國立虎尾科技大學 |

Machine learning and the Internet of Things in education = models and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine learning and the Internet of Things in education/ edited by John Bush Idoko, Rahib Abiyev.
其他題名:	models and applications /
其他作者:	Abiyev, Rahib.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	ix, 280 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-42924-8
ISBN:	9783031429248

Machine learning and the Internet of Things in education = models and applications /
Machine learning and the Internet of Things in educationmodels and applications /[electronic resource] :edited by John Bush Idoko, Rahib Abiyev. - Cham :Springer Nature Switzerland :2023. - ix, 280 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11151860-9503 ;. - Studies in computational intelligence ;v. 50. .

Introduction to Machine Learning and IoT -- Deep Convolutional Network for Food Image Identification -- Face Mask Recognition System-Based Convolutional Neural Network -- Fuzzy Inference System Based-AI for Diagnosis of Esophageal Cancer -- Skin Detection System Based Fuzzy Neural Networks for Skin Identification -- Machine Learning Based Cardless ATM Using Voice Recognition Techniques -- Intelligent Systems for Automated Classification of Cardiac Arrhythmias -- A Fuzzy Logic Implemented Classification Indicator for the Diagnosis of Diabetes Mellitus in TRNC -- Implementation and Evaluation of a Mobile Smart School Management System NEUKinderApp -- The Emerging Benefits of Gamification Techniques -- A Comprehensive Review of Virtual E-Learning System Challenges -- A Semantic Portal to Improve Search on Rivers State's Independent National Electoral Commission -- Implementation of Semantic Web Service and Integration of e-Government Based Linked Data -- Application of Zero-Trust Networks in e-Health Internet of Things (IoT) Deployments -- IoT Security Based Vulnerability Assessment of e-Learning Systems -- Blockchain technology, artificial intelligence, and big data in education -- Sustainable Education Systems with IoT Paradigms -- Post Covid Era - Smart Class Environment.

This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.

ISBN: 9783031429248

Standard No.: 10.1007/978-3-031-42924-8doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: LB1028.43 / .M33 2023

Dewey Class. No.: 371.33463

Machine learning and the Internet of Things in education = models and applications /
LDR:03424nam a2200337 a 4500 001 1116983
003 DE-He213
005 20230930095820.0
006 m d
007 cr nn 008maaau
008 240124s2023 sz s 0 eng d
020 $a 9783031429248 $q (electronic bk.)
020 $a 9783031429231 $q (paper)
024 7 $a 10.1007/978-3-031-42924-8 $2 doi
035 $a 978-3-031-42924-8
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1028.43 $b .M33 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 371.33463 $2 23
090 $a LB1028.43 $b .M149 2023
245 0 0 $a Machine learning and the Internet of Things in education $h [electronic resource] : $b models and applications / $c edited by John Bush Idoko, Rahib Abiyev.
260 $a Cham : $c 2023. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a ix, 280 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1115
505 0 $a Introduction to Machine Learning and IoT -- Deep Convolutional Network for Food Image Identification -- Face Mask Recognition System-Based Convolutional Neural Network -- Fuzzy Inference System Based-AI for Diagnosis of Esophageal Cancer -- Skin Detection System Based Fuzzy Neural Networks for Skin Identification -- Machine Learning Based Cardless ATM Using Voice Recognition Techniques -- Intelligent Systems for Automated Classification of Cardiac Arrhythmias -- A Fuzzy Logic Implemented Classification Indicator for the Diagnosis of Diabetes Mellitus in TRNC -- Implementation and Evaluation of a Mobile Smart School Management System NEUKinderApp -- The Emerging Benefits of Gamification Techniques -- A Comprehensive Review of Virtual E-Learning System Challenges -- A Semantic Portal to Improve Search on Rivers State's Independent National Electoral Commission -- Implementation of Semantic Web Service and Integration of e-Government Based Linked Data -- Application of Zero-Trust Networks in e-Health Internet of Things (IoT) Deployments -- IoT Security Based Vulnerability Assessment of e-Learning Systems -- Blockchain technology, artificial intelligence, and big data in education -- Sustainable Education Systems with IoT Paradigms -- Post Covid Era - Smart Class Environment.
520 $a This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Engineering and Technology Education. $3 1388767
650 2 4 $a Cyber-Physical Systems. $3 1387591
650 2 4 $a Machine Learning. $3 1137723
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Internet of things. $3 1023130
650 0 $a Machine learning. $3 561253
650 0 $a Artificial intelligence $x Educational applications. $3 559257
700 1 $a Abiyev, Rahib. $3 1430518
700 1 $a Idoko, John Bush. $3 1430517
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 50. $3 720500 $3 770436
856 4 0 $u https://doi.org/10.1007/978-3-031-42924-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)