Search results for: NAIWNY KLASYFKATOR BAYESA - Bridge of Knowledge

Search

Search results for: NAIWNY KLASYFKATOR BAYESA

Filters

total: 588
filtered: 6

clear all filters


Chosen catalog filters

  • Year of publication

  • Discipline

  • Administrative Unit

  • Open model

  • Data source

clear Chosen catalog filters

Search results for: NAIWNY KLASYFKATOR BAYESA

  • Images of apples for the use of the Viola-Jones method. Data set no. 2 - grey scale

    Open Research Data
    open access

    The database contains pictures of apples made at different angles, from different sides and containing different varieties. In this way, two bases of apple images were created (each database contains 1,100 images). This set is data set no. 2 - grey scale: processed images in shades of gray. The photos were prepared for the best possible detection process...

  • Images of apples for the use of the Viola-Jones method. Data set no. 1 - multicolor.

    Open Research Data
    open access

    The database contains pictures of apples made at different angles, from different sides and containing different varieties. In this way, two bases of apple images were created (each database contains over 1,100 images). This set is data set no. 1 - multicolor: processed images in multicolor. The photos were prepared for the best possible detection process...

  • Bias mitigation benchmark that includes two datasets

    Open Research Data

    ISIC-2020 is the largest skin lesion dataset divided into two classes -- benign and malignant. It contains 33126 dermoscopic images from over 2000 patients. The diagnoses were confirmed either by histopathology, expert agreement or longitudinal follow-up. The dataset was gathered by The International Skin Imaging Collaboration (ISIC) from several medical...

  • Transition dipole moment functions of the KRb molecule

    Electronic transition dipole moment functions (TDMF) have been calculated for the singlet (s) and triplet (t) Sigma+ (S+), Pi (P), and Delta (D) electronic states of the KRb molecule. TDMFs are needed in understanding processes like photodissociation, photoassociation, cooling, and trapping of molecules. All results of the transition dipole moments...

  • Permanent dipole moment functions of the KRb molecule

    Electronic permanent dipole moment functions (PDMF) have been calculated for the singlet (s) and triplet (t) Sigma+, Sigma-, Pi, and Delta electronic states of the KRb molecule. PDMFs are needed in understanding processes like photodissociation, photoassociation, cooling, and trapping of molecules. All results of the permanent dipole moments have been...

  • Supplementary material for: Fungal Planet description sheets: 1478–1549

    Open Research Data
    open access
    • P. Crous
    • E.  Osieck
    • R.  Shivas
    • Y.  Tan
    • S.  Bishop-Hurley
    •  . F.
    • E.  Larsson
    • J.  Luangsa-ard
    • F.  Pancorbo
    • S.  Balashov
    • I.  Baseia
    • T. iuribaseia@gmail.com
    • S.  Chandranayaka
    • D.  Cowan
    • R.  Cruz
    • P.  Czachura
    • S.  De la Peña-Lastra
    • F.  Dovana
    • B.  Drury
    • J.  Fell
    • A.  Flakus
    • R.  Fotedar
    • Ž.  Jurjević
    • A.  Kolecka
    • J.  Mack
    • G.  Maggs-Kölling
    • S.  Mahadevakumar
    • A.  Mateos
    • S.  Mongkolsamrit
    • W.  Noisripoom
    • M.  Plaza
    • D. Overy
    • M.  Piatek
    • M.  Sandoval-Denis
    • J.  Vauras
    • M.  Wingfield
    • S.  Abell
    • A.  Ahmadpour
    • A.  Akulov
    • F.  Alavi
    • Z.  Alavi
    • A.  Altés
    • P.  Alvarado
    • G.  Anand
    • N.  Ashtekar
    • B.  Assyov
    • G.  Banc-Prandi
    • K.  Barbosa
    • G.  Barreto
    • J.  Bellanger
    • J.  Bezerra
    • D.  Bhat
    • P.  Bilański
    • T.  Bose
    • F.  Bozok
    • J.  Chaves
    • D.  Costa-Rezende
    • C.  Danteswari
    • V. Darmostuk
    • G.  Delgado
    • S.  Denman
    • A.  Eichmeier
    • J.  Etayo
    • G.  Eyssartier
    • S.  Faulwetter
    • K.  Ganga
    • Y.  Ghosta
    • J.  Goh
    • J.  Góis
    • D.  Gramaje
    • L.  Granit
    • M.  Groenewald
    • G.  Gulden
    • L.  Gusmão
    • A.  Hammerbacher
    • Z.  Heidarian
    • N.  Hywel-Jones
    • R.  Jankowiak
    • M.  Kaliyaperumal
    • O.  Kaygusuz
    • K.  Kezo
    • A.  Khonsanit
    • S.  Kumar
    • C.  Kuo
    • T.  Laessøe
    • K.  Latha
    • M.  Loizides
    • S.  Luo
    • J.  Maciá-Vicente
    • P.  Manimohan
    • P.  Marbach
    • P.  Marinho
    • T.  Marney
    • G.  Marques
    • M.  Martín
    • A.  Miller
    • F.  Mondello
    • G.  Moreno
    • K.  Mufeeda
    • H. Mun
    • T.  Nau
    • T.  Nkomo
    • A.  Okrasińska
    • J.  Oliveira
    • R.  Oliveira
    • D.  Ortiz
    • J.  Pawłowska
    • M.  Pérez-De-Gregorio
    • A.  Podile
    • A.  Portugal
    • N.  Privitera
    • K.  Rajeshkumar
    • I.  Rauf
    • B.  Rian
    • A.  Rigueiro-Rodríguez
    • G.  Rivas-Torres
    • P. Rodriguez-Flakus
    • M.  Romero-Gordillo
    • I.  Saar
    • M.  Saba
    • C.  Santos
    • P.  Sarma
    • J.  Siquier
    • S.  Sleiman
    • M.  Spetik
    • K.  Sridhar
    • M.  Stryjak-Bogacka
    • K.  Szczepańska
    • H.  Taşikn
    • D.  Tennakoon
    • D.  Thanakitpipattana
    • J.  Trovão
    • A.  Türkekul
    • A.  van Iperen
    • P.  van 't Hof
    • G.  Vasquez
    • C.  Visagie
    • B.  Wingfield
    • P.  Wong
    • W.  Yang
    • M.  Yarar
    • O.  Yarden
    • N.  Yilmaz
    • N.  Zhang
    • Y.  Zhu
    • J.  Groenewald

    Novel species of fungi described in this study include those from various countries as follows: Australia, Bolivia, Brazil, Bulgaria, Canada, China, Denmark, Ecuador (Galapagos), Finland, France, India, Iran, Israel, Italy, Namibia, Netherlands, Norway, Pakistan, Poland, Portugal, Qatar, South Africa, South Korea, Spain, Sweden, Thailand, Taiwan region...