Abstract:

The field of legal sciences is gaining new dimensions every day in light of technological developments. Fingerprint data is very important in the identification of the person and in the identification of the criminal identity. Fingerprint is a biometric data that is specific to a person. Because of this feature of fingerprint, it is commonly used in the lighting of court cases. Depending on the type of area where the fingerprint interacts, the fingerprint hand from the place of the event leads to difficulties in some cases. Imagination studies from areas where fingerprint is not possible to be taken are supported by technological advances in judicial sciences. The use of nanoparticles in fingerprint visualization studies is attracted. It is possible to visualize even hidden fingerprints through nanoparticles. Specifically, visualization with silica nanoparticles shows good results. On the other hand, the presence of artificial nerve networks is a huge technological development. It shows the correct results with the data provided by the artificial nervous networks that simulate the biological nervous system, i.e. the human brain. Artificial nerve networks are used in many areas. One of these fields of use is judicial science. In judicial sciences, the use of artificial nerve networks is included in judicial age studies. Legal age studies enable the solution of cases from the skeletal material. The DNA methylation analysis is included in the legal age forecasts. It is known that DNA methylation analyses show comparable results by supporting artificial nerve networks. Artificial nerve networks and fingerprint data systems facilitate the resolution of judicial cases. Technical work in both systems ensures us to good results.

Abstract:

The field of Forensic Science is gaining new dimensions in the light of technological developments every day. Fingerprint data is crucial in identifying the person and identifying the offender. A fingerprint is a biometric data that is unique to the individual. Because of this feature of the fingerprint, it is common to use it in the illumination of forensic cases. The elimination of fingerprints from the scene, depending on the type of area in which the fingerprint interacts, leads to difficulties in some cases. Visualization studies from areas where fingerprinting is not possible are supported by technological advances in Forensic Sciences. The use of nanoparticles in fingerprint visualization studies is notable. It is possible to visualize even hidden fingerprints through nanoparticles. Visualization with silica nanoparticles in particular reveals beautiful results. The presence of artificial neural networks in the other direction is a tremendous technological development. Artificial neural networks that mimic the biological nervous system, i.e. the human brain, produce accurate results with the data they provide. Artificial neural networks are used in many fields. One of these uses is Forensic Science. In Forensic Science, the use of artificial neural networks is particularly involved in forensic age studies. Forensic age studies enable the solution of cases from skeletal material. Specifically, DNA methylation analyses are observed in forensic age estimates. DNA methylation analyses are known to produce comparable results, supported by artificial neural networks. Artificial neural networks and the fingerprint data system facilitate the solution of forensic cases. Technologically based work in two systems enables us to achieve beautiful results.

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