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2020 – today
- 2024
[j74]Ajit Kumar Behera
, Mrutyunjaya Panda, Satchidananda Dehuri:
A recurrent ANFIS tuned by modified differential evolution for efficient prediction of software reliability. Evol. Intell. 17(5): 3469-3482 (2024)- [j73]Tirimula Rao Benala, Anupama Kaushik, Satchidananda Dehuri, Lakhmi C. Jain:
Computational intelligence for estimating software development effort: a systematic mapping study. Iran J. Comput. Sci. 7(3): 607-630 (2024) - [j72]Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data. SN Comput. Sci. 5(5): 545 (2024) - 2023
- [j71]Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, Sung-Bae Cho:
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting. IEEE Access 11: 57693-57716 (2023) - [j70]Himanshu Dutta, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Ashish Ghosh:
Genetically Optimized UFLANN for Uncovering Clusters. IEEE Access 11: 95432-95442 (2023) - [j69]Monalisa Panda, Satchidananda Dehuri, Alok Kumar Jagadev:
Multi-objective artificial bee colony algorithm in redundancy allocation problem. Int. J. Adv. Intell. Paradigms 25(1/2): 24-50 (2023) - [j68]Ch. Sanjeev Kumar Dash, Sarat Chandra Nayak, Ajit Kumar Behera, Satchidananda Dehuri:
An artificial electric field algorithm-based neuro-fuzzy predictor for estimation of compressive strength of concrete structures: A machine learning approach. Informatica (Slovenia) 47(5) (2023) - 2022
- [j67]Monalisa Jena, Satchidananda Dehuri:
An Integrated Novel Framework for Coping Missing Values Imputation and Classification. IEEE Access 10: 69373-69387 (2022) - [j66]Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model. IEEE Access 10: 130921-130943 (2022) - [j65]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
Fitness inheritance in multi-objective genetic algorithms: a case study on fuzzy classification rule mining. Int. J. Adv. Intell. Paradigms 23(1/2): 89-112 (2022) - [j64]Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
Prediction of exchange rate using improved particle swarm optimised radial basis function networks. Int. J. Adv. Intell. Paradigms 23(3/4): 332-356 (2022) - [c33]Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy. OCIT 2022: 129-133 - [c32]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Jasaswi Prasad Mohanty:
Estimation of Air Quality Index of Brajarajnagar and Talcher Industrial Region of Odisha State: A Higher Order Neural Network Approach. OCIT 2022: 176-180 - [c31]Monalisa Jena, Asit Patra, Bijaya Kumar Sahoo, Satchidananda Dehuri:
Hybrid Regression Tree. OCIT 2022: 250-255 - [c30]Ajit Kumar Behera, Jasaswi Prasad Mohanty, Ch. Sanjeev Kumar Dash, Satchidananda Dehuri:
Radial Basis Neural Networks for Class Discovery. OCIT 2022: 330-334 - 2021
- [j63]Ajit Kumar Behera, Ch. Sanjeev Kumar Dash, Mrutyunjaya Panda, Satchidananda Dehuri, Rajib Mall:
A state-of-the-art neuro-swarm approach for prediction of software reliability. Int. J. Adv. Intell. Paradigms 20(3/4): 296-322 (2021) - [j62]Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Biogeography based optimization for mining rules to assess credit risk. Intell. Syst. Account. Finance Manag. 28(1): 35-51 (2021) - [j61]Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri:
Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm. J. King Saud Univ. Comput. Inf. Sci. 33(4): 453-467 (2021) - [j60]Ajit Kumar Behera, Mrutyunjaya Panda, Satchidananda Dehuri:
Software reliability prediction by recurrent artificial chemical link network. Int. J. Syst. Assur. Eng. Manag. 12(6): 1308-1321 (2021) - [c29]Nalini Singh, Satchidananda Dehuri, Dhananjaya Tripathy, Amiya Bhusana Sahoo:
