Automatic identification of algal community from microscopic images. - Wikidata - wikimedia - TriplyDB

Automatic identification of algal community from microscopic images.

Automatic identification of algal community from microscopic images.

http://www.wikidata.org/entity/Q35024566

about

Automatic plankton image classification combining multiple view features via multiple kernel learning.Seasonal dynamics of freshwater pathogens as measured by microarray at Lake Sapanca, a drinking water source in the north-eastern part of Turkey.

P2860

Q47129252-724C7134-456D-4F24-8519-A97615AA1B53 Q47742833-7A0D1E87-249E-42A8-83CA-80D14065A63B

P2860

Automatic identification of algal community from microscopic images.

http://www.wikidata.org/entity/Q35024566

description

2013 nî lūn-bûn

@nan

2013 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

Automatic identification of algal community from microscopic images.

@ast

Automatic identification of algal community from microscopic images.

@en

type

label

Automatic identification of algal community from microscopic images.

@ast

Automatic identification of algal community from microscopic images.

@en

prefLabel

Automatic identification of algal community from microscopic images.

@ast

Automatic identification of algal community from microscopic images.

@en

P1433

Q35024566-3A346D99-71B2-4100-AEC2-6451D59B7AAF

P1476

Q35024566-F450C9B6-96E9-4B7C-AD33-1874E0237648

P2093

Q35024566-05C9C293-BE6D-483F-A145-E7B8A7D883B4

Q35024566-2840A577-0BE2-44B5-95B6-EB5F05ABC3B6

Q35024566-4E4D7B7D-F18C-406B-8597-883E2A69B7BE

Q35024566-A1EE795F-4E38-4441-8B1A-BD6147A03A87

P2860

Q35024566-060D58E8-CE82-448D-BCD7-B385A041D964

Q35024566-1A0C6E17-AE8C-433F-8EAC-BB43BCF10C66

Q35024566-25403FCA-AEBC-4242-A49F-5F3AB25E3611

Q35024566-6A288D65-F7B7-4807-BAD6-E46E77A139D9

Q35024566-6B1D76C6-6DD0-47FD-8DDC-EA6A773221C1

Q35024566-B6C9BBC1-F4B6-44D6-9F43-D5C1EA89D7F0

P304

Q35024566-803C50E0-C8F8-48E3-B7EC-AFF0671F71F8

P31

Q35024566-B130B71C-5481-421B-A799-5124AC2B518B

P356

Q35024566-03A92ED9-E805-4A7F-A2D7-B1638CEC5E2A

P478

Q35024566-794E66CE-428A-4CED-A692-EAD9B5448E7E

P577

Q35024566-4BF65589-7C5E-40CF-9F35-D84C9071577C

P698

Q35024566-B51D00E8-D051-4B10-8FD0-118588206A4F

P921

Q35024566-D1CD90ED-6F88-4198-A126-FE37CF01780A

P932

Q35024566-6A46962F-4789-498E-8FB2-BF5435148748

P356

P1433

Bioinformatics and Biology Insights

P1476

Automatic identification of algal community from microscopic images.

@en

P2093

Chinnaraj Pradeepa

http://www.w3.org/2001/XMLSchema#string

Natchimuthu Santhi

http://www.w3.org/2001/XMLSchema#string

Parthasarathy Subashini

http://www.w3.org/2001/XMLSchema#string

Senthil Kalaiselvi

http://www.w3.org/2001/XMLSchema#string

P2860

A Computational Approach to Edge Detection

Fluorescence-assisted image analysis of freshwater microalgae.

Rapid determination of bacterial abundance, biovolume, morphology, and growth by neural network-based image analysis

Participation of a cyanobacterial S layer in fine-grain mineral formation.

A preliminary study on automated freshwater algae recognition and classification system

Digital image processing-an alternate tool for monitoring of pigment levels in cultured cells with special reference to green alga Haematococcus pluvialis.

P304

327-334

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.4137/BBI.S12844

http://www.w3.org/2001/XMLSchema#string

P478

7

http://www.w3.org/2001/XMLSchema#string

P577

2013-10-10T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

24151424

http://www.w3.org/2001/XMLSchema#string

P921

P932

3798295

http://www.w3.org/2001/XMLSchema#string