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Publications

Publications by HumanISE

2020

Exploring the Organizational and Technological Implications on Strategic Business Model Change

Authors
Roque, J; Santos, JD; Simões, J; Almeida, F;

Publication
Dynamic Strategic Thinking for Improved Competitiveness and Performance - Advances in Business Strategy and Competitive Advantage

Abstract
The purpose of this chapter is to identify and analyze the main organizational and technological factors that play a relevant role in a transformational strategic change inherent in changing the business model supported on the internet. An analysis was made of the different business models, as well as their connection to strategic management and how this is accomplished in the organizational and technological plan. This empirical study, based on the qualitative methodology, focuses on a single case study on a Portuguese company that recently changed its business model. The findings allowed the authors to assess the advantages and challenges posed by the transformation of an initial business based on a website that performs a comparison of prices for an integrated model based on a marketplace, in which customers can make their purchases and access all products, from different stores, in one place.

2020

Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, SoCPaR 2018, Porto, Portugal, December 13-15, 2018

Authors
Madureira, AM; Abraham, A; Gandhi, N; Silva, C; Antunes, M;

Publication
SoCPaR

Abstract

2020

Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)

Authors
Madureira, AM; Abraham, A; Gandhi, N; Silva, C; Antunes, M;

Publication
Advances in Intelligent Systems and Computing

Abstract

2020

Hybrid Intelligent Systems

Authors
Madureira, AM; Abraham, A; Gandhi, N; Varela, ML;

Publication
Advances in Intelligent Systems and Computing

Abstract

2020

Towards a decision support system for the automatic detection of Asian hornets and removal planning

Authors
Braga, D; Madureira, A;

Publication
International Journal of Computer Information Systems and Industrial Management Applications

Abstract
The rapid expansion of Asian hornets poses a high threat for the honey bee survival, as these invaders pray on them. Furthermore, they also pose a threat to people who are allergic, whose sting can lead to death. This study proposes a Decision Support System that uses Computer Vision techniques to automatically detect signs of Vespa velutina through images from GPS equipped camera. The goal of the system is to provide timely information about the presence of these invaders, allowing park managers and beekeepers to act quickly in removing the Vespidae. The proposed methodology obtained an 85% accuracy in the detection of V. velutina using the Mask RCNN architecture, enabling the system to perform detection at 3 FPS. © 2020 MIR Labs.

2020

Preface

Authors
Madureira A.M.; Abraham A.; Silva C.; Antunes M.; Castillo O.; Ludwig S.;

Publication
Advances in Intelligent Systems and Computing

Abstract

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