語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"abualigah, laith." ]
切換:
標籤
|
MARC模式
|
ISBD
Classification applications with deep learning and machine learning technologies
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Classification applications with deep learning and machine learning technologiesedited by Laith Abualigah.
其他作者:
Abualigah, Laith.
出版者:
Cham :Springer International Publishing :2023.
面頁冊數:
viii, 288 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Machine learning.
電子資源:
https://doi.org/10.1007/978-3-031-17576-3
ISBN:
9783031175763$q(electronic bk.)
Classification applications with deep learning and machine learning technologies
Classification applications with deep learning and machine learning technologies
[electronic resource] /edited by Laith Abualigah. - Cham :Springer International Publishing :2023. - viii, 288 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10711860-9503 ;. - Studies in computational intelligence ;v. 216..
Artocarpus Classification Technique using Deep Learning based Convolutional Neural Network -- Rambutan Image Classification using Various Deep Learning Approaches -- Mango Varieties Classification-based Optimization with Transfer Learning and Deep Learning Approaches -- Salak Image Classification Method based Deep Learning Technique using Two Transfer Learning Models -- Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques -- Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus Integer and Artocarpus Heterophyllus -- Markisa/Passion Fruit Image Classification based Improved Deep Learning Approach using Transfer Learning -- Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data -- A Novel Big Data Classification Technique for Healthcare Application using Support Vector Machine, Random Forest and J48 -- Comparative Study on Arabic Text Classification: Challenges and Opportunities -- Pedestrian Speed Prediction Using Feed Forward Neural Network -- Arabic Text Classification using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect.
This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies' image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.
ISBN: 9783031175763$q(electronic bk.)
Standard No.: 10.1007/978-3-031-17576-3doiSubjects--Topical Terms:
188639
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Classification applications with deep learning and machine learning technologies
LDR
:02751nmm a2200337 a 4500
001
645397
003
DE-He213
005
20221116153324.0
006
m d
007
cr nn 008maaau
008
231208s2023 sz s 0 eng d
020
$a
9783031175763$q(electronic bk.)
020
$a
9783031175756$q(paper)
024
7
$a
10.1007/978-3-031-17576-3
$2
doi
035
$a
978-3-031-17576-3
040
$a
GP
$c
GP
$e
rda
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.C614 2023
245
0 0
$a
Classification applications with deep learning and machine learning technologies
$h
[electronic resource] /
$c
edited by Laith Abualigah.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2023.
300
$a
viii, 288 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-9503 ;
$v
v. 1071
505
0
$a
Artocarpus Classification Technique using Deep Learning based Convolutional Neural Network -- Rambutan Image Classification using Various Deep Learning Approaches -- Mango Varieties Classification-based Optimization with Transfer Learning and Deep Learning Approaches -- Salak Image Classification Method based Deep Learning Technique using Two Transfer Learning Models -- Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques -- Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus Integer and Artocarpus Heterophyllus -- Markisa/Passion Fruit Image Classification based Improved Deep Learning Approach using Transfer Learning -- Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data -- A Novel Big Data Classification Technique for Healthcare Application using Support Vector Machine, Random Forest and J48 -- Comparative Study on Arabic Text Classification: Challenges and Opportunities -- Pedestrian Speed Prediction Using Feed Forward Neural Network -- Arabic Text Classification using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect.
520
$a
This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies' image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.
650
0
$a
Machine learning.
$3
188639
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Machine Learning.
$3
833608
650
2 4
$a
Big Data.
$3
760530
700
1
$a
Abualigah, Laith.
$3
954163
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Studies in computational intelligence ;
$v
v. 216.
$3
380871
856
4 0
$u
https://doi.org/10.1007/978-3-031-17576-3
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000226776
電子館藏
1圖書
電子書
EB Q325.5 .C614 2023 2023
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-031-17576-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入