 2011)

Some Studies on Particle Swarm Optimization for Single and Multi-Objective Problems. - Madhabananda Das; Satchidananda Dehuri (Integration of Swarm Intelligence and Artificial Neural Network, 2011)

Swarm Intelligence and Neural Networks. - Satchidananda Dehuri; Sung-Bae Cho; Susmita Ghosh (Integration of Swarm Intelligence and Artificial Neural Network, 2011)

Performance Evaluation of Social Network Using Data Mining Techniques. - Mrutyunjaya Panda; Ajith Abraham; Satchidananda Dehuri; Manas Ranjan Patra (Computational Social Networks, 2012)

Software Effort Prediction Using Fuzzy Clustering and Functional Link Artificial Neural Networks. - Tirimula Rao Benala; Rajib Mall; Satchidananda Dehuri; V. L. Prasanthi (SEMCCO, 2012)

Scalable Fuzzy Genetic Classifier Based on Fitness Approximation. - Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh (SEMCCO, 2012)

On Clustering of DNA Sequence of Olfactory Receptors Using Scaled Fuzzy Graph Model. - Satya Ranjan Dash; Satchidananda Dehuri; Uma Kant Sahoo; Gi-Nam Wang (SocProS, 2012)

A Review of Hybrid Machine Learning Approaches in Cognitive Classification. - Shantipriya Parida; Satchidananda Dehuri (SocProS, 2012)

Functional Link Artificial Neural Networks for Software Cost Estimation. - Tirimula Rao Benala; Satchidananda Dehuri; Rajib Mall (Int. J. Appl. Evol. Comput., 2012)

Usage of Fuzzy, Rough, and Soft Set Approach in Association Rule Mining. - Satya Ranjan Dash; Satchidananda Dehuri; Uma Kant Sahoo (Int. J. Artif. Life Res., 2012)

Lost Student Tracking in an Incomplete and Imprecise Information Environment Using Soft Computing Paradigm. - Satya Ranjan Dash; Susil Rayaguru; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Artif. Life Res., 2012)

Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer. - Satchidananda Dehuri; Sung-Bae Cho (Int. J. Fuzzy Syst. Appl., 2012)

An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification. - Satchidananda Dehuri; Rahul Roy; Sung-Bae Cho; Ashish Ghosh (J. Syst. Softw., 2012)

Computational intelligence in software cost estimation: an emerging paradigm. - Tirimula Rao Benala; Satchidananda Dehuri; Rajib Mall (ACM SIGSOFT Softw. Eng. Notes, 2012)

A sliding window based meta-majority of voting ensemble for credit risk assessment. - Lopamudra Pradhan; Gi-Nam Wang; Satchidananda Dehuri (ICACCI, 2013)

Neural Networks Training Based on Differential Evolution in Radial Basis Function Networks for Classification of Web Logs. - Ch. Sanjeev Kumar Dash; Ajit Kumar Behera; Manoj Kumar Pandia; Satchidananda Dehuri (ICDCIT, 2013)

Software Effort Estimation Using Functional Link Neural Networks Optimized by Improved Particle Swarm Optimization. - Tirimula Rao Benala; Rajib Mall; Satchidananda Dehuri (SEMCCO (2), 2013)

DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features. - Ch. Sanjeev Kumar Dash; Aditya Prakash Dash; Satchidananda Dehuri; Sung-Bae Cho; Gi-Nam Wang (Eng. Appl. Artif. Intell., 2013)

Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification. - Ch. Sanjeev Kumar Dash; Ajit Kumar Behera; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Appl. Evol. Comput., 2013)

Feature Selection for Designing a Novel Differential Evolution Trained Radial Basis Function Network for Classification. - Ch. Sanjeev Kumar Dash; Aditya Prakash Dash; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Appl. Metaheuristic Comput., 2013)

A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria. - Bhabani Shankar Prasad Mishra; Satchidananda Dehuri; Gi-Nam Wang (Int. J. Appl. Metaheuristic Comput., 2013)

Interactions and Applications of Fuzzy, Rough, and Soft Set in Data Mining. - Satya Ranjan Dash; Satchidananda Dehuri; Uma Kant Sahoo (Int. J. Fuzzy Syst. Appl., 2013)

Scaled Fuzzy Graph for Cluster Analysis in DNA Sequence of Olfactory Receptors. - Satya Ranjan Dash; Satchidananda Dehuri; Uma Kant Sahoo (Int. J. Heal. Inf. Syst. Informatics, 2013)

