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View article: Towards General Urban Monitoring with Vision-Language Models: A Review, Evaluation, and a Research Agenda
Towards General Urban Monitoring with Vision-Language Models: A Review, Evaluation, and a Research Agenda Open
Urban monitoring of public infrastructure (such as waste bins, road signs, vegetation, sidewalks, and construction sites) poses significant challenges due to the diversity of objects, environments, and contextual conditions involved. Curre…
View article: Edge-Enabled Predictive Maintenance with Autoencoders: A Real-Time Approach
Edge-Enabled Predictive Maintenance with Autoencoders: A Real-Time Approach Open
Predictive maintenance (PdM) in Industry 4.0 (I4.0) increasingly relies on machine learning (ML) techniques to minimize unplanned downtime and enhance operational efficiency. While cloud-based ML solutions offer scalability and strong pred…
View article: Reducing the vehicle routing problem complexity by mapping and sequencing clusters of high-density deliveries in urban regions
Reducing the vehicle routing problem complexity by mapping and sequencing clusters of high-density deliveries in urban regions Open
In urban logistics, a massive number of parcels need to be delivered on a daily basis to individual customer's doors. This is known as last-mile delivery, and logistics companies commonly use Vehicle Routing Problem (VRP) solutions to crea…
View article: Multimodal object detection: an architecture using feature-level fusion and deep learning
Multimodal object detection: an architecture using feature-level fusion and deep learning Open
Object detection is one of the most fundamental problems to tackle in the computer vision research area. Recent advances in multimodal data streams and deep learning architectures have prompted a fast growth in the field of multimodal lear…
View article: Incdualpathnet : a hybrid architecture proposal for predicting energy production in a wastewater treatment plants
Incdualpathnet : a hybrid architecture proposal for predicting energy production in a wastewater treatment plants Open
In recent years, we have seen a growing need for energy, which has had environmental consequences through the use of fossil fuels. Some of the sectors of our society make intensive use of energy, as is the case with wastewater treatment pl…
View article: Exploring the potential of online social listening for noncommunicable disease monitoring
Exploring the potential of online social listening for noncommunicable disease monitoring Open
Noncommunicable diseases (NCDs) are a significant global health challenge, claiming about 41 million lives annually. Early establishment of healthy habits is vital as childhood behaviors often persist into adulthood, affecting long-term we…
View article: The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances
The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances Open
Artificial Intelligence (AI) is revolutionizing emergency medicine by enhancing diagnostic processes and improving patient outcomes. This article provides a review of the current applications of AI in emergency imaging studies, focusing on…
View article: Efficient MLOps: Meta-learning Meets Frugal AI
Efficient MLOps: Meta-learning Meets Frugal AI Open
The advent of large Machine Learning models and the steep increase in the demand for AI solutions occurs at the same point in time in which policies are being enacted to implement more sustainable processes in virtually every sector. This …
View article: Bus Ridership Prediction and Scenario Analysis through ML and Multi-Agent Simulations
Bus Ridership Prediction and Scenario Analysis through ML and Multi-Agent Simulations Open
This paper introduces an innovative approach to predicting bus ridership andanalysing transportation scenarios through a fusion of machine learning (ML) techniques and multi-agent simulations. Utilising a comprehensive dataset from an urba…
View article: Test-Driven Development Tool for IoT Systems
Test-Driven Development Tool for IoT Systems Open
TDDT4IoTS is a comprehensive tool designed to streamline the development of IoT systems by integrating both device design and software application development within a test-driven framework. Its test-driven development approach enhances th…
View article: Are heterogeinity and conflicting preferences no longer a problem? Personality-based dynamic clustering for group recommender systems
Are heterogeinity and conflicting preferences no longer a problem? Personality-based dynamic clustering for group recommender systems Open
The complexity associated with groups of tourists led to the emergence of Group Recommender Systems (GRS) for tourism. But if generating recommendations for small groups is a complex task, to provide them to large and occasional groups is …
View article: Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction Open
One of the key issues regarding classification problems in Trustworthy Artificial Intelligence is ensuring Fairness in the prediction of different classes when protected (sensitive) features are present. Data quality is critical in these c…
View article: Strategic and Multidisciplinary Analysis of Increasing Airport Capacity in the Lisbon Region
Strategic and Multidisciplinary Analysis of Increasing Airport Capacity in the Lisbon Region Open
The selection for the location of complex infrastructures, such as airports, constitutes a challenging decision-making process due to its potential socioeconomic impacts alongside other complex factors that impact the decision process. Wit…
View article: Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction
Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction Open
Purpose This study proposes a machine learning framework to predict customer complaints from production line tests in an automotive company's lot-release process, enhancing Quality 4.0. It aims to design and implement the framework, compar…
View article: Integrating AI into VET: Insights from AIM@VET’s First Training Activity
Integrating AI into VET: Insights from AIM@VET’s First Training Activity Open
This work presents the objectives, methodologies, and preliminary outcomes of the first training activity (TA1) within the AIM@VET project, an EU initiative aimed at integrating artificial intelligence (AI) into vocational education and tr…
View article: "You Want to Play a Game?" Detecting Personality Traits with Mobile Minigames
"You Want to Play a Game?" Detecting Personality Traits with Mobile Minigames Open
The use of personality to improve recommendations is a growing trend in recommender systems. However, to accurately determine someone’s personality is complex, such as the need for long personality questionnaires which are subject to socia…
View article: Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities
Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities Open
To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we …
View article: Emotional and Mental Nuances and Technological Approaches: Optimising Fact-Check Dissemination through Cognitive Reinforcement Technique
Emotional and Mental Nuances and Technological Approaches: Optimising Fact-Check Dissemination through Cognitive Reinforcement Technique Open
The issue of the dissemination of fake news has been widely addressed in the literature, but the issue of the dissemination of fact checks to debunk fake news has not received sufficient attention. Fake news is tailored to reach a wide aud…
View article: Exploring Features to Classify Occupational Accidents in the Retail Sector
Exploring Features to Classify Occupational Accidents in the Retail Sector Open
The Machine Learning approach is used in several application domains, and its exploitation in predicting accidents in occupational safety is relatively recent. The present study aims to apply different Machine Learning algorithms for class…
View article: The Relevance of Deepfakes in the Administration of Criminal Justice
The Relevance of Deepfakes in the Administration of Criminal Justice Open
Nowadays, it is challenging to distinguish between genuine content created by humans or deepfake created by deepfakes algorithms. Therefore, it is in the interests of society and nations to have systems that can notice and evaluate the con…
View article: Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants Open
The exponential growth of technology in recent decades has led to the emergence of some challenges inherent to this growth. One of these challenges is the enormous amount of data collected by the different sensors in our society, namely in…
View article: Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends Open
Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, e…