Real Time Heart Beat Monitoring with LABVIEW. OCIT 2021: 10-13 - 2020
- [j59]Bhabani Shankar Prasad Mishra, Om Pandey, Satchidananda Dehuri, Sung-Bae Cho:
Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis. IEEE Access 8: 169215-169228 (2020) - [j58]Partha Pratim Sarangi, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Sung-Bae Cho:
An evaluation of ear biometric system based on enhanced Jaya algorithm and SURF descriptors. Evol. Intell. 13(3): 443-461 (2020) - [j57]Nalini Singh, Satchidananda Dehuri:
Multiclass classification of EEG signal for epilepsy detection using DWT based SVD and fuzzy kNN classifier. Intell. Decis. Technol. 14(2): 239-252 (2020) - [j56]Bijaya Kumar Nanda, Satchidananda Dehuri:
Ant Miner: A Hybrid Michigan Style Classification Rule Mining Algorithm. Int. J. Appl. Evol. Comput. 11(2): 47-64 (2020) - [j55]Bijaya Kumar Nanda, Satchidananda Dehuri:
Ant Miner: A Hybrid Pittsburgh Style Classification Rule Mining Algorithm. Int. J. Artif. Intell. Mach. Learn. 10(1): 45-59 (2020) - [j54]Sahu Barnali, Satchidananda Dehuri, Alok Kumar Jagadev:
Usage of ensemble model and genetic algorithm in pipeline for feature selection from cancer microarray data. Int. J. Bioinform. Res. Appl. 16(3): 217-244 (2020) - [j53]Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Research contributions published on betweenness centrality algorithm: modelling to analysis in the context of social networking. Int. J. Soc. Netw. Min. 3(1): 1-34 (2020) - [j52]Monalisa Panda, Satchidananda Dehuri, Alok Kumar Jagadev:
Multi-Objective Artificial Bee Colony Algorithms and Chaotic-TOPSIS Method for Solving Flowshop Scheduling Problem and Decision Making. Informatica (Slovenia) 44(2) (2020) - [j51]Monalisa Jena, Satchidananda Dehuri:
DecisionTree for Classification and Regression: A State-of-the Art Review. Informatica (Slovenia) 44(4) (2020) - [j50]Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis. J. King Saud Univ. Comput. Inf. Sci. 32(9): 987-999 (2020)
2010 – 2019
- 2019
- [j49]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. Int. J. Artif. Intell. Tools 28(3): 1950013:1-1950013:32 (2019) - [j48]Sahu Barnali, Satchidananda Dehuri, Alok Kumar Jagadev:
Adaptive improved binary PSO-based learnable Bayesian classifier for dimensionality reduced microarray data. Int. J. Medical Eng. Informatics 11(3): 265-285 (2019) - [j47]Partha Pratim Sarangi, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri:
Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition. Multim. Tools Appl. 78(8): 9595-9623 (2019) - 2018
- [j46]Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
A review and empirical analysis of neural networks based exchange rate prediction. Intell. Decis. Technol. 12(4): 423-439 (2018) - [j45]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification. Int. J. Fuzzy Syst. 20(6): 1938-1955 (2018) - [j44]Sandeep Kumar Satapathy, Satchidananda Dehuri, Alok Kumar Jagadev:
SMOTE and ABC optimised RBF network for coping with imbalanced class in EEG signal classification. Int. J. Medical Eng. Informatics 10(3): 215-234 (2018) - [c28]Partha Pratim Sarangi, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri:
Multimodal biometrie recognition using human ear and profile face. RAIT 2018: 1-6 - 2017
- [j43]Sandeep Kumar Satapathy, Alok Kumar Jagadev, Satchidananda Dehuri:
An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure. Informatica (Slovenia) 41(1) (2017) - [c27]Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem. ICIT 2017: 143-151 - [c26]Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. ICIT 2017: 152-158 - 2016
