Image segmentation using convolutional neural networks in multi-sensor information fusion

Zhang, Wenying; Dong, Min; Jiang, Li

doi:10.1007/s00500-023-09271-w

Cited by 3 publications

(2 citation statements)

References 41 publications

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“…Specifically, questions related to computer ethics and morality issues were found to have a significant positive impact. This highlights the importance of education and awareness campaigns surrounding computer ethics to stimulate interest and participation in the field [5,6,42]. The findings demonstrate the dynamic evolution of computer ethics, emphasizing the shift from individualcentric perspectives to network ethics.…”

Section: Discussionmentioning

confidence: 71%

“…theory, and according to the specific problem different methods are chosen, commonly used are rule-based and class probability function-based methods [37]. The main system structures for information fusion based on D-S evidence inference are: time domain information fusion for single sensor with multiple measurement cycles, air domain information fusion for multiple sensors with single measurement cycles, and time and air domain information fusion for multiple sensors with multiple measurement cycles [42]. At present, computer ethics has not received enough attention and importance.…”

Section: Basic Framework Of D-s Evidence Theorymentioning

confidence: 99%

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From data inference to evidence fusion: A methodology for studying computer ethics at different levels

Piao,

Lin,

Song

et al. 2024

Comp Applic In Engineering

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The rapid development and widespread use of computer technology in today's society have brought significant benefits and convenience to individuals and organizations. The study presents a concept for constructing a research framework in the realm of computer ethics impact. This involves the introduction of an information fusion model and the utilization of a Dempster–Shafer (D–S) evidence theory algorithm. The information fusion model aims to integrate multiple sources of evidence related to computer ethics, including expert opinions, public attitudes, and legal regulations. Furthermore, the experimental results show that the platform's impact perception was effective in reducing the number of individuals who consider computer ethics unnecessary from 40% to 3%. This finding highlights the potential of this platform for enhancing public awareness and understanding of computer ethics. In conclusion, the proposed information fusion model and D–S evidence theory algorithm offer a valuable tool for conducting early research on the construction of computer ethics. It is of utmost importance to delve into the uncontrollable facets of building computer ethics and to navigate the subject–object dilemma from the standpoint of computer users. This approach is essential in addressing the ethical dilemmas that have arisen due to the rapid advancement of computer technology in today's world. The novelty lies in the research methodology used in this study, substantial public perception change, ethical risk reduction, and subject–object issue in computer ethics resolution all substantially contribute to the field's influence on people, organizations, and societies.

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Section: Discussionmentioning

confidence: 71%

Section: Basic Framework Of D-s Evidence Theorymentioning

confidence: 99%