Search Results - "Pijush Samui"

Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem.

Authors: Sonmez, Yusuf Duman, Serhat Kahraman, Hamdi T. et al.

Source: Journal of Experimental & Theoretical Artificial Intelligence; Jul2024, Vol. 36 Issue 5, p745-784, 40p

Intersectional Vulnerabilities of the Sama Badjao in the Face of Climate Change and Disasters.

Authors: Gonzaga, Gretchen (AUTHOR) ggonzaga@uni-bonn.de

Source: SOJOURN: Journal of Social Issues in Southeast Asia. Mar2026, Vol. 41 Issue 1, p74-109. 36p.

Prediction and interpretation of liquefaction occurrences using explainable machine learning models.

Authors: Kumar, Kishan Samui, Pijush Choudhary, S. S.

Source: Sādhanā: Academy Proceedings in Engineering Sciences. Mar2026, Vol. 51 Issue 1, p1-19. 19p.

Machine learning approach for optimizing pesticide degradation in wastewater using a hybrid approach with ozone treatment and biological degradation.

Authors: Khurshid, Saba Kumar, Saurabh Kumar, Divesh Ranjan et al.

Source: Green Technologies & Sustainability. Jan2026, Vol. 4 Issue 1, p1-21. 21p.

New combined DT-CWT and HOG descriptor for static and dynamic hand gesture recognition.

Authors: Agab, Salah Eddine Chelali, Fatma Zohra

Source: Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 17, p26379-26409, 31p

A Generalized Limit Equilibrium-Based Platform Incorporating Simplified Bishop, Janbu and Morgenstern–Price Methods for Soil Slope Stability Problems.

Authors: Alok, Aman Burman, Avijit Samui, Pijush et al.

Source: Advances in Civil Engineering; 5/28/2024, Vol. 2024, p1-16, 16p

Insider employee-led cyber fraud (IECF) in Indian banks: from identification to sustainable mitigation planning.

Authors: Roy, Neha Chhabra Prabhakaran, Sreeleakha

Source: Behaviour & Information Technology; Apr2024, Vol. 43 Issue 5, p876-906, 31p

Application of novel deep neural network on prediction of compressive strength of fly ash based concrete.

Authors: Biswas, Rahul Kumar, Manish Kumar, Divesh Ranjan et al.

Source: Nondestructive Testing & Evaluation. Oct2025, Vol. 40 Issue 10, p4638-4668. 31p.

A New Integrated Approach Based on the Iterative Super-Resolution Algorithm and Expectation Maximization for Face Hallucination.

Authors: Lakshminarayanan, K. Krishnan, R. Santhana Julie, E. Golden et al.

Source: Applied Sciences (2076-3417); 1/15/2020, Vol. 10 Issue 2, p718, 22p

Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes.

Authors: Kumar, Divesh Ranjan Samui, Pijush Wipulanusat, Warit et al.

Source: Buildings (2075-5309); Jun2023, Vol. 13 Issue 6, p1371, 21p

MAIN DIRECTIONS OF APPLICATION OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE: A REVIEW.

Alternate Title: PRINCIPALELE DIRECȚII DE APLICARE A INTELIGENȚEI ARTIFICIALE ÎN AGRICULTURĂ: O RECENZIE.

Authors: GHERES, Marius Ioan MARIASIU, Florin CSATO, Aron et al.

Source: INMATEH - Agricultural Engineering. 2025, Vol. 77 Issue 3, p629-646. 18p.

A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index.

Authors: Bardhan, Abidhan Kardani, Navid Alzo'ubi, Abdel Kareem et al.

Source: Archives of Computational Methods in Engineering; Nov2022, Vol. 29 Issue 7, p4735-4773, 39p

Effect of pore water pressure on slope stability in a heavy-haul railway embankment using a deep learning approach.

Authors: Sabri, Md Shayan Ahmad, Furquan Samui, Pijush et al.

Source: Journal of Earth System Science. Jun2025, Vol. 134 Issue 2, p1-24. 24p.

Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review.

Authors: Kumar, Rakesh Rai, Baboo Samui, Pijush

Source: Structural Concrete. Apr2025, Vol. 26 Issue 2, p1309-1337. 29p.

Development of Open-Assistant Environment for Integrated Operation of 3D Bridge Model and Engineering Document Information.

Authors: Park, Sang I. Kim, Bong-Geun Goh, Wonhui et al.

Source: Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 5, p2510, 18p

A parametric study of ground vibration induced by quarry blasting: an application of group method of data handling.

Authors: Zeng, Jie Mohammed, Ahmed Salih Mirzaei, Fatemeh et al.

Source: Environmental Earth Sciences; Feb2022, Vol. 81 Issue 4, p1-15, 15p, 4 Diagrams, 8 Charts, 7 Graphs

Correction of Experimental Thermal Analysis Data and Kinetic Computations Using Isoconversional state Diagrams.

Authors: Tao, Qi Krivec, Thomas

Source: Macromolecular Theory & Simulations. Mar2025, Vol. 34 Issue 2, p1-13. 13p.

Machine learning approach for evaluating soil liquefaction probability based on reliability method.

Authors: Khatoon, Sophia Kumar, Kishan Samui, Pijush et al.

Source: Natural Hazards. Feb2025, Vol. 121 Issue 3, p3313-3342. 30p.

Makine öğrenme yöntemleriyle nehir akım tahmininde farklı tekniklerinin karşılaştırılması.

Alternate Title: Comparison of different machine learning techniques in river flow prediction.

Authors: Akbulut, Uğur Çifçi, Mehmet Akif İşler, Buket et al.

Source: Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2025, Vol. 40 Issue 1, p467-485. 19p.

Probabilistic Design of Retaining Wall Using Machine Learning Methods.

Authors: Mishra, Pratishtha Samui, Pijush Mahmoudi, Elham

Source: Applied Sciences (2076-3417); Jun2021, Vol. 11 Issue 12, p5411, 14p