- [j42]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho:
Radial basis function neural networks: a topical state-of-the-artsurvey. Open Comput. Sci. 6(1) (2016) - [j41]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
On the mining of fuzzy association rule using multi-objective genetic algorithms. Int. J. Data Min. Model. Manag. 8(1): 1-31 (2016) - [j40]Ch. Sanjeev Kumar Dash, Amitav Saran, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database. Pattern Recognit. Lett. 80: 76-83 (2016) - [c25]Partha Pratim Sarangi, Madhumita Panda, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri:
An Automated Ear Localization Technique Based on Modified Hausdorff Distance. CVIP (2) 2016: 229-240 - 2015
- [j39]Shiming Qin, Satchidananda Dehuri, Gi-Nam Wang:
Interactive Genetic Algorithms for Optimal Assignment of Blocks into Workspaces of Shipbuilding Industry. Int. J. Appl. Evol. Comput. 6(1): 30-48 (2015) - [j38]Ch. Sanjeev Kumar Dash, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels. Int. J. Artif. Intell. Tools 24(4): 1550013:1-1550013:29 (2015) - [j37]Ch. Sanjeev Kumar Dash, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database. Int. J. Comput. Intell. Syst. 8(3): 539-552 (2015) - [j36]Bhabani Shankar Prasad Mishra, Eui-Whan Kim, Guck-Cheol Bang, Satchidananda Dehuri, Sung-Bae Cho:
Weapon target assignment problem: multi-objective formulation, optimisation using MOPSO and TOPSIS. Int. J. Intell. Def. Support Syst. 5(3): 226-252 (2015) - [j35]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection. Informatica (Slovenia) 39(2) (2015) - [p6]Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Sung-Bae Cho:
Swarm Intelligence in Multiple and Many Objectives Optimization: A Survey and Topical Study on EEG Signal Analysis. Multi-objective Swarm Intelligence 2015: 27-73 - [p5]Swagatika Devi, Alok Kumar Jagadev, Satchidananda Dehuri:
Comparison of Various Approaches in Multi-objective Particle Swarm Optimization (MOPSO): Empirical Study. Multi-objective Swarm Intelligence 2015: 75-103 - [e4]Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda:
Multi-objective Swarm Intelligence - Theoretical Advances and Applications. Studies in Computational Intelligence 592, Springer 2015, ISBN 978-3-662-46308-6 [contents] - 2014
- [j34]Sagarika Bakshi, Alok Kumar Jagadev, Satchidananda Dehuri, Gi-Nam Wang:
Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization. Appl. Soft Comput. 15: 21-29 (2014) - [j33]Shantipriya Parida, Satchidananda Dehuri:
Review of fMRI Data Analysis: A Special Focus on Classification. Int. J. E Health Medical Commun. 5(2): 1-26 (2014) - [j32]Partha Sarathi Mishra, Satchidananda Dehuri:
Potential Indicators Based Neural Networks for Cash Forecasting of an ATM. Int. J. Inf. Syst. Soc. Chang. 5(4): 41-57 (2014) - [j31]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
A comprehensive survey of multi-objective genetic and fuzzy approaches in rule mining problem of knowledge discovery in databases. Int. J. Inf. Technol. Commun. Convergence 3(1): 13-45 (2014) - [c24]Ajit Kumar Behera, Ch. Sanjeev Kumar Dash, Satchidananda Dehuri:
Classification of Web Logs Using Hybrid Functional Link Artificial Neural Networks. FICTA (1) 2014: 255-263 - [c23]Tirimula Rao Benala, Rajib Mall, Satchidananda Dehuri, Pala Swetha:
Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization. SEMCCO 2014: 223-238 - 2013
