Predictive Modeling of Post-Blast TNT Residue Recovery Using Semi-Quantitative LC–MS/MS Data and Machine Learning
JOURNAL OF FORENSIC SCIENCES, sa.2, ss.1-16, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1111/1556-4029.70511
- Dergi Adı: JOURNAL OF FORENSIC SCIENCES
- Derginin Tarandığı İndeksler: Academic Search Ultimate (EBSCO), Social Science Premium Collection (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Criminology Collection (ProQuest), Health Research Premium Collection (ProQuest), Scopus, Materials Science & Engineering Collection (ProQuest), Sociology Source Ultimate (EBSCO), Technology Collection (ProQuest), Science Citation Index Expanded (SCI-EXPANDED), Periodicals Index Online, BIOSIS, Criminal Justice Abstracts, EMBASE, MEDLINE, DIALNET, Criminal Justice Periodical Index, Zoological Record
- Sayfa Sayıları: ss.1-16
- Ankara Üniversitesi Adresli: Evet