This case-study proposes an optimization model that integrates predictive, scheduled, and daily maintenance tasks in manufacturing to assign technicians efficiently and minimize costs while maximizing task completion.
Author: Liza Mozgunova, Qualified Solicitor of England and Wales, LLM Facial Recognition Technology (FRT) has become pervasive in various applications, ranging from unlocking smartphones to law enforcement use. This article critically analyzes the ap...
The proposed technology integrates the Automated Guided Vehicle (AGV) with the Unified Planning Framework (UPF) through a Technology-Specific Bridge (TSB), enabling dynamic path planning and efficient obstacle navigation.
After obtaining new meteorological data, we try to improve the results of session 1. The objective is to build a model to forecast Montenegro Cross Zonal Capacity 48h in advance. In this session, we achieved a model with a R2 of 0.7167 and a MAE of 67.0...
Hotels in the Aegean islands and in particular in Sifnos need to share employees from a common a pool due to the high scarcity of employee resources. As a result they need to create staff plan that can accommodate the needs of more than one hotels within ...
A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in...
A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in...
A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in...
Enhancing Efficiency and Sustainability with Artificial Intelligence
To provide accurate measures of Cross Zonal Capacity, a key parameter is Net Position (the difference between generation and load of a zone). Here we describe our supervised model to predict net position for the next 48h that achieve an MAE of 75.8 and a...