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namakan semula set bingkai
insert column
Ultimo aggiornamento 2011-10-23
Frequenza di utilizzo: 1
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i : set data iptc
i : iptc datasets
Ultimo aggiornamento 2014-08-15
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set data tidak diketahui
unknown dataset
Ultimo aggiornamento 2014-08-15
Frequenza di utilizzo: 1
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nama set data '%1' tidak sah
invalid dataset name `%1'
Ultimo aggiornamento 2014-08-15
Frequenza di utilizzo: 1
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paraview membenarkan pemaparan set data yang besar
paraview allows viewing of large data sets
Ultimo aggiornamento 2014-08-15
Frequenza di utilizzo: 1
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volview membenarkan pemaparan volum bagi set data imej
volview allows volume viewing of image data sets
Ultimo aggiornamento 2014-08-15
Frequenza di utilizzo: 1
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tentukan sama ada dua set data berbeza dengan satu sama lain.
determine if two sets of data are significantly different from each other.
Ultimo aggiornamento 2018-04-17
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merupakan set data meta mengenai kerja seni atau objek dalam imej.
a set of metadata about artwork or an object in the image.
Ultimo aggiornamento 2014-08-15
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fungsi mode () mengembalikan nilai paling kerap wujud dalam set data.
the mode() function returns the most frequently occurring value in the data set.
Ultimo aggiornamento 2011-10-23
Frequenza di utilizzo: 1
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fungai avedev () mengira purata sisihan mutlak bagi set data dari minnya.
pricemat calculate the price per 100 currency units of face value of the security that pays interest on the maturity date.
Ultimo aggiornamento 2011-10-23
Frequenza di utilizzo: 1
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set data rcgp rsc termasuk semua data yang dikodkan dan item yang ditetapkan termasuk pendedahan kepada vaksin.
the rcgp rsc data set includes all coded data and all prescribed items including vaccine exposure.
Ultimo aggiornamento 2020-08-25
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set data adalah untuk memudahkan beberapa penyedia yang memerlukan maklumat penghalaan diatas lapisa osi yang berkenaan.
this dataset is to accommodate some providers who require routing information above the appropriate osi layers.
Ultimo aggiornamento 2014-08-15
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penulis telah berjaya menganalisis enam set data yang dikumpul untuk menunjukkan bahawa profesional perpustakaan universiti telah ditahap kesedaran yang rendah.
such expectations generate the need for academic librarians to improve their skills and competencies.an academic librarian is expected to be proficient in finding electronic resources, be proficient in using different social networks and have knowledge of different databases.
Ultimo aggiornamento 2022-05-22
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ii. dengan menukar struktur data senarai dalam i. menjadi matriks, meringkaskan dan membandingkan purata dan konsistensi set data yang sepadan dengan syif seminggu. nyatakan alasan anda.
by converting the list data structure in i. into a matrix, summarise and compares the average and consistency of the dataset corresponding to the shifts of a week. state your reason.
Ultimo aggiornamento 2022-04-11
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set data yang mengenalpasti pengecam kaedah hubungan abstrak (arm) ang diterangkan dalam dokumen berdaftar dengan pemilik asal arm dengan organisasi iptc dan naa.
the dataset identifies the abstract relationship method identifier (arm) which is described in a document registered by the originator of the arm with the iptc and naa organizations.
Ultimo aggiornamento 2014-08-15
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fungsi kurt () mengira anggaran saksama kurtosis bagi set data. anda perlu menyediakan sekurang- kurangnya 4 nilai, jika tidak ralat dikembalikan.
the kurt() function calculates an unbiased estimate of the kurtosis of a data set. you have to provide at least 4 values, otherwise an error is returned.
Ultimo aggiornamento 2011-10-23
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pada masa kini pendekatan pembelajaran mendalam digunakan secara meluas untuk menganalisis imej termasuk imej perubatan untuk diagnosis kanser. tujuan kertas kerja ini adalah untuk menyiasat keupayaan untuk menggunakan model pembelajaran mendalam untuk mengklasifikasikan imej biopsi untuk anotasi dan diagnosis histopatologi kanser payudara. untuk klasifikasi set data kanser payudara, tiga algoritma pembelajaran mendalam digunakan iaitu bahasa desnenet121, resnet 18 dan inception v3et python.
nowadays deep learning approaches are widely used to analyze images including medical images for cancer diagnosis. the purpose of this paper is to investigate the ability to use an in -depth learning model to classify biopsy images for annotation and histopathological diagnosis of breast cancer. for the classification of breast cancer data sets, three deep learning algorithms are used namely desnenet121, resnet 18 and inception-v3net python languages.
Ultimo aggiornamento 2021-12-21
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