- [j30]Ch. Sanjeev Kumar Dash, Aditya Prakash Dash, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features. Eng. Appl. Artif. Intell. 26(10): 2315-2326 (2013) - [j29]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho:
Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification. Int. J. Appl. Evol. Comput. 4(1): 56-80 (2013) - [j28]Ch. Sanjeev Kumar Dash, Aditya Prakash Dash, Satchidananda Dehuri, Sung-Bae Cho:
Feature Selection for Designing a Novel Differential Evolution Trained Radial Basis Function Network for Classification. Int. J. Appl. Metaheuristic Comput. 4(1): 32-49 (2013) - [j27]Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Gi-Nam Wang:
A State-of-the-Art Review of Artificial Bee Colony in the Optimization of Single and Multiple Criteria. Int. J. Appl. Metaheuristic Comput. 4(4): 23-45 (2013) - [j26]Satya Ranjan Dash, Satchidananda Dehuri, Uma Kant Sahoo:
Interactions and Applications of Fuzzy, Rough, and Soft Set in Data Mining. Int. J. Fuzzy Syst. Appl. 3(3): 37-50 (2013) - [j25]Satya Ranjan Dash, Satchidananda Dehuri, Uma Kant Sahoo:
Scaled Fuzzy Graph for Cluster Analysis in DNA Sequence of Olfactory Receptors. Int. J. Heal. Inf. Syst. Informatics 8(1): 57-70 (2013) - [j24]Sagar S. De, Minati Mishra, Satchidananda Dehuri:
MVClustViz: A Novice Yet Simple Multivariate Cluster Visualization Technique for Centroid-based Clusters. Int. J. Syst. Dyn. Appl. 2(4): 19-32 (2013) - [j23]Arup Ghosh, Gi-Nam Wang, Satchidananda Dehuri:
An Ultra-fast Approach to Align Longer Short Reads onto Human Genome. Informatica (Slovenia) 37(4) (2013) - [j22]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
A Survey on Fuzzy Association Rule Mining. Int. J. Data Warehous. Min. 9(1): 1-27 (2013) - [j21]Satchidananda Dehuri, Ashish Ghosh:
Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification. WIREs Data Mining Knowl. Discov. 3(2): 83-108 (2013) - [c22]Lopamudra Pradhan, Gi-Nam Wang, Satchidananda Dehuri:
A sliding window based meta-majority of voting ensemble for credit risk assessment. ICACCI 2013: 2090-2094 - [c21]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Manoj Kumar Pandia, Satchidananda Dehuri:
Neural Networks Training Based on Differential Evolution in Radial Basis Function Networks for Classification of Web Logs. ICDCIT 2013: 183-194 - [c20]Tirimula Rao Benala, Rajib Mall, Satchidananda Dehuri:
Software Effort Estimation Using Functional Link Neural Networks Optimized by Improved Particle Swarm Optimization. SEMCCO (2) 2013: 205-213 - 2012
- [j20]Tirimula Rao Benala, Satchidananda Dehuri, Rajib Mall:
Functional Link Artificial Neural Networks for Software Cost Estimation. Int. J. Appl. Evol. Comput. 3(2): 62-82 (2012) - [j19]Satya Ranjan Dash, Satchidananda Dehuri, Uma Kant Sahoo:
Usage of Fuzzy, Rough, and Soft Set Approach in Association Rule Mining. Int. J. Artif. Life Res. 3(3): 64-77 (2012) - [j18]Satya Ranjan Dash, Susil Rayaguru, Satchidananda Dehuri, Sung-Bae Cho:
Lost Student Tracking in an Incomplete and Imprecise Information Environment Using Soft Computing Paradigm. Int. J. Artif. Life Res. 3(4): 32-48 (2012) - [j17]Satchidananda Dehuri, Sung-Bae Cho:
Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer. Int. J. Fuzzy Syst. Appl. 2(1): 54-70 (2012) - [j16]Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh:
An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification. J. Syst. Softw. 85(6): 1333-1345 (2012) - [j15]Tirimula Rao Benala, Satchidananda Dehuri, Rajib Mall:
Computational intelligence in software cost estimation: an emerging paradigm. ACM SIGSOFT Softw. Eng. Notes 37(3): 1-7 (2012) - [c19]Tirimula Rao Benala, Rajib Mall, Satchidananda Dehuri, V. L. Prasanthi:
