Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2024; 25th International C Vicente Julian,David Camacho,Antonio Tallón-Balles C

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LeakG3PD: A Python Generator and Simulated Water Distribution System Dataset of water and sanitation for all”. To manage consumption water, it’s surely fundamental to be able to measure, diagnose and control the whole path from it’s origin in natural reservoirs till the end customers, requiring a net of sensors along the Water Distribution System (WDS). Such a network of se

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Providing Informative Feedback in a Low-Cost Rehabilitation System Using Machine Learningin technology and the use of artificial intelligence have facilitated the development of tools to aid in rehabilitation processes, there is a lack of low-cost solutions that patients, without requiring advanced care, can use at home. In this work, we propose a low-cost intelligent system for lower l

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Noise Tolerance and Robustness Ranking in Machine Learning Modelse models maintain high performance despite these imperfections is crucial for practical applications, such as medical diagnosis or autonomous driving. This paper introduces a novel framework to systematically analyse the robustness of Machine Learning models against noisy data. We propose two empiri

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Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple TravellP). Inefficiencies in this area have a significant negative impact on productivity and operational efficiency, leading to increased fuel consumption and higher monetary costs. Given the critical role dry ports play in the global multimodal supply chain, these inefficiencies are particularly concerni

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Sustainable Demand-Responsive Transportation: A Case Study in Rural Guimarãesas. Departing from the Guimabus transportation system, which operates in Guimarães, Portugal, this research proposes a demand-responsive service that complements its peripheral areas with the aim of reducing private vehicle dependence, achieving more sustainable overall transportation. A case study

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CLARA: Semi-automatic Retraining Systemns due to differences in data distribution. This paper introduces CLARA, a semi-automatic framework designed to continually retrain computer vision models by incorporating expert annotation of new data. The system was tested in a production environment with a waste image classification model and sho

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A Grid-Based Approach for Ambulance Dispatch in Critical Emergencies Within Static Systems. Traditional strategies often focus on dispatching the nearest available ambulance for critical life risk emergencies (type-1). This paper introduces a novel dispatching strategy specifically designed for this type of emergencies, considering static conditions without ambulance reallocation to emer

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Optimizing Vehicle Coordination at Multi-lane Intersections Using Traffic Control Algorithmshese strategies involve the implementation of advanced technologies, including intelligent traffic lights, wireless (V2X) communication systems, visual recognition systems, and algorithms. In this research, we introduce the implementation of a distributed algorithm tailored for managing highly compl