Uzbekistan Towards Industry 4.0. Defining the Gaps Between Current Manufacturing Systems and Industry 4.0. - Ikrom Kambarov; Gianluca D'Antonio; Khurshid Aliev; Paolo Chiabert; Jamshid Inoyatkhodjaev (PLM, 2018)

Internet of Things Applications and Artificial Neural Networks in Smart Agriculture. - Khurshid Aliev (2018)

A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System. - Khurshid Aliev; Sanam Narejo; Eros Pasero; Jamshid Inoyatkhodjaev (Multidisciplinary Approaches to Neural Computing, 2018)

Practical Implementation of Industry 4.0 Based on Open Access Tools and Technologies. - Ahmed Awouda; Khurshid Aliev; Paolo Chiabert; Dario Antonelli (PLM, 2019)

Key Performance Indicators Integrating Collaborative and Mobile Robots in the Factory Networks. - Khurshid Aliev; Dario Antonelli; Ahmed Awouda; Paolo Chiabert (PRO-VE, 2019)

Analyses and Study of Human Operator Monotonous Tasks in Small Enterprises in the Era of Industry 4.0. - Paolo Chiabert; Khurshid Aliev (PLM, 2020)

Management of Laser-Cut Sheet-Metal Part Using Collaborative Robots. - Paolo Chiabert; Khurshid Aliev (PLM (1), 2021)

Building system diagnostics through a network of smart local sensors. - Khurshid Aliev; Dario Antonelli; Giulia Bruno; Paolo Piantanida; Valentina Villa (SEEDA-CECNSM, 2021)

User Experience and Physiological Response in Human-Robot Collaboration: A Preliminary Investigation. - Riccardo Gervasi; Khurshid Aliev; Luca Mastrogiacomo; Fiorenzo Franceschini (J. Intell. Robotic Syst., 2022)

Investigation on Additive Manufacturing Processes Performed by Collaborative Robot. - Khurshid Aliev; Mansur Asranov; Tianhao Liu; Paolo Chiabert (PLM (2), 2023)

A Digital Twin Framework for Industry 4.0/5.0 Technologies. - Mansur Asranov; Khurshid Aliev; Paolo Chiabert; Jamshid Inoyatkhodjaev (PLM (1), 2023)

Using Adversarial Reinforcement Learning to Improve the Resilience of Human-Robot Collaboration in Industrial Assembly. - Dario Antonelli; Khurshid Aliev (PRO-VE, 2023)

Exploring the limitations and potential of digital twins for mobile manipulators in industry. - Dario Antonelli; Khurshid Aliev; Marco Soriano; Kousay Samir; Fabio Marco Monetti; Antonio Maffei (ISM, 2023)

Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics. - Marios Tyrovolas; Chrysostomos D. Stylios; Khurshid Aliev; Dario Antonelli (DoCEIS, 2024)

UR3 CobotOps. - Marios Tyrovolas; Khurshid Aliev; Dario Antonelli; Chrysostomos D. Stylios (UCI Machine Learning Repository, 2024)

Multicriteria task classification in human-robot collaborative assembly through fuzzy inference. - Alessandro Alessio; Khurshid Aliev; Dario Antonelli (J. Intell. Manuf., 2024)