A Novel FLANN with a Hybrid PSO and GA Based Gradient Descent Learning for Classification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (FICTA (1), 2014)

An efficient FLANN model with CRO-based gradient descent learning for classification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (Int. J. Bus. Inf. Syst., 2016)

A self adaptive harmony search based functional link higher order ANN for non-linear data classification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera; Ajith Abraham (Neurocomputing, 2016)

Hybrid Clustering using Elitist Teaching Learning-Based Optimization: An Improved Hybrid Approach of TLBO. - Debi Prasanna Kanungo; Janmenjoy Nayak; Bighnaraj Naik; Himansu Sekhar Behera (Int. J. Rough Sets Data Anal., 2016)

Perturbation Based Efficient Crow Search Optimized FLANN for System Identification: A Novel Approach. - Bighnaraj Naik; Debasmita Mishra; Janmenjoy Nayak; Danilo Pelusi; Ajith Abraham (HIS, 2017)

Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis. - Janmenjoy Nayak; Bighnaraj Naik; Himansu Sekhar Behera; Ajith Abraham (Expert Syst. Appl., 2017)

A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification. - Janmenjoy Nayak; Bighnaraj Naik (J. Classif., 2018)

Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters. - Danilo Pelusi; Raffaele Mascella; Luca G. Tallini; Janmenjoy Nayak; Bighnaraj Naik; Ajith Abraham (Expert Syst. Appl., 2018)

FLANN + BHO: A Novel Approach for Handling Nonlinearity in System Identification. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (Int. J. Rough Sets Data Anal., 2018)

A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data. - Bighnaraj Naik; Janmenjoy Nayak; Himansu Sekhar Behera (J. King Saud Univ. Comput. Inf. Sci., 2018)

Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis. - Janmenjoy Nayak; Bighnaraj Naik; Himansu Sekhar Behera; Ajith Abraham (Neural Comput. Appl., 2018)

A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification. - Himansu Das; Bighnaraj Naik; Himansu Sekhar Behera (Adv. Fuzzy Syst., 2020)

Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades. - P. Suresh Kumar; Himansu Sekhar Behera; Anisha Kumari K; Janmenjoy Nayak; Bighnaraj Naik (Comput. Sci. Rev., 2020)

Intelligent food processing: Journey from artificial neural network to deep learning. - Janmenjoy Nayak; Kanithi Vakula; Paidi Dinesh; Bighnaraj Naik; Danilo Pelusi (Comput. Sci. Rev., 2020)

Deep learning in electrical utility industry: A comprehensive review of a decade of research. - Manohar Mishra; Janmenjoy Nayak; Bighnaraj Naik; Ajith Abraham (Eng. Appl. Artif. Intell., 2020)

An Improved Moth-Flame Optimization algorithm with hybrid search phase. - Danilo Pelusi; Raffaele Mascella; Luca G. Tallini; Janmenjoy Nayak; Bighnaraj Naik; Yong Deng 001 (Knowl. Based Syst., 2020)

Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm. - Danilo Pelusi; Raffaele Mascella; Luca G. Tallini; Janmenjoy Nayak; Bighnaraj Naik; Yong Deng 001 (Knowl. Based Syst., 2020)

Special issue on "Soft computing techniques: applications and challenges" neural computing and applications. - Janmenjoy Nayak; G. T. Chandrasekhar; Bighnaraj Naik; Danilo Pelusi; Ajith Abraham (Neural Comput. Appl., 2020)

Model based IoT security framework using multiclass adaptive boosting with SMOTE. - Pandit Byomakesha Dash; Janmenjoy Nayak; Bighnaraj Naik; Etuari Oram; SK Hafizul Islam (Secur. Priv., 2020)

Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges. - Janmenjoy Nayak; Bighnaraj Naik; Paidi Dinesh; Kanithi Vakula; Pandit Byomakesha Dash (SN Comput. Sci., 2020)

Intelligent Secure Ecosystem Based on Metaheuristic and Functional Link Neural Network for Edge of Things. - Bighnaraj Naik; Mohammad S. Obaidat; Janmenjoy Nayak; Danilo Pelusi; Pandi Vijayakumar; SK Hafizul Islam (IEEE Trans. Ind. Informatics, 2020)

A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks. - Janmenjoy Nayak; Bighnaraj Naik; Danilo Pelusi; A. Vamsi Krishna (Nature-Inspired Computation in Data Mining and Machine Learning, 2020)

Intelligent system for COVID-19 prognosis: a state-of-the-art survey. - Janmenjoy Nayak; Bighnaraj Naik; Paidi Dinesh; Kanithi Vakula; B. Kameswara Rao; Weiping Ding 001; Danilo Pelusi (Appl. Intell., 2021)

Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition. - Janmenjoy Nayak; Bighnaraj Naik; Pandit Byomakesha Dash; Alireza Souri; Vimal Shanmuganathan (Appl. Soft Comput., 2021)

Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities. - Dukka Karun Kumar Reddy; Himansu Sekhar Behera; Janmenjoy Nayak; Pandi Vijayakumar; Bighnaraj Naik; Pradeep Kumar Singh 001 (Trans. Emerg. Telecommun. Technol., 2021)

Nature inspired optimization and its application to engineering. - Janmenjoy Nayak; Bighnaraj Naik; Asit Kumar Das; Danilo Pelusi (Evol. Intell., 2021)

Generation of overlapping clusters constructing suitable graph for crime report analysis. - Ankur Das; Janmenjoy Nayak; Bighnaraj Naik; Uttam Ghosh (Future Gener. Comput. Syst., 2021)

Optimal Fuzzy Cluster Partitioning by Crow Search Meta-Heuristic for Biomedical Data Analysis. - Janmenjoy Nayak; Bighnaraj Naik; Pandit Byomakesha Dash; Danilo Pelusi (Int. J. Appl. Metaheuristic Comput., 2021)

Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data. - Weiping Ding 001; Janmenjoy Nayak; H. Swapnarekha; Ajith Abraham; Bighnaraj Naik; Danilo Pelusi (Neurocomputing, 2021)

Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature. - P. Suresh Kumar; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik (Innov. Syst. Softw. Eng., 2021)

Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment. - Dukka Karun Kumar Reddy; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik; Uttam Ghosh; Pradip Kumar Sharma (J. Inf. Secur. Appl., 2021)

Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs. - Etuari Oram; Pandit Byomakesha Dash; Bighnaraj Naik; Janmenjoy Nayak; S. Vimal 001; Sathees Kumar Nataraj (Pattern Recognit. Lett., 2021)

Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India. - H. Swapnarekha; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik; P. Suresh Kumar (SN Comput. Sci., 2021)

Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment. - Weiping Ding 001; Janmenjoy Nayak; Bighnaraj Naik; Danilo Pelusi; Manohar Mishra (IEEE Trans. Ind. Informatics, 2021)

Socio-economic factor analysis for sustainable and smart precision agriculture: An ensemble learning approach. - Pandit Byomakesha Dash; Bighnaraj Naik; Janmenjoy Nayak; S. Vimal 001 (Comput. Commun., 2022)

An impact study of COVID-19 on six different industries: Automobile, energy and power, agriculture, education, travel and tourism and consumer electronics. - Janmenjoy Nayak; Manohar Mishra; Bighnaraj Naik; Hanumanthu Swapnarekha; Korhan Cengiz; Vimal Shanmuganathan (Expert Syst. J. Knowl. Eng., 2022)

Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic. - Bighnaraj Naik; Janmenjoy Nayak; Pandit Byomakesha Dash (Evol. Intell., 2022)

Correlation-based modified long short-term memory network approach for software defect prediction. - Suresh Kumar Pemmada; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik (Evol. Syst., 2022)

A pragmatic ensemble learning approach for effective software effort estimation. - P. Suresh Kumar; Himansu Sekhar Behera; Janmenjoy Nayak; Bighnaraj Naik (Innov. Syst. Softw. Eng., 2022)

A Jaya algorithm based wrapper method for optimal feature selection in supervised classification. - Himansu Das; Bighnaraj Naik; Himansu Sekhar Behera (J. King Saud Univ. Comput. Inf. Sci., 2022)

Biomedical data analysis using neuro-fuzzy model with post-feature reduction. - Himansu Das; Bighnaraj Naik; Himansu Sekhar Behera; Shalini Jaiswal; Priyanka Mahato; Minakhi Rout (J. King Saud Univ. Comput. Inf. Sci., 2022)

RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. - Bharat Kumar Padhi; Sujata Chakravarty; Bighnaraj Naik; Radha Mohan Pattanayak; Himansu Das (Sensors, 2022)

Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework. - Janmenjoy Nayak; Bighnaraj Naik; Pandit Byomakesha Dash; S. Vimal 001; Seifedine Kadry 001 (Sustain. Comput. Informatics Syst., 2022)

Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection. - Janmenjoy Nayak; Saroj K. Meher; Alireza Souri; Bighnaraj Naik; S. Vimal 001 (J. Supercomput., 2022)

Follower Link Prediction Using the XGBoost Classification Model with Multiple Graph Features. - Dayal Kumar Behera; Madhabananda Das; Subhra Swetanisha; Janmenjoy Nayak; S. Vimal 001; Bighnaraj Naik (Wirel. Pers. Commun., 2022)

Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network. - Debasmita Mishra; Bighnaraj Naik; Janmenjoy Nayak; Alireza Souri; Pandit Byomakesha Dash; S. Vimal 001 (Digit. Commun. Networks, 2023)

A deep intelligent framework for software risk prediction using improved firefly optimization. - Suresh Kumar Pemmada; Janmenjoy Nayak; Bighnaraj Naik (Neural Comput. Appl., 2023)