Software Effort Prediction Using Fuzzy Clustering and Functional Link Artificial Neural Networks. SEMCCO 2012: 124-132 - [c18]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
Scalable Fuzzy Genetic Classifier Based on Fitness Approximation. SEMCCO 2012: 492-499 - [c17]Shantipriya Parida, Satchidananda Dehuri:
A Review of Hybrid Machine Learning Approaches in Cognitive Classification. SocProS 2012: 659-666 - [c16]Satya Ranjan Dash, Satchidananda Dehuri, Uma Kant Sahoo, Gi-Nam Wang:
On Clustering of DNA Sequence of Olfactory Receptors Using Scaled Fuzzy Graph Model. SocProS 2012: 875-884 - [p4]Mrutyunjaya Panda, Ajith Abraham, Satchidananda Dehuri, Manas Ranjan Patra:
Performance Evaluation of Social Network Using Data Mining Techniques. Computational Social Networks 2012: 25-49 - 2011
- [j14]Satchidananda Dehuri:
A Novel Learning Scheme for Chebyshev Functional Link Neural Networks. Adv. Artif. Neural Syst. 2011: 107498:1-107498:10 (2011) - [j13]Satchidananda Dehuri, Bijan Bihari Misra, Ashish Ghosh, Sung-Bae Cho:
A condensed polynomial neural network for classification using swarm intelligence. Appl. Soft Comput. 11(3): 3106-3113 (2011) - [j12]Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Rajib Mall, Ashish Ghosh:
Parallel Single and Multiple Objectives Genetic Algorithms: A Survey. Int. J. Appl. Evol. Comput. 2(2): 21-57 (2011) - [j11]Madhabananda Das, Rahul Roy, Satchidananda Dehuri, Sung-Bae Cho:
A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization. Int. J. Appl. Metaheuristic Comput. 2(2): 51-73 (2011) - [j10]Rahul Roy, Satchidananda Dehuri, Sung-Bae Cho:
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem. Int. J. Appl. Metaheuristic Comput. 2(4): 41-57 (2011) - [c15]Rahul Roy, Madhabananda Das, Satchidananda Dehuri:
A Combinatorial Multi-objective Particle Swarm Optimization Based Algorithm for Task Allocation in Distributed Computing Systems. ACC (4) 2011: 113-125 - [c14]Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Rahul Roy, Sung-Bae Cho:
A serial and parallel genetic based learning algorithm for Bayesian classifier to predict metabolic syndrome. Bangalore Compute Conf. 2011: 1 - [c13]Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho:
An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome. GECCO (Companion) 2011: 495-502 - [c12]Bhabani Shankar Prasad Mishra, A. K. Addy, Rahul Roy, Satchidananda Dehuri:
Parallel multi-objective genetic algorithms for associative classification rule mining. ICCCS 2011: 409-414 - [c11]Tirimula Rao Benala, Satchidananda Dehuri, G. S. Surya Vamsi Sirisetti, Aditya Pagadala:
Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement. SEMCCO (1) 2011: 35-42 - [c10]Tirimula Rao Benala, Satchidananda Dehuri, Suresh Chandra Satapathy, Ch. Sudha Raghavi:
Genetic Algorithm for Optimizing Neural Network Based Software Cost Estimation. SEMCCO (1) 2011: 233-239 - [p3]Satchidananda Dehuri, Sung-Bae Cho, Susmita Ghosh:
Swarm Intelligence and Neural Networks. Integration of Swarm Intelligence and Artificial Neural Network 2011: 1-22 - [p2]Madhabananda Das, Satchidananda Dehuri:
Some Studies on Particle Swarm Optimization for Single and Multi-Objective Problems. Integration of Swarm Intelligence and Artificial Neural Network 2011: 239-304 - [e3]Satchidananda Dehuri, Susmita Ghosh, Sung-Bae Cho:
Integration of Swarm Intelligence and Artificial Neural Network. Series in Machine Perception and Artificial Intelligence 78, WorldScientific 2011, ISBN 978-981-4280-14-3, pp. 1-352 [contents] - 2010
- [j9]Satchidananda Dehuri, Sung-Bae Cho:
