{"refrec":{"BRefID":448069,"RR":"Applied Computing and Geosciences. Elsevier: Amsterdam.  ISSN 2590-1974","BEntID":445906,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". Elsevier: Amsterdam.  ISSN 2590-1974","DocTypID":16,"DocType":"Journal","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":null,"OrigTitleTranslFlag":0,"Authorstringtrunc":null,"Englishabstract":null,"AbstractOtherLang":null,"BibLvlCode":"S","StandardTitle":"Applied Computing and Geosciences","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-09-23 01:46:14.958135","timezone_type":1,"timezone":"+02:00"},"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":null,"MonPub":null,"DateUpdate":"2026-09-21","DateCreate":"2026-09-21","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":null,"VABBcode":null,"OpenAcc":0},"refs":null,"anarec":null,"monrec":null,"serrec":{"SerID":448069,"ISSN":"2590-1974","Abbreviation":"Appl. Comput. Geosci.","PublID":null,"City":"Amsterdam","InpCentreCode":null,"ASFACode":null,"AntilopeFlag":0,"PerioID":null,"CurrentFlag":1,"PeerRevFlag":1,"DigISSN":null,"InputCentre":null,"Periodicity":null,"FromYear":2019,"ToYear":null,"WoSFlag":1,"ISSNL":null,"EmbargoYears":null,"VABBFlag":0},"relations":null,"relationsRev":null,"addrec":null,"othpubs":null,"ownerships":null,"authors":null,"mapdetails":null,"datasets":null,"monographs":null,"monparts":null,"serparts":[{"BRefID":448095,"RR":"<b>Obelcz, J.; Hill, T.; Wallace, D.J.; Phrampus, B.J.; Graw, J.H.</b> (2023). A machine learning approach using legacy geophysical datasets to model Quaternary marine paleotopography. <i>Appl. Comput. Geosci. 19</i>: 100128. <a href=\"https://dx.doi.org/10.1016/j.acags.2023.100128\" target=\"_blank\">https://dx.doi.org/10.1016/j.acags.2023.100128</a>","StandardTitle":"A machine learning approach using legacy geophysical datasets to model Quaternary marine paleotopography","AuthorsString":"Obelcz, J. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":448070,"RR":"<b>Manomba-Mbadinga, N.; Niculescu, S.</b> (2026). Shoreline kinematics in Libreville (Gabon) derived from very high spatial resolution (VHR) imagery using machine and deep learning techniques. <i>Applied Computing and Geosciences 32</i>: 100407. <a href=\"https://dx.doi.org/10.1016/j.acags.2026.100407\" target=\"_blank\">https://dx.doi.org/10.1016/j.acags.2026.100407</a>","StandardTitle":"Shoreline kinematics in Libreville (Gabon) derived from very high spatial resolution (VHR) imagery using machine and deep learning techniques","AuthorsString":"Manomba-Mbadinga, N.; Niculescu, S.","BibLvlCode":"AS"}],"BEntOpen":null,"BEntPrivate":null,"availability":null,"litstyles":null,"thespers":null,"arch2discl":null,"SERpubls":null,"MONpubls":null,"pictures":[],"thestermsPath":null,"thestermsASFA":null,"taxtermsASFA":null,"geotermsASFA":null,"collections":null,"conf":null,"proj":null,"Physdatasets":null,"spcols":null,"doi":null,"publs":[{"PublID":483,"PublName":"Elsevier","InsID":10940,"PersID":null,"INBOID":4047,"OrderNr":1}],"serparttypes":["A"],"monauthors":null,"MParts":null,"SParts":null,"hLibs":null,"langs":[{"BEntID":445906,"AbstractFlag":0,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"}],"urls":[{"URL":"https://www.sciencedirect.com/journal/applied-computing-and-geosciences","externalID":null,"URLTypeCode":null,"URLID":165614,"URLTypID":null,"URLType":null,"URLPrefix":null}],"thesterms":null,"taxterms":null,"geoterms":null,"othterms":null,"asfacodes":null,"asfa2codes":null,"thestermsFRIS":null,"taxtermsFRIS":null,"geotermsFRIS":null,"othtermsFRIS":null,"resmessage":"","complete":1,"sessions":{"newSesName":"Chisala, Chilekwa, C.","newSesDate":{"date":"2026-09-21 08:33:32.620000","timezone_type":3,"timezone":"Europe/Brussels"},"updSesName":"Chisala, Chilekwa, C.","updSesDate":{"date":"2026-09-21 08:33:32.620000","timezone_type":3,"timezone":"Europe/Brussels"}}}