Data-driven methodology to support long-lasting logistics and decision making for urban last-mile operations

E Gutierrez-Franco, C Mejia-Argueta, L Rabelo - Sustainability, 2021 - mdpi.com
Last-mile operations in forward and reverse logistics are responsible for a large part of the
costs, emissions, and times in supply chains. These operations have increased due to the …

Lean techniques impact evaluation methodology based on a co-simulation framework for manufacturing systems

J Possik, A Zouggar-Amrani, B Vallespir… - … Journal of Computer …, 2022 - Taylor & Francis
Lean implementation plays a major role in optimizing productivity and reducing waste.
Applying the adequate integration of Lean Techniques (LT) can ensure a higher profitable …

Using delphi and system dynamics to study the cybersecurity of the IoT-based smart grids

L Rabelo, A Ballestas, J Valdez, B Ibrahim - ParadigmPlus, 2022 - journals.itiud.org
Abstract IoT-based Smart Grids (SGs) are important to modern society. SGs can improve the
profitability and reliability of the electric power system by incorporating renewable energies …

Preliminary studies of the security of the cyber-physical smart grids

L Rabelo, A Ballestas, B Ibrahim, J Valdez - Applied Informatics: Fourth …, 2021 - Springer
The electric power network is a cyber-physical system (CPS) that is important for modern
society. Smart Grids (SG) can improve the electric power system's profitability and reliability …

Big Data Analysis and Modeling Method of College Student Employment Management Based on Deep Learning Model

Y Yin - International Journal of Web-Based Learning and …, 2023 - igi-global.com
In order to study the big data of college students' employment, this paper takes the big data
of college students' employment as the premise, analyzes the current employment data by …

Simulating the digital production process of a hybrid big data consultancy agency in Kotlin

É Heijs - 2022 - essay.utwente.nl
The company Information Resources Incorporated (IRI), a big-data consultancy agency in
the fast-moving consumer goods sector, faces serious efficiency problems in their …

Brain Tumor Growth Modelling.

A Kamel - 2021 - thesis.univ-biskra.dz
Prediction methods of Glioblastoma tumors growth constitute a hard task due to the lack of
medical data, which is mostly related to the patients' privacy, the cost of collecting a large …