Handbook of Neural Computation

Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings. Dr. Sanjiban Sekhar Roy (Member, IEEE) is a distinguished academic and researcher, currently serving as a Professor in the School of Computer Science and Engineering at Vellore Institute of Technology (VIT). He earned his Ph.D. in 2016 from VIT, and from 2019 to 2020, he served as an Associate Researcher at Ton Duc Thang University, Vietnam. With an extensive academic career, Dr. Roy has published over 80 peer-reviewed articles in renowned international journals and conferences, making significant contributions to the fields of deep learning, advanced machine learning, and artificial intelligence. He has authored and co-authored several books published by Elsevier and CRC Press. In addition to these, he has edited 10 books with prestigious international publishers, demonstrating his expertise in computer science and technology. Dr. Roy holds two patents and is an active member of various doctoral committees, providing valuable guidance to Ph.D. scholars. He has mentored numerous postgraduate and undergraduate students, helping them navigate their research projects and academic pursuits. Beyond his research and teaching, Dr. Sanjiban Sekhar Roy has served as an editorial member for several highly respected journals and has edited special issues for prominent publications in his field. His research and academic contributions have been recognized globally, earning him the prestigious “Diploma of Excellence” Award for academic research from the Ministry of National Education, Romania, in 2019. Dr. Roy’s work continues to push the boundaries of artificial intelligence, particularly in deep learning and machine learning. His contributions to the academic community and his leadership in research have made a lasting impact on the advancement of these transformative technologies.Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, at Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research spans intelligent systems, computational intelligence, applied informatics, and engineering applications. Dr. Balas serves as Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and is a member of the editorial boards of several international journals. She is actively involved in the evaluation of national and international research projects and doctoral theses, and contributes to scholarly initiatives that support the advancement of intelligent and computational systems research.

• 1. Gravitational Search Algorithm With Chaos 2. Textures and Rough Sets3. Hydrological time series forecasting using three different heuristic regression techniques4. A reflection on image classifications for forest ecology management: Towards landscape mapping and monitoring5. An Intelligent Hybridization of ABC and LM Algorithms with Constraint Engineering Applications6. Network Intrusion Detection Model based on Fuzzy-Rough Classifiers7. Efficient System Reliability Analysis of Earth Slopes Based on Support Vector Machine Regression Models8.  Predicting Short-Term Congested Traffic Flow on Urban Motorway Networks9. Object Categorization Using Adaptive Graph-based Semi-supervised Learning10. Hemodynamic Model Inversion by Iterative Extended Kalman Smoother11. Improved Sparse Approximation Models for Stochastic Computations12. Symbol Detection in Multiple Antenna Wireless Systems via Ant Colony Optimization13. Application of particle swarm optimization to solve robotic assembly line balancing problems14. The cuckoo optimization algorithm and its applications15. Hybrid Intelligent Model Based on Least Squared Support Vector Regression and Artificial Bee Colony Optimization for Time Series Modeling and Forecasting Horizontal Displacement of Hydropower Dam16. Modelling the axial capacity of bored piles using multi-objective feature selection, functional network and multivariate adaptive regression spline17. Transient stability constrained optimal power flow using chaotic whale optimization algorithm18. Slope Stability Evaluation Using Radial Basis Function Neural Network, Least Squares Support Vector Machines, and Extreme Learning Machine19. Alternating Decision Trees20. Scene Understanding Using Deep Learning21. Deep Learning for Coral Classification22. A Deep Learning Framework for Classifying Mysticete Sounds23. Unsupervised deep learning for data-driven reliability and risk analysis of engineered systems24. Applying Machine Learning Algorithms in Landslide Susceptibility Assessments25. MDHS-LPNN: A hybrid FOREX predictor model using a Legendre polynomial Neural Network with a Modified Differential Harmony Search technique26. A Neural Model of Attention and Feedback for Computing Perceived Brightness in Vision27. Support Vector Machine: Principles, Parameters and Applications28. Evolving Radial Basis Function Networks using Moth-Flame Optimizer29. Application of Fuzzy Methods in Power system Problems30. Application of Particle Swarm Optimization Algorithm in Power system Problems31. Optimum Design of Composite Steel-Concrete Floors Based on a Hybrid Genetic Algorithm32. A Comparative Study of Image Segmentation Algorithms and Descriptors for Building Detection33. Object-Oriented Random Forest for High Resolution Land Cover Mapping Using Quickbird-2 Imagery