Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387495344> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4387495344 abstract "Forensic facial reconstruction is a fascinating blend of art, science, and technology that provides a powerful tool in the identification of unknown human remains when traditional identification techniques, such as dental records or DNA analysis, fail. This comprehensive guide delves into the various methods of facial reconstruction, their applications, history, and challenges, drawing from a broad spectrum of literature on the topic. Tracing its origins back to antiquity, the development of facial reconstruction techniques has been a continuous process of advancement and refinement. The article navigates from traditional clay modelling methods to the more modern computerized techniques, highlighting the evolution of this discipline. In our digital age, the advent of Artificial Intelligence (AI) has revolutionized the field, providing unprecedented precision and reducing human error. However, despite these technological leaps, the technique is not without its challenges and limitations. the paper critically examines these aspects, providing a balanced view of the current state of the art. Furthermore, the article delves into the legal implications of forensic facial reconstruction, discussing the admissibility and weight of evidence obtained through this method in court proceedings. It also forecasts future prospects of this technique, contemplating the potential advancements and their impact on forensic pathology. In a nutshell, this guide aims to provide an in-depth understanding of forensic facial reconstruction, exploring its past, critically analyzing its present, and speculating its future, serving as a comprehensive resource for anyone interested in the fascinating field of forensic facial reconstruction." @default.
- W4387495344 created "2023-10-11" @default.
- W4387495344 creator A5062911648 @default.
- W4387495344 creator A5076105974 @default.
- W4387495344 date "2023-10-01" @default.
- W4387495344 modified "2023-10-12" @default.
- W4387495344 title "From antiquity to the age of artificial intelligence: progress, hurdles, and future opportunities in forensic facial reconstruction" @default.
- W4387495344 cites W1914745693 @default.
- W4387495344 cites W2001642990 @default.
- W4387495344 cites W2004258671 @default.
- W4387495344 cites W2005874390 @default.
- W4387495344 cites W2008324476 @default.
- W4387495344 cites W2013023453 @default.
- W4387495344 cites W2055204597 @default.
- W4387495344 cites W2057025141 @default.
- W4387495344 cites W2078919288 @default.
- W4387495344 cites W2113643534 @default.
- W4387495344 cites W2114708262 @default.
- W4387495344 cites W2125248986 @default.
- W4387495344 cites W2136809961 @default.
- W4387495344 cites W2164146395 @default.
- W4387495344 cites W2171317422 @default.
- W4387495344 cites W2484319326 @default.
- W4387495344 cites W2553404579 @default.
- W4387495344 cites W2806549317 @default.
- W4387495344 cites W2888211650 @default.
- W4387495344 cites W3004635496 @default.
- W4387495344 cites W3026823982 @default.
- W4387495344 cites W3138237326 @default.
- W4387495344 cites W3209073624 @default.
- W4387495344 cites W4200443180 @default.
- W4387495344 cites W4211047281 @default.
- W4387495344 cites W4249726470 @default.
- W4387495344 cites W4290466021 @default.
- W4387495344 cites W4320006212 @default.
- W4387495344 cites W4324135279 @default.
- W4387495344 doi "https://doi.org/10.23736/s2784-8922.23.01851-4" @default.
- W4387495344 hasPublicationYear "2023" @default.
- W4387495344 type Work @default.
- W4387495344 citedByCount "0" @default.
- W4387495344 crossrefType "journal-article" @default.
- W4387495344 hasAuthorship W4387495344A5062911648 @default.
- W4387495344 hasAuthorship W4387495344A5076105974 @default.
- W4387495344 hasConcept C106159729 @default.
- W4387495344 hasConcept C111919701 @default.
- W4387495344 hasConcept C116834253 @default.
- W4387495344 hasConcept C144024400 @default.
- W4387495344 hasConcept C154945302 @default.
- W4387495344 hasConcept C162324750 @default.
- W4387495344 hasConcept C202444582 @default.
- W4387495344 hasConcept C206345919 @default.
- W4387495344 hasConcept C2522767166 @default.
- W4387495344 hasConcept C2777705401 @default.
- W4387495344 hasConcept C2779304628 @default.
- W4387495344 hasConcept C31258907 @default.
- W4387495344 hasConcept C33923547 @default.
- W4387495344 hasConcept C36289849 @default.
- W4387495344 hasConcept C41008148 @default.
- W4387495344 hasConcept C59822182 @default.
- W4387495344 hasConcept C86803240 @default.
- W4387495344 hasConcept C9652623 @default.
- W4387495344 hasConcept C98045186 @default.
- W4387495344 hasConceptScore W4387495344C106159729 @default.
- W4387495344 hasConceptScore W4387495344C111919701 @default.
- W4387495344 hasConceptScore W4387495344C116834253 @default.
- W4387495344 hasConceptScore W4387495344C144024400 @default.
- W4387495344 hasConceptScore W4387495344C154945302 @default.
- W4387495344 hasConceptScore W4387495344C162324750 @default.
- W4387495344 hasConceptScore W4387495344C202444582 @default.
- W4387495344 hasConceptScore W4387495344C206345919 @default.
- W4387495344 hasConceptScore W4387495344C2522767166 @default.
- W4387495344 hasConceptScore W4387495344C2777705401 @default.
- W4387495344 hasConceptScore W4387495344C2779304628 @default.
- W4387495344 hasConceptScore W4387495344C31258907 @default.
- W4387495344 hasConceptScore W4387495344C33923547 @default.
- W4387495344 hasConceptScore W4387495344C36289849 @default.
- W4387495344 hasConceptScore W4387495344C41008148 @default.
- W4387495344 hasConceptScore W4387495344C59822182 @default.
- W4387495344 hasConceptScore W4387495344C86803240 @default.
- W4387495344 hasConceptScore W4387495344C9652623 @default.
- W4387495344 hasConceptScore W4387495344C98045186 @default.
- W4387495344 hasIssue "3" @default.
- W4387495344 hasLocation W43874953441 @default.
- W4387495344 hasOpenAccess W4387495344 @default.
- W4387495344 hasPrimaryLocation W43874953441 @default.
- W4387495344 hasRelatedWork W2347935405 @default.
- W4387495344 hasRelatedWork W2363281567 @default.
- W4387495344 hasRelatedWork W2371221548 @default.
- W4387495344 hasRelatedWork W2373297822 @default.
- W4387495344 hasRelatedWork W2381023742 @default.
- W4387495344 hasRelatedWork W2388543165 @default.
- W4387495344 hasRelatedWork W2492014775 @default.
- W4387495344 hasRelatedWork W2533958670 @default.
- W4387495344 hasRelatedWork W2741632929 @default.
- W4387495344 hasRelatedWork W2977999572 @default.
- W4387495344 hasVolume "143" @default.
- W4387495344 isParatext "false" @default.
- W4387495344 isRetracted "false" @default.
- W4387495344 workType "article" @default.