Evolutionarily optimized features in functional link neural network for classification. Expert Syst. Appl. 37(6): 4379-4391 (2010) - [j8]Satchidananda Dehuri, Sung-Bae Cho:
A comprehensive survey on functional link neural networks and an adaptive PSO-BP learning for CFLNN. Neural Comput. Appl. 19(2): 187-205 (2010) - [j7]Satchidananda Dehuri, Sung-Bae Cho:
A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets. Neural Comput. Appl. 19(2): 317-328 (2010) - [c9]B. Tirumala Rao, Satchidananda Dehuri, M. Dileep, A. Vindhya:
Swarm Intelligence for Optimizing Hybridized Smoothing Filter in Image Edge Enhancement. SEMCCO 2010: 370-379
2000 – 2009
- 2009
- [j6]Satchidananda Dehuri, Sung-Bae Cho:
Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art. Comput. Sci. Rev. 3(1): 19-40 (2009) - [c8]Satchidananda Dehuri, Bijaya Kumar Nanda, Sung-Bae Cho:
A Hybrid APSO-aided Learnable Bayesian Classifier. IICAI 2009: 695-706 - [c7]Swagatika Devi, Alok Kumar Jagadev, Satchidananda Dehuri, Rajib Mall:
A Fresh Particle Swarm Optimizations: A Position Paper. NaBIC 2009: 1243-1246 - [e2]Chee Peng Lim, Lakhmi C. Jain, Satchidananda Dehuri:
Innovations in Swarm Intelligence. Studies in Computational Intelligence 248, Springer 2009, ISBN 978-3-642-04224-9 [contents] - 2008
- [j5]Satchidananda Dehuri, Srikanta Patnaik, Ashish Ghosh, Rajib Mall:
Application of elitist multi-objective genetic algorithm for classification rule generation. Appl. Soft Comput. 8(1): 477-487 (2008) - [j4]Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
Particle Swarm Optimised polynomial neural network for classification: a multi-objective view. Int. J. Intell. Def. Support Syst. 1(3): 225-253 (2008) - [j3]Bijan Bihari Misra, Satchidananda Dehuri, Pradipta K. Dash, Ganapati Panda:
A reduced and comprehensible polynomial neural network for classification. Pattern Recognit. Lett. 29(12): 1705-1712 (2008) - [c6]Bijan Bihari Misra, Satchidananda Dehuri, Pradipta K. Dash, Ganapati Panda:
Reduced polynomial neural swarm net for classification task in data mining. IEEE Congress on Evolutionary Computation 2008: 2298-2306 - [c5]Satchidananda Dehuri, Sung-Bae Cho, Alok Kumar Jagadev:
Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem. ICIT 2008: 24-29 - [c4]Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho:
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining. ICONIP (1) 2008: 1121-1128 - [c3]Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho:
Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification. IDEAL 2008: 156-163 - [c2]Satchidananda Dehuri, Sung-Bae Cho:
A novel particle swarm optimization for multiple campaigns assignment problem. CSTST 2008: 317-324 - [p1]Satchidananda Dehuri, Susmita Ghosh, Ashish Ghosh:
Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 1-22 - [e1]Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh:
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Studies in Computational Intelligence 98, Springer 2008, ISBN 978-3-540-77466-2 [contents] - 2007
- [j2]Satchidananda Dehuri, Rajib Mall:
Parallel Processing of OLAP Queries Using a Cluster of Workstations. Int. J. Inf. Technol. Decis. Mak. 6(2): 279-299 (2007) - 2006
- [j1]Satchidananda Dehuri, Rajib Mall:
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm. Knowl. Based Syst. 19(6): 413-421 (2006) - [c1]Satchidananda Dehuri, Ashish Ghosh, Rajib Mall:
Particles with Age for Data Clustering. ICIT 2006: 221-224
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-07 21:28 CET by the dblp team
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