Perception-based model for analyzing the impact of enterprise blockchain adoption on SCM in the Indian service industry. - Amit Karamchandani; Samir K. Srivastava; Rajiv K. Srivastava (Int. J. Inf. Manag., 2020)

Analysing perceived role of blockchain technology in SCM context for the manufacturing industry. - Amit Karamchandani; Samir K. Srivastava; Sushil Kumar; Akhil Srivastava (Int. J. Prod. Res., 2021)

B5GEMINI: Digital Twin Network for 5G and Beyond. - Alberto Mozo; Amit Karamchandani; Mario Sanz Rodrigo; José Ignacio Moreno; Antonio Pastor 001 (NOMS, 2022)

B5GEMINI: AI-Driven Network Digital Twin. - Alberto Mozo; Amit Karamchandani; Sandra Gómez Canaval; Mario Sanz Rodrigo; José Ignacio Moreno; Antonio Pastor 001 (Sensors, 2022)

ACROSS: Automated zero-touch cross-layer provisioning framework for 5G and beyond vertical services. - Dimitris Giannopoulos; George P. Katsikas; Kostis Trantzas; Dimitrios Klonidis; Christos Tranoris; Spyros G. Denazis; Lluis Gifre; Ricard Vilalta; Pol Alemany; Raul Muñoz 001; Anne-Marie Bosneag; Alberto Mozo; et al. (EuCNC/6G Summit, 2023)

A lower approximation based integrated decision analysis framework for a blockchain-based supply chain. - Amit Karamchandani; Samir K. Srivastava; Abha; Akhil Srivastava (Comput. Ind. Eng., 2023)

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. - Stanislav Vakaruk; Amit Karamchandani; Jesús Enrique Sierra-García; Alberto Mozo; Sandra Gómez Canaval; Antonio Pastor 001 (Sensors, 2023)

Using N-BEATS ensembles to predict automated guided vehicle deviation. - Amit Karamchandani; Alberto Mozo; Stanislav Vakaruk; Sandra Gómez Canaval; Jesús Enrique Sierra-García; Antonio Pastor 001 (Appl. Intell., 2023)

Framework for the development of a Network Digital Twin. - Ángela Burgaleta; Ignacio Dominguez Martinez-Casanueva; Amit Karamchandani; Diego R. López; Antonio Pastor 001 (NOMS, 2024)

Design of an AI-driven Network Digital Twin for advanced 5G-6G network management. - Amit Karamchandani; Mario Sanz Rodrigo; Ángela Burgaleta; Luis De La Cal; Alberto Mozo; José Ignacio Moreno; Antonio Pastor 001; Diego R. López (NOMS, 2024)

Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. - Silvia Martín-Suazo; Jesús Morón-López; Stanislav Vakaruk; Amit Karamchandani; Juan Antonio Pascual Aguilar; Alberto Mozo; Sandra Gómez Canaval; Meritxell Vinyals; Juan Manuel Ortiz (Knowl. Based Syst., 2024)

A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector. - Amit Karamchandani; Alberto Mozo; Sandra Gómez Canaval; Antonio Pastor 001 (Neural Comput. Appl., 2024)