MVClustViz: A Novice Yet Simple Multivariate Cluster Visualization Technique for Centroid-based Clusters. - Sagar S. De; Minati Mishra; Satchidananda Dehuri (Int. J. Syst. Dyn. Appl., 2013)

An Ultra-fast Approach to Align Longer Short Reads onto Human Genome. - Arup Ghosh; Gi-Nam Wang; Satchidananda Dehuri (Informatica (Slovenia), 2013)

A Survey on Fuzzy Association Rule Mining. - Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh (Int. J. Data Warehous. Min., 2013)

Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification. - Satchidananda Dehuri; Ashish Ghosh (WIREs Data Mining Knowl. Discov., 2013)

Classification of Web Logs Using Hybrid Functional Link Artificial Neural Networks. - Ajit Kumar Behera; Ch. Sanjeev Kumar Dash; Satchidananda Dehuri (FICTA (1), 2014)

Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization. - Tirimula Rao Benala; Rajib Mall; Satchidananda Dehuri; Pala Swetha (SEMCCO, 2014)

Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization. - Sagarika Bakshi; Alok Kumar Jagadev; Satchidananda Dehuri; Gi-Nam Wang (Appl. Soft Comput., 2014)

Review of fMRI Data Analysis: A Special Focus on Classification. - Shantipriya Parida; Satchidananda Dehuri (Int. J. E Health Medical Commun., 2014)

Potential Indicators Based Neural Networks for Cash Forecasting of an ATM. - Partha Sarathi Mishra; Satchidananda Dehuri (Int. J. Inf. Syst. Soc. Chang., 2014)

A comprehensive survey of multi-objective genetic and fuzzy approaches in rule mining problem of knowledge discovery in databases. - Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh (Int. J. Inf. Technol. Commun. Convergence, 2014)

Interactive Genetic Algorithms for Optimal Assignment of Blocks into Workspaces of Shipbuilding Industry. - Shiming Qin; Satchidananda Dehuri; Gi-Nam Wang (Int. J. Appl. Evol. Comput., 2015)

An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels. - Ch. Sanjeev Kumar Dash; Pulak Sahoo; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Artif. Intell. Tools, 2015)

Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database. - Ch. Sanjeev Kumar Dash; Satchidananda Dehuri; Sung-Bae Cho; Gi-Nam Wang (Int. J. Comput. Intell. Syst., 2015)

Weapon target assignment problem: multi-objective formulation, optimisation using MOPSO and TOPSIS. - Bhabani Shankar Prasad Mishra; Eui-Whan Kim; Guck-Cheol Bang; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Intell. Def. Support Syst., 2015)

Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection. - Ch. Sanjeev Kumar Dash; Ajit Kumar Behera; Satchidananda Dehuri; Sung-Bae Cho; Gi-Nam Wang (Informatica (Slovenia), 2015)

Comparison of Various Approaches in Multi-objective Particle Swarm Optimization (MOPSO): Empirical Study. - Swagatika Devi; Alok Kumar Jagadev; Satchidananda Dehuri (Multi-objective Swarm Intelligence, 2015)

Swarm Intelligence in Multiple and Many Objectives Optimization: A Survey and Topical Study on EEG Signal Analysis. - Bhabani Shankar Prasad Mishra; Satchidananda Dehuri; Sung-Bae Cho (Multi-objective Swarm Intelligence, 2015)

An Automated Ear Localization Technique Based on Modified Hausdorff Distance. - Partha Pratim Sarangi; Madhumita Panda; Bhabani Shankar Prasad Mishra; Satchidananda Dehuri (CVIP (2), 2016)

Radial basis function neural networks: a topical state-of-the-artsurvey. - Ch. Sanjeev Kumar Dash; Ajit Kumar Behera; Satchidananda Dehuri; Sung-Bae Cho (Open Comput. Sci., 2016)

On the mining of fuzzy association rule using multi-objective genetic algorithms. - Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh; Sung-Bae Cho (Int. J. Data Min. Model. Manag., 2016)

Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database. - Ch. Sanjeev Kumar Dash; Amitav Saran; Pulak Sahoo; Satchidananda Dehuri; Sung-Bae Cho (Pattern Recognit. Lett., 2016)

Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem. - Sagar S. De; Satchidananda Dehuri; Sung-Bae Cho (ICIT, 2017)

Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. - Parimal Kumar Giri; Sagar S. De; Satchidananda Dehuri; Sung-Bae Cho (ICIT, 2017)

An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure. - Sandeep Kumar Satapathy; Alok Kumar Jagadev; Satchidananda Dehuri (Informatica (Slovenia), 2017)

Multimodal biometrie recognition using human ear and profile face. - Partha Pratim Sarangi; Bhabani Shankar Prasad Mishra; Satchidananda Dehuri (RAIT, 2018)

A review and empirical analysis of neural networks based exchange rate prediction. - Trilok Nath Pandey; Alok Kumar Jagadev; Satchidananda Dehuri; Sung-Bae Cho (Intell. Decis. Technol., 2018)

Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification. - Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh; Sung-Bae Cho (Int. J. Fuzzy Syst., 2018)

SMOTE and ABC optimised RBF network for coping with imbalanced class in EEG signal classification. - Sandeep Kumar Satapathy; Satchidananda Dehuri; Alok Kumar Jagadev (Int. J. Medical Eng. Informatics, 2018)

An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. - Ch. Sanjeev Kumar Dash; Ajit Kumar Behera; Sarat Chandra Nayak; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Artif. Intell. Tools, 2019)

Adaptive improved binary PSO-based learnable Bayesian classifier for dimensionality reduced microarray data. - Sahu Barnali; Satchidananda Dehuri; Alok Kumar Jagadev (Int. J. Medical Eng. Informatics, 2019)

Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition. - Partha Pratim Sarangi; Bhabani Shankar Prasad Mishra; Satchidananda Dehuri (Multim. Tools Appl., 2019)

Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis. - Bhabani Shankar Prasad Mishra; Om Pandey; Satchidananda Dehuri; Sung-Bae Cho (IEEE Access, 2020)

An evaluation of ear biometric system based on enhanced Jaya algorithm and SURF descriptors. - Partha Pratim Sarangi; Bhabani Shankar Prasad Mishra; Satchidananda Dehuri; Sung-Bae Cho (Evol. Intell., 2020)

Multiclass classification of EEG signal for epilepsy detection using DWT based SVD and fuzzy kNN classifier. - Nalini Singh; Satchidananda Dehuri (Intell. Decis. Technol., 2020)

Ant Miner: A Hybrid Michigan Style Classification Rule Mining Algorithm. - Bijaya Kumar Nanda; Satchidananda Dehuri (Int. J. Appl. Evol. Comput., 2020)

Ant Miner: A Hybrid Pittsburgh Style Classification Rule Mining Algorithm. - Bijaya Kumar Nanda; Satchidananda Dehuri (Int. J. Artif. Intell. Mach. Learn., 2020)

Usage of ensemble model and genetic algorithm in pipeline for feature selection from cancer microarray data. - Sahu Barnali; Satchidananda Dehuri; Alok Kumar Jagadev (Int. J. Bioinform. Res. Appl., 2020)

Research contributions published on betweenness centrality algorithm: modelling to analysis in the context of social networking. - Sagar S. De; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Soc. Netw. Min., 2020)

DecisionTree for Classification and Regression: A State-of-the Art Review. - Monalisa Jena; Satchidananda Dehuri (Informatica (Slovenia), 2020)

Multi-Objective Artificial Bee Colony Algorithms and Chaotic-TOPSIS Method for Solving Flowshop Scheduling Problem and Decision Making. - Monalisa Panda; Satchidananda Dehuri; Alok Kumar Jagadev (Informatica (Slovenia), 2020)

A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis. - Trilok Nath Pandey; Alok Kumar Jagadev; Satchidananda Dehuri; Sung-Bae Cho (J. King Saud Univ. Comput. Inf. Sci., 2020)

Real Time Heart Beat Monitoring with LABVIEW. - Nalini Singh; Satchidananda Dehuri; Dhananjaya Tripathy; Amiya Bhusana Sahoo (OCIT, 2021)

A state-of-the-art neuro-swarm approach for prediction of software reliability. - Ajit Kumar Behera; Ch. Sanjeev Kumar Dash; Mrutyunjaya Panda; Satchidananda Dehuri; Rajib Mall (Int. J. Adv. Intell. Paradigms, 2021)

Biogeography based optimization for mining rules to assess credit risk. - Parimal Kumar Giri; Sagar S. De; Satchidananda Dehuri; Sung-Bae Cho (Intell. Syst. Account. Finance Manag., 2021)

Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm. - Parimal Kumar Giri; Sagar S. De; Satchidananda Dehuri (J. King Saud Univ. Comput. Inf. Sci., 2021)

Software reliability prediction by recurrent artificial chemical link network. - Ajit Kumar Behera; Mrutyunjaya Panda; Satchidananda Dehuri (Int. J. Syst. Assur. Eng. Manag., 2021)

Radial Basis Neural Networks for Class Discovery. - Ajit Kumar Behera; Jasaswi Prasad Mohanty; Ch. Sanjeev Kumar Dash; Satchidananda Dehuri (OCIT, 2022)

Estimation of Air Quality Index of Brajarajnagar and Talcher Industrial Region of Odisha State: A Higher Order Neural Network Approach. - Ch. Sanjeev Kumar Dash; Ajit Kumar Behera; Sarat Chandra Nayak; Satchidananda Dehuri; Jasaswi Prasad Mohanty (OCIT, 2022)

Hybrid Regression Tree. - Monalisa Jena; Asit Patra; Bijaya Kumar Sahoo; Satchidananda Dehuri (OCIT, 2022)

ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy. - Sarat Chandra Nayak; Satchidananda Dehuri; Sung-Bae Cho (OCIT, 2022)

An Integrated Novel Framework for Coping Missing Values Imputation and Classification. - Monalisa Jena; Satchidananda Dehuri (IEEE Access, 2022)

Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model. - Sarat Chandra Nayak; Satchidananda Dehuri; Sung-Bae Cho (IEEE Access, 2022)

Fitness inheritance in multi-objective genetic algorithms: a case study on fuzzy classification rule mining. - Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh (Int. J. Adv. Intell. Paradigms, 2022)

Prediction of exchange rate using improved particle swarm optimised radial basis function networks. - Trilok Nath Pandey; Alok Kumar Jagadev; Satchidananda Dehuri; Sung-Bae Cho (Int. J. Adv. Intell. Paradigms, 2022)

Genetically Optimized UFLANN for Uncovering Clusters. - Himanshu Dutta; Saurabh Bilgaiyan; Bhabani Shankar Prasad Mishra; Satchidananda Dehuri; Ashish Ghosh (IEEE Access, 2023)

An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting. - Sarat Chandra Nayak; Subhranginee Das; Satchidananda Dehuri; Sung-Bae Cho (IEEE Access, 2023)

Multi-objective artificial bee colony algorithm in redundancy allocation problem. - Monalisa Panda; Satchidananda Dehuri; Alok Kumar Jagadev (Int. J. Adv. Intell. Paradigms, 2023)

An artificial electric field algorithm-based neuro-fuzzy predictor for estimation of compressive strength of concrete structures: A machine learning approach. - Ch. Sanjeev Kumar Dash; Sarat Chandra Nayak; Ajit Kumar Behera; Satchidananda Dehuri (Informatica (Slovenia), 2023)

A recurrent ANFIS tuned by modified differential evolution for efficient prediction of software reliability. - Ajit Kumar Behera; Mrutyunjaya Panda; Satchidananda Dehuri (Evol. Intell., 2024)

Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data. - Sarat Chandra Nayak; Satchidananda Dehuri; Sung-Bae Cho (SN Comput. Sci., 2024)

Computational intelligence for estimating software development effort: a systematic mapping study. - Tirimula Rao Benala; Anupama Kaushik; Satchidananda Dehuri; Lakhmi C. Jain (Iran J. Comput. Sci., 2024)

DT-GA-FLANN: Decision Tree-Based Genetically Optimized FLANN for Missing Value Imputation and Classification. - Monalisa Jena; Satchidananda Dehuri; Sung-Bae Cho (IEEE Access, 2025)

Analysis of machine learning approaches for predictive modeling in heart disease detection systems. - Akshaya Kumar Mandal; Satchidananda Dehuri; Pankaj Kumar Deva Sarma (Biomed. Signal Process. Control., 2025)

Recognizing the best set of key actors for collaborative performance from large social networks. - Parimal Kumar Giri; Sagar S. De; Satchidananda Dehuri; Saroj Kumar Meher (Expert Syst. Appl., 2025)

Optimizing classifier performance using PCA-FLANN: a fast and reliable approach. - Monalisa Jena; Ranjan Kumar Behera; Satchidananda Dehuri; Sung-Bae Cho (Iran J. Comput. Sci., 2025)