Possibilities of Using Neural Networks in the Investigation of Crimes
Bibliographic Data
| ID | 18949260 |
|---|---|
| Authors | Kirill V Kostomarov (The Russian Presidential Academy of National Economy and Public Administration, corresponding author) |
| Year | 2019 |
| Pages | 2023-2030 |
| Publication date | 2019-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Siberian Federal University Humanities & Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 1997-1370 • E-ISSN: 2313-6014 |
| Publisher | Siberian Federal University (PUBLISHER • RU) |
| DOI | 10.17516/1997-1370-0509 |
| OpenAlex | W2994012019 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
The study tested possibilities of using neural networks on the example of different models like, online analytical processing, data mining and knowledge discovery, specific models in the sphere of biology, models which can be used with biometric identification, face recognition systems, ECG recognition models and others. The main point of the study is technical development of scientists in the fields of specific sciences. The final results of the studied technical solutions, if they used correctly, can improve the quality of any investigation. Detailed analysis and comparison of different neural models reveal the strengths and weaknesses of each of them, as well as the their limitations. As a result, the study concludes relevance and perspective of various approaches for different kind of crime investigation
Artificial neural network · Biometrics · Data science · Machine learning · Strengths and weaknesses · Computer Science · Digital and Cyber Forensics · Mathematics · Psychology · Artificial Intelligence
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |