Decision Insights for Shipbreaking using Environmental Impact Assessment: Review and Perspectives. - Joshin John; Rajiv Kumar Srivastava (Int. J. Strateg. Decis. Sci., 2018)

Antecedents of implementation success in closed-loop supply chain: an empirical investigation. - Manjot Singh Bhatia; Rajiv Kumar Srivastava (Int. J. Prod. Res., 2019)

Assessing value of customer involvement in engineered-to-order shipbuilding projects using fuzzy set and rough set theories. - Vijaya Dixit; Atanu Chaudhuri; Rajiv Kumar Srivastava (Int. J. Prod. Res., 2019)

Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure. - Alexander Münzberg; Christian Troost; Daniel Martini; Francisco Mendoza 004; Rajiv Kumar Srivastava; Thomas Berger; Liv Seuring; Nils Reinosch; Thilo Streck; Ansgar Bernardi (AAAI Spring Symposium: MAKE, 2022)

Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatensätze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze. - Alexander Münzberg; Christian Troost; Nils Reinosch; Daniel Martini; Liv Seuring; Alexander Niehus; Rajiv Kumar Srivastava; Thilo Streck; Thomas Berger; Ansgar Bernardi (GI-Jahrestagung, 2023)

SIMLEARN - Ontologiegestützte Integration von Simulationsmodellen, Systemen für maschinelles Lernen und Planungsdaten. - Nils Reinosch; Alexander Münzberg; Daniel Martini; Alexander Niehus; Liv Seuring; Christian Troost; Rajiv Kumar Srivastava; Thomas Berger; Thilo Streck; Ansgar Bernardi (GIL Jahrestagung, 2023)

Integrated commercial and operations planning model for schedule design, aircraft rotation and crew scheduling in airlines. - Ankur Garg; Yogesh Agarwal; Rajiv Kumar Srivastava; Suresh Kumar Jakhar (Networks, 2024)