Select Publications
Book Chapters
2024, 'Bayesian network based on cross bow-tie to analyze differential effects of internal and external risks on sustainable supply chain', in Paul S; Kautish S (ed.), Computational Intelligence Techniques for Sustainable Supply Chain Management, Academic Press, Elsevier, pp. 331 - 382, http://dx.doi.org/10.1016/B978-0-443-18464-2.00005-4
,2024, 'Predictive big data analytics for supply chain demand forecasting', in Paul SK; Kautish S (ed.), COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR SUSTAINABLE SUPPLY CHAIN MANAGEMENT, Academic Press, Elsevier, pp. 301 - 330, http://dx.doi.org/10.1016/B978-0-443-18464-2.00011-X
,2024, 'Chapter eleven Predictive big data analytics for supply chain demand forecasting', in Computational Intelligence Techniques for Sustainable Supply Chain Management, Elsevier, pp. 301 - 330, http://dx.doi.org/10.1016/b978-0-443-18464-2.00011-x
,2024, 'Chapter twelve Bayesian network based on cross bow-tie to analyze differential effects of internal and external risks on sustainable supply chain', in Computational Intelligence Techniques for Sustainable Supply Chain Management, Elsevier, pp. 331 - 381, http://dx.doi.org/10.1016/b978-0-443-18464-2.00005-4
,2023, 'Surrogate-assisted Genetic Algorithm for Multi-project Scheduling', in , pp. 87 - 97, http://dx.doi.org/10.1007/978-3-031-19958-5_9
,2022, 'COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods', in Lecture Notes on Data Engineering and Communications Technologies, pp. 1 - 11, http://dx.doi.org/10.1007/978-981-19-2948-9_1
,2018, 'A Comparative Study of Different Integer Linear Programming Approaches for Resource-Constrained Project Scheduling Problems', in Data and Decision Sciences in Action, Lecture Notes in Management and Industrial Engineering, Springer, Cham, pp. 227 - 242, http://dx.doi.org/10.1007/978-3-319-55914-8_17
,2017, 'Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach', in Intelligent and Evolutionary Systems, Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6
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