國立虎尾科技大學 |

Machine Learning Algorithms for Industrial Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning Algorithms for Industrial Applications/ edited by Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien.
其他作者:	Hassanien, Aboul-Ella.
面頁冊數:	XVII, 315 p. 164 illus., 117 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-50641-4
ISBN:	9783030506414

Machine Learning Algorithms for Industrial Applications
Machine Learning Algorithms for Industrial Applications[electronic resource] /edited by Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien. - 1st ed. 2021. - XVII, 315 p. 164 illus., 117 illus. in color.online resource. - Studies in Computational Intelligence,9071860-9503 ;. - Studies in Computational Intelligence,564.

Part I: Natural Language Processing -- A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text -- Automated Document Categorization Model -- Automated Categorization & Mining Tweets for Disaster Management -- Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA -- Part II: Computer Vision -- Image Inpainting for Irregular Holes using Extreme Learning Machine -- OCR using Computer Vision and Machine Learning -- Few Shot Learning for Medical Imaging -- Hyperspectral Remote Sensing Image Classification using Active Learning -- A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document -- GRNN Based An Intelligent Technique for Image Inpainting -- Part III: Data Analysis and Prediction -- Content-Based Airline Recommendation Prediction using Machine Learning Techniques -- Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope -- An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant -- Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps -- Part IV: Decision Making System -- Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor -- Long Term Evolution for Secured Smart Railway Communications using Internet of Things -- Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis.

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

ISBN: 9783030506414

Standard No.: 10.1007/978-3-030-50641-4doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Machine Learning Algorithms for Industrial Applications
LDR:03933nam a22004095i 4500 001 1047278
003 DE-He213
005 20211014155151.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030506414 $9 978-3-030-50641-4
024 7 $a 10.1007/978-3-030-50641-4 $2 doi
035 $a 978-3-030-50641-4
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Machine Learning Algorithms for Industrial Applications $h [electronic resource] / $c edited by Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XVII, 315 p. 164 illus., 117 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-9503 ; $v 907
505 0 $a Part I: Natural Language Processing -- A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text -- Automated Document Categorization Model -- Automated Categorization & Mining Tweets for Disaster Management -- Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA -- Part II: Computer Vision -- Image Inpainting for Irregular Holes using Extreme Learning Machine -- OCR using Computer Vision and Machine Learning -- Few Shot Learning for Medical Imaging -- Hyperspectral Remote Sensing Image Classification using Active Learning -- A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document -- GRNN Based An Intelligent Technique for Image Inpainting -- Part III: Data Analysis and Prediction -- Content-Based Airline Recommendation Prediction using Machine Learning Techniques -- Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope -- An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant -- Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps -- Part IV: Decision Making System -- Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor -- Long Term Evolution for Secured Smart Railway Communications using Internet of Things -- Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis.
520 $a This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
700 1 $a Hassanien, Aboul-Ella. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 683778
700 1 $a Dey, Nilanjan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1110380
700 1 $a Das, Shom Prasad. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1350966
700 1 $a Das, Santosh Kumar. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1317936
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030506407
776 0 8 $i Printed edition: $z 9783030506421
776 0 8 $i Printed edition: $z 9783030506438
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-50641-4
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)