22 documents found, page 1 of 3
Enhancing recruitment with LLMs and chatbots
Novais, Liliana; Rocio, Vitor; Morais, A. JorgeTraditional approaches in the competitive recruitment landscape frequently encounter difficulties in effectively identifying exceptional applicants, resulting in delays, increased expenses, and biases. This study proposes the utilisation of contemporary technologies such as Large Language Models (LLMs) and chatbots to automate the process of resume screening, thereby diminishing prejudices and enhancing communi...
Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Models
Alves, Adília; Pereira, J.A.; Khanal, Salik; Morais, A. Jorge; Filipe, VitorModern agriculture faces important challenges for feeding a fast-growing planet’s population in a sustainable way. One of the most important challenges faced by agriculture is the increasing destruction caused by pests to important crops. It is very important to control and manage pests in order to reduce the losses they cause. However, pest detection and monitoring are very resources consuming tasks. The recen...
UAbALL - Automata Learning Lab
Oliveira, Rúdi Gualter de; Sousa, André Maciel da Silva e; Pinto, Mara; Viana, Nuno Almendra e; Morais, A. JorgeE-learning has been important in higher education, enabling people to continue their education with more flexibility. Virtual laboratories play a crucial role in Computer Science distance learning degrees, by enabling students to study at their rhythm and getting practical answers to practical problems immediately. Theoretical models such as finite automata, pushdown automata, context-free grammars, Turing mach...
Sistema de Classificação de Sinalética Gestual em competições de karaté
Violante, Sónia Correia; Filipe, Vítor; Morais, A. JorgeEm contexto de Kumite (combate de Karate) propõe-se investigar um modelo de classificação da sinalética gestual do árbitro para atribuição de pontos, com recurso a Visão Computacional e técnicas de Aprendizagem Profunda. Foram realizadas três abordagens, todas tendo como base o recurso a modelos de Redes Neuronais Convolucionais (Convolutional Neural Network – CNN): Classificação de imagens com recurso a uma CN...
An ontological model for fire evacuation route recommendation in buildings
Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António LeçaGuiding the occupants of a building to a safe place is an area of research that deserves the attention of researchers. Finding solutions for the problem of guiding the building occupants requires a perfect knowledge of the fire building evacuation domain. The use of ontologies to model the knowledge of a domain allows a common and shared understanding of that domain. This paper presents an ontology that has the...
X-Wines: a wine dataset for recommender systems and machine learning
Azambuja, Rogério Xavier de; Morais, A. Jorge; Filipe, VítorIn the current technological scenario of artificial intelligence growth, especially using machine learning, large datasets are necessary. Recommender systems appear with increasing frequency with different techniques for information filtering. Few large wine datasets are available for use with wine recommender systems. This work presents X-Wines, a new and consistent wine dataset containing 100,000 instances an...
Geometric and physical building representation and occupant’s movement models f...
Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António LeçaBuilding evacuation simulation allows for a better assessment of fire safety conditions in existing buildings, which is why it is of interest to develop an easy-to-use web platform that helps fire safety technicians in this assessment. To achieve this goal, the geometric and physical representation of the building and installed fire safety devices are necessary, as well as the modelling of occupant movement. Al...
Intelligent monitoring and management platform for the prevention of olive pest...
Alves, Adília; Morais, A. Jorge; Filipe, Vitor; Pereira, J.A.Climate change affects global temperature and precipitation patterns. These effects, in turn, influence the intensity and, in some cases, the frequency of extreme environmental events, such as forest fires, hurricanes, heat waves, floods, droughts, and storms. In general, these events can be particularly conducive to the appearance of plant pests and diseases. The availability of models and a data collection sy...
An ontology for fire building evacuation
Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António LeçaGuiding the building occupants under fire emergency to a safe place is an open research problem, and finding solutions to address the problem requires a perfect knowledge of the fire building evacuation domain. The use of ontologies to model knowledge of a domain allows a common and shared understanding of that domain, between people and heterogeneous systems. This paper presents an ontology that aims to build ...
Multi-agent-based recommender systems: a literature review
Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António LeçaConsidering the growing volume of information and services available on the Web, it has become essential to provide Web sites and applications with tools, such as recommender systems, capable of helping their users to obtain the information and services appropriate to their interests. Due to the complexity of Web adaptation and the ability of multi-agent systems to deal with complex problems, the multi-agent sy...