Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters

Buyrukoglu S., Yilmaz Y., Topalcengiz Z.

ENVIRONMENTAL MONITORING AND ASSESSMENT, cilt.194, sa.5, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 194 Sayı: 5
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s10661-022-10050-7
  • Dergi Adı: ENVIRONMENTAL MONITORING AND ASSESSMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Food Science & Technology Abstracts, Geobase, Greenfile, MEDLINE, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Correlation value, Support vector machine, Random forest, Deep neural network, Salmonella, IRRIGATION WATER, SPP., COLI
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet