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Leonardo Lucio Custode, Hyunho Mo, Andrea Ferigo and Giovanni Iacca
Remaining useful life (RUL) prediction is a key enabler for predictive maintenance. In fact, the possibility of accurately and reliably predicting the RUL of a system, based on a record of its monitoring data, can allow users to schedule maintenance inte...
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Piotr M. Marusak
A method for the advanced construction of the dynamic matrix for Model Predictive Control (MPC) algorithms with linearization is proposed in the paper. It extends numerically efficient fuzzy algorithms utilizing skillful linearization. The algorithms com...
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Thirupathi Samala, Vijaya Kumar Manupati, Maria Leonilde R. Varela and Goran Putnik
Research on flexible unit systems (FUS) with the context of descriptive, predictive, and prescriptive analysis have remarkably progressed in recent times, being now reinforced in the current Industry 4.0 era with the increased focus on integration of dis...
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Piotr M. Marusak
In Model Predictive Control (MPC) algorithms, control signals are generated after solving optimization problems. If the model used for prediction is linear then the optimization problem is a standard, easy to solve, quadratic programming problem with lin...
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Ann Nosseir,Yahia Fathy
Pág. pp. 4 - 18
Identifying students at risk or potentials excellent students is increasingly important for higher education institutions to meet the needs of the students and develop efficient learning strategy. Early stage prediction can give an indication of the stud...
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Guoxing Bai, Li Liu, Yu Meng, Weidong Luo, Qing Gu and Baoquan Ma
This work is used for unmanned mining vehicles or articulated mobile robots.
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Energy Management System (EMS) optimal strategies have shown great potential to match the fluctuating energy production from renewables with an electric demand profile, which opens the way to a deeper penetration of renewable energy sources (RES) into th...
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Edison Banguero, Antonio Correcher, Ángel Pérez-Navarro, Francisco Morant and Andrés Aristizabal
Energy storage has become a fundamental component in renewable energy systems, especially those including batteries. However, in charging and discharging processes, some of the parameters are not controlled by the battery’s user. That uncontrolled ...
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Arturs Kempelis, Inese Polaka, Andrejs Romanovs and Antons Patlins
Urban agriculture presents unique challenges, particularly in the context of microclimate monitoring, which is increasingly important in food production. This paper explores the application of convolutional neural networks (CNNs) to forecast key sensor m...
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Rómulo Antão, José Antunes, Alexandre Mota and Rui Escadas Martins
The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs). This work exploits recent trends on ANN literature using a Te...
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Terrence C. Lee, Neil U. Shah, Alyssa Haack and Sally L. Baxter
Predictive analytics using electronic health record (EHR) data have rapidly advanced over the last decade. While model performance metrics have improved considerably, best practices for implementing predictive models into clinical settings for point-of-c...
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Stavroula Tsitsifli and Vasilis Kanakoudis
Disinfection is a very significant water treatment process for drinking water safety, as it inactivates pathogens from drinking water. However, disinfection-by-products (DBPs) are formed which are accused of contributing to cancer and reproductive/develo...
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Md. Ataur Rahman Bhuiyan, Md. Rifat Ullah and Amit Kumar Das
Recently, the healthcare industry has caught the attention of researchers due to a need to develop a smart and interactive system for effective and efficient treatment facilities. The healthcare system consists of massive biological data (unstructured or...
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Saeid Esmaeili, Amjad Anvari-Moghaddam, Shahram Jadid and Josep M. Guerrero
Due to the recent developments in the practical implementation of remotely controlled switches (RCSs) in the smart distribution system infrastructure, distribution system operators face operational challenges in the hourly reconfigurable environment. Thi...
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Angelo Bonfitto, Luis Miguel Castellanos Molina, Andrea Tonoli and Nicola Amati
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Emanuele Ogliari, Francesco Grimaccia, Sonia Leva and Marco Mussetta
The accurate forecasting of energy production from renewable sources represents an important topic also looking at different national authorities that are starting to stimulate a greater responsibility towards plants using non-programmable renewables. In...
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Nikolaos T. Giannakopoulos, Marina C. Terzi, Damianos P. Sakas, Nikos Kanellos, Kanellos S. Toudas and Stavros P. Migkos
Agriculture firms face an array of struggles, most of which are financial; thus, the role of decision making is discerned as highly important. The agroeconomic indexes (AEIs) of Agriculture Employment Rate (AER), Chemical Product Price Index (CPPI), Farm...
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Fatemeh Jafari, S. Jamshid Mousavi and Kumaraswamy Ponnambalam
The model predictive control (MPC) approach can be implemented in either a reactive (RE-) or predictive (PR-) manner to control the operation of urban drainage systems (UDSs). Previous research focused mostly on the RE-MPC, as the PR-MPC, despite its pot...
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Stela Stoykova and Nikola Shakev
The aim of this paper is to present a systematic literature review of the existing research, published between 2006 and 2023, in the field of artificial intelligence for management information systems. Of the 3946 studies that were considered by the auth...
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Francisco José García-Peñalvo, Cristina Casado-Lumbreras, Ricardo Colomo-Palacios and Aman Yadav
Artificial intelligence applied to the educational field has a vast potential, especially after the effects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed to respond to the health situation we are living in. The tutori...
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