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Publications

Publications by HumanISE

2022

Intelligent Monitoring and Management Platform for the Prevention of Olive Pests and Diseases, Including IoT with Sensing, Georeferencing and Image Acquisition Capabilities Through Computer Vision

Authors
Alves A.; Jorge Morais A.; Filipe V.; Alberto Pereira J.;

Publication
Lecture Notes in Networks and Systems

Abstract
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 system is crucial to manage pests and diseases in sustainable agricultural ecosystems. Agricultural ecosystems are known to be complex, multivariable, and unpredictable. It is important to anticipate crop pests and diseases in order to improve its control in a more ecological and economical way (e.g., precision in the use of pesticides). The development of an intelligent monitoring and management platform for the prevention of pests and diseases in olive groves at Trás-os- Montes region will be very beneficial. This platform must: a) integrate data from multiple data sources such as sensory data (e.g., temperature), biological observations (e.g., insect counts), georeferenced data (e.g., altitude) or digital images (e.g., plant images); b) systematize these data into a regional repository; c) provide relevant forecasts for pest and diseases. Convolutional Neural Networks (CNNs) can be a valuable tool for the identification and classification of images acquired by Internet of Things (IoT).

2022

Do Multisensory Stimuli Benefit the Virtual Reality Experience? A Systematic Review

Authors
Melo, M; Gonçalves, G; Monteiro, P; Coelho, H; Raposo, JV; Bessa, M;

Publication
IEEE Trans. Vis. Comput. Graph.

Abstract

2022

E-GovSTP: An E-Government Model for a Small Island State, the Case of São Tomé and Principe

Authors
Vaz, DN; Sousa, B; Mamede, H;

Publication
Information Systems - Lecture Notes in Business Information Processing

Abstract

2022

Reliability Analysis Based Improved Directional Simulation Using Harris Hawks Optimization Algorithm for Engineering Systems

Authors
Jafari Asl, J; Ben Seghier, MEA; Ohadi, S; Correia, J; Barroso, J;

Publication
Engineering Failure Analysis

Abstract

2022

Multi-Agent-Based Recommender Systems: A Literature Review

Authors
Neto, J; Morais, AJ; Gonçalves, R; Coelho, AL;

Publication
Proceedings of Sixth International Congress on Information and Communication Technology - Lecture Notes in Networks and Systems

Abstract

2022

What is the relationship between the sense of presence and learning in virtual reality? A 24 years systematic literature review

Authors
Krassmann, AL; Melo, M; Pinto, D; Peixoto, B; Bessa, M; Bercht, M;

Publication
PRESENCE: Virtual and Augmented Reality

Abstract
Abstract The sense of presence is an important aspect of experiences in Virtual Reality (VR), an emerging technology in education. This construct specifically has been increasingly researched in parallel to learning purposes. However, there is not a consensus in the literature on the outcomes of this association. Aiming to outline a panorama in this regard, a systematic review was conducted, with a comprehensive analysis of 140 primary studies recovered from five worldwide databases. The analysis shows an overview of 24 years of areas, factors, and methodological approaches that seem to be more inclined to benefit from the sense of presence towards learning purposes. We contribute to the advancement of the state of art by providing an understanding of the relationship among these three variables, identifying how to benefit from the sense of presence to further leverage the use of VR for learning purposes.

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