Best Papers of SEMISH 2021

Foreword

It is with great pleasure that we present this collection of articles from the Journal of the Brazilian Computer Society, which features selected articles from SEMISH 2021 - Integrated Seminar on Software and Hardware. This selection of articles reflects the diversity of topics discussed at the event, including areas such as artificial intelligence, the internet of things, high-performance computing, and health informatics, among others.

The selected articles presented innovative and relevant research in their areas of interest. The work by Jiménez et al. presents an evaluation of search strategies in knowledge bases, while Haertel et al. explore the concept of the Internet of Social Things in the care of blind people. Dalmoro et al. discuss the classification of the popularity of videos on Facebook, and Mendonça-Neto et al. elaborate a study on the classification of subtypes of breast cancer.

Furthermore, Pereira et al. present an approach for detecting anomalies in videos based on shallow and deep neural networks, while Zahn et al. investigate sentiments in Brazilian and German blogs. Araújo et al. present a work on the migration of video services in moving edge computing networks, and Navaux et al. highlight challenges in high-performance computing.

We thank the authors for sharing their research, and we hope this special issue inspires new ideas and groundbreaking research in computing. We also thank the reviewers who accept in the process of evaluating and improving the published articles. We wish you all a pleasant and enriching reading.

Guest Editors:

  • Altigran Soares da Silva, Federal University of Amazonas (UFAM), Brazil
  • Cesar Albenes Zeferino, University of Vale do Itajaí (Univali), Brazil
  • Eduardo Almeida, Federal University of Bahia (UFBA), Brazil

Articles

  • Araújo, F., F. Araújo, D. Alencar, S. Pinheiro, H. Oliveira, and D. Rosário. “Dynamic Video Service Migration in Flying Edge Computing Networks”. Journal of the Brazilian Computer Society, vol. 29, no. 1, Nov. 2023, pp. 63-72. DOI: 10.5753/jbcs.2023.2228.
  • Dalmoro, B. M., and S. R. Musse. "Using Visual Features and Early Views to Classify the Popularity of Facebook Videos". Journal of the Brazilian Computer Society, vol. 28, no. 1, Dec. 2022, pp. 52-58. DOI: 10.5753/jbcs.2022.2216.
  • Haertel, F., L. Camargo, J. Lopes, A. Pernas, F. Mota, J. Barbosa, and A. Yamin. "Helix Project: Exploring the Social Internet of Things (SIoT) in Care of Blind People". Journal of the Brazilian Computer Society, vol. 28, no. 1, Dec. 2022, pp. 26-37. DOI: 10.5753/jbcs.2022.2210.
  • Jiménez, J. G., L. A. P. Paes Leme, and M. A. Casanova. "CoEPinKB: Evaluating Path Search Strategies in Knowledge Bases". Journal of the Brazilian Computer Society, vol. 28, no. 1, Dec. 2022, pp. 13-25. DOI: 10.5753/jbcs.2022.2211.
  • Mendonca-Neto, R., J. Reis, L. Okimoto, D. Fenyö, C. Silva, F. Nakamura, and E. Nakamura. "Classification of Breast Cancer Subtypes: A Study Based on Representative Genes". Journal of the Brazilian Computer Society, vol. 28, no. 1, Dec. 2022, pp. 59-68. DOI: 10.5753/jbcs.2022.2209.
  • Navaux, P. O. A., A. F. Lorenzon, and M. da S. Serpa. “Challenges in High-Performance Computing”. Journal of the Brazilian Computer Society, vol. 29, no. 1, Aug. 2023, pp. 51-62. DOI: 10.5753/jbcs.2023.2219.
  • Pereira, S. S. L., and J. E. B. Maia. "Weakly Supervised Video Anomaly Detection Combining Deep Features With Shallow Neural Networks". Journal of the Brazilian Computer Society, vol. 28, no. 1, Dec. 2022, pp. 69-79. DOI: 10.5753/jbcs.2022.2194.
  • Zahn, N. N., G. P. Dal Molin, and S. R. Musse. "Investigating Sentiments in Brazilian and German Blogs". Journal of the Brazilian Computer Society, vol. 28, no. 1, Dec. 2022, pp. 96-103. DOI: 10.5753/jbcs.2022.2214.