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DeepdragEon ™, ke ho ba le pula-maliboho ea sa baleheng ba sa baleheng ba sebetsang ka mokhoa o bohlale ba sebetsang ka mokhoa o sebetsang ka potlako le ts'ebetso e sebetsang ea mokha oa Desiletso. Ka potlako ho rarolla litlhoko tsa liqeto tse potlakileng tsa ho tsetela tsa mahae bakeng sa moralo oa liphallelo, lits'enyehelo tsa maqephe a liphatethung tsa thuto, le ts'ebetso e kopaneng ea limela le likotisi tse ncha. Ha ho bapisoa le moralo oa setso, katleho e ka ntlafatsoa e ba fetang 50%, 'me sekhahla se sebetsang sa thepa e ka fihlela ts'ebetso ea fektheri, e nang le tebello ea ts'ebeliso e pharaletseng ea theknoloji.
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Ho kenella mabothong a kopaneng le Setsi sa Boitšoaro ba Sechaba sa Machaena
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Moetapele oa pele oa machaba oa lefatše
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Thepa ea Machabeng ea Phatlalatso ea Searvety Searve
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50 + Nchafatso ea Abontiers1000 matsatsi a ho etsa lipatlisiso tsa mahlale le nts'etsopele e 4 ea boithuto ba Core
Theknoloji ea Core
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Bakeng sa ho rarolla bothata ba ho fumana data ea mantlha sebakeng se khethiloeng, sistimi e amohela mekhoa ea ho aea e sa sebetseng hantle ho fihlela mekhoa e tloaelehileng ea ho fumana data. Algorithms e ipapisitse le thuto e tebileng e ka lemoha likarolo tse kang litsela, matlo, matlo, matlo, matlo a metsi le metsi. Hlokomela litlhahiso tsa opticatic le tse tsebahalang ka potlako.
Hona joale, sistimi e se e phethile koetliso ea mohlala le ho ithuta lintlha tsa bokelleng tsa litšoantšo tse fetang 5000, ka ho nepahala ka sekhahla sa 90%. E ka khutsufatsa haholo kapa ho nkela mosebetsi oa mantlha joalo ka naha ea mahaeng le ho nahanisisa ka eona le ho nahanisisa ka matla a sebetsang le ho boloka litšenyehelo le litšenyehelo tsa mosebetsi.
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Morao o hlophisitsoeng oa pompo o ipapisitse le litlamorao tsa ho amoheloa ha ho amoheloa, ho etsoa ha merafong, e ile ea etsoa, rala ha merafong ea lona e rarahana ka matlo le litsela tsa matlo le litsela. Qalong ea boqapi, re ile ra nka theknoloji e fapaneng le algorith e kang 'mila ea' mila, 'me re hloekisa marang-rang a' mila ho etsa netweke e nne Skeleton More moleng o nang le sebopeho sa marang-rang sa 'nete.
U sebelisa khopolo ea litšoantšo, fana ka tlhahiso ea thekeng ea Village, e ntša 'mapa oa motse o khethiloeng pakeng tsa matlo, litsela le libaka tse phahameng motsaneng.
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Qetellong, data ea litšoantšo le tlhaiso-leseling ea bophahamo e kenya letsoho Algorithm ea marang-rang. Ka makhetlo a mangata, mohloli a le mong algorithm e khutšoanyane ka ho fetisisa ho kopanya boiphihlelo ba moralo bo bokelletsoeng ke likarolo tse ngata tsa meralo ea melao ea meralo.
E kopantsoe le algorithm, ho ithuta ka botebo ho fafatsa ha merero ea matla le phaephe ea sebata e ka tsamaisa merero le pitsage pōro. Fokotsa sekhahla sa phoso ea peipole e sebetsang kahare ho 10%.
Sisteme e ka hlahisa lenane le sebetsang la matsete a matsela a ipapisitseng le data ea boenjiniere le melao ea theko e fanoeng lenaneong la Desomerity Paipeline moralo oa boqapi bo othomaneng. Hlokomela ka nako e loketseng le e nang le kahlolo e molemo.
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Tsamaiso ea Morero ea liphaephe, ho khetha lisebelisoa tsa lisebelisoa, 'me sistimi e ka khetha lihlahisoa tse fapaneng tsa lisebelisoa tse fanoeng ke Algorithm, e matlafatsa taolo e kopaneng ea feme le netweke.
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Sethala se fana ka lisebelisoa tsa nako ea sebele tsa boleng le moralo oa liphaephe, 'me ho ikoetlisa ka mokhoa oa ho ikoetlisa, le ho ntlafatsa boemo ba batho ba bohlale ba sehlahisoa.
Sethala se boetse se fana ka tharollo e le 'ngoe ea basebelisi ho etsa liforomo tsa formation ea Webgis, e sebelisa mekhabiso e kang ea GIS ea Gis e sebelisoang Webgl le mekhoa ea tloaelo ea ho hlahisa Limmapa tse ling, li fana ka ponaletso e ncha ea data le nako ea nnete ho holisa mesebetsi ea pono ea data. Ka sehlahisoa sena, lifaele tsa kaho tsa pompoline li ka jaroa le ho bontšoa limmapa tsa Gis. Hape hlokomela hore u tsamaise molumo oa fektheri ea fektheri ho pholletsa le bophelo bohle ba bophelo bohle.
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Ho fana ka tšireletso ea ts'ireletso ea tikoloho ea tikoloho ea tikoloho ea tikoloho e hlahisitsoeng e hlahisitse sebopeho sa ts'ebetso e ncha e tsoetseng pele. E ka fihlela ts'ebetso e felletseng ea boipuso le taolo, e ikemiselitse ho sebelisa litšenyehelo tsa data, le ts'ebetso e tlase ea ts'ebetso ea data. Mabapi le phokotso ea litšenyehelo tsa litšenyehelo, ntlafatso ea katleho, ho sebetsana kotsing, ho fokotsa litšenyehelo tsa ts'ebetso, le ho ntlafatsa mokhoa oa ho lekola le ho etsa liqeto. Ho etsa qeto e ntlafatsang tekano, likeletso, le maemo, maemo a bohlale a ho lokisa le ho hlokomela ts'ebetso le taolo ea kalafo ea mahaeng.
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Sistimi e ka beha melao ea alamo ka bolokolohi ho lemoha hore Alamo ea 'nete le Ak'haonte ea Mesebetsi, Basebetsi le Ts'ebetso ea Boitsebiso ba Ts'ebetso le Ts'ebetso ea Ts'ebetso ea Ts'ebetso.
E ka fokotsa nako ea tlhahlobo ea mantsoe ka 40%, e ntlafatsa ho beha leihlo le ho etsa liqeto, ho atisoa, ho sebetsa le ho hlokomela le ho hlokomela le ho mo laola le ho hlokomela le ho mo laola ha mahaeng Phekolo.
Morero oa R & D
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