國立高雄大學圖資館 |

Innovations in electrical and electronic engineeringproceedings of ICEEE 2023.Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovations in electrical and electronic engineeringedited by Rabindra Nath Shaw ... [et al.].
其他題名:	proceedings of ICEEE 2023.
其他題名:	ICEEE 2023
其他作者:	Shaw, Rabindra Nath.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xv, 703 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Electrical engineeringCongresses.
電子資源:	https://doi.org/10.1007/978-981-99-8661-3
ISBN:	9789819986613$q(electronic bk.)

Innovations in electrical and electronic engineeringproceedings of ICEEE 2023.Volume 2 /
Innovations in electrical and electronic engineeringproceedings of ICEEE 2023.Volume 2 /[electronic resource] :ICEEE 2023edited by Rabindra Nath Shaw ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xv, 703 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 11151876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Optimization of Cloud Migration Parameters using Novel Linear Programming Technique -- A Novel approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks -- Complex Social Networks: Dynamics, Dynamics, Do-mains & Dimensions -- Enhancing Road Safety and Efficiency in Vehicular Ad-Hoc Networks through Anomaly Detection and Traffic Prediction using Big Data Analytics -- Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study -- The Impact of antidepressants in Tech Industry by medical history and interpersonal factors : A Systematic Review and Meta Analysis -- Artificial Neural Networks for Enhancing E-commerce: A Study on Improving Personalization, Recommendation and Customer Experience -- New Paradigm of Marketing-Financial Integration Modelling for Business Performance: An IMC Model -- Fusing Management and Deep Learning to Develop Cutting-edge Conversational Agents -- Water Quality Classification Using Machine Learning Techniques -- A Firebase based Smart Home Automation system using IoT -- EnRaFS: An Ensemble Ranking-based Feature Selection Approach for Grading Gallbladder Cancer using Radiomic Analysis -- Unmasking Deep Fakes: Advancements, Challenges, and Ethical Considerations -- Enhancing Healthcare Security using IoT-Enabled with Continuous Authentication Using Deep Learning -- Cross-Project Defect Prediction: Leveraging Knowledge Transfer for Improved Software Quality Assurance -- Multilingual Toxic Comment Classification using Bidirectional LSTM -- An Extensive Approach for Inter-Frames Video Forgery Detection -- Blockchain Empowered IVF: Revolutionizing Efficiency and Trust through Smart Contracts -- An Intelligent Diabetes Predicting Model for Diverse Ethnicities -- Detection of Punjabi Newspaper articles using a Deep-learning Approach -- Performance Measurement and Analysis of Partial Cloud Dependent Application Hosting -- Automatic Disease Detection For Various Plants Leaf Using Image Processing Techniques And Tensor-Flow Algorithm -- Contribution Unveiling Cutting-Edge Machine Learning Techniques for Image Segmentation -- Anticipating Graduate Program Admission Through Implementation of Deep Learning Models -- Ubiquitous Computing: A Comprehensive Review -- Deep Learning Tools for Covid-19 Pneumonia Classification -- Enhanced Change Detection Analysis of Urban Land Use and Land Cover in Vijayawada City: Integrating Artificial Neural Networks and Mahalanobis Distance Classification -- Explainable Machine Learning for Drug Classification -- Deep Learning-based Intrusion Detection System for Internet of Things Networks for Enhancing Security Against Cyber Attacks.

This book features selected high-quality papers presented at the 2023 International Conference on Electrical and Electronics Engineering (ICEEE 2023), organized at Chitkara University, Himachal Pradesh in August 2023. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics-power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing and others. The book brings both single- and multidisciplinary research on these topics to provide the most up-to-date information in one place. The book offers an asset for researchers from both academia and industries involved in advanced studies.

ISBN: 9789819986613$q(electronic bk.)

Standard No.: 10.1007/978-981-99-8661-3doiSubjects--Topical Terms:

485442
Electrical engineering
--Congresses.

LC Class. No.: TK5

Dewey Class. No.: 621.3

Innovations in electrical and electronic engineeringproceedings of ICEEE 2023.Volume 2 /
LDR:04747nmm a2200349 a 4500 001 663048
003 DE-He213
005 20240215181805.0
006 m d
007 cr nn 008maaau
008 241203s2024 si s 0 eng d
020 $a 9789819986613$q(electronic bk.)
020 $a 9789819986606$q(paper)
024 7 $a 10.1007/978-981-99-8661-3 $2 doi
035 $a 978-981-99-8661-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5
072 7 $a THR $2 bicssc
072 7 $a TEC031000 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 621.3 $2 23
090 $a TK5 $b .I61 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Innovations in electrical and electronic engineering $h [electronic resource] : $b proceedings of ICEEE 2023. $n Volume 2 / $c edited by Rabindra Nath Shaw ... [et al.].
246 3 $a ICEEE 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xv, 703 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 1115
505 0 $a Optimization of Cloud Migration Parameters using Novel Linear Programming Technique -- A Novel approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks -- Complex Social Networks: Dynamics, Dynamics, Do-mains & Dimensions -- Enhancing Road Safety and Efficiency in Vehicular Ad-Hoc Networks through Anomaly Detection and Traffic Prediction using Big Data Analytics -- Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study -- The Impact of antidepressants in Tech Industry by medical history and interpersonal factors : A Systematic Review and Meta Analysis -- Artificial Neural Networks for Enhancing E-commerce: A Study on Improving Personalization, Recommendation and Customer Experience -- New Paradigm of Marketing-Financial Integration Modelling for Business Performance: An IMC Model -- Fusing Management and Deep Learning to Develop Cutting-edge Conversational Agents -- Water Quality Classification Using Machine Learning Techniques -- A Firebase based Smart Home Automation system using IoT -- EnRaFS: An Ensemble Ranking-based Feature Selection Approach for Grading Gallbladder Cancer using Radiomic Analysis -- Unmasking Deep Fakes: Advancements, Challenges, and Ethical Considerations -- Enhancing Healthcare Security using IoT-Enabled with Continuous Authentication Using Deep Learning -- Cross-Project Defect Prediction: Leveraging Knowledge Transfer for Improved Software Quality Assurance -- Multilingual Toxic Comment Classification using Bidirectional LSTM -- An Extensive Approach for Inter-Frames Video Forgery Detection -- Blockchain Empowered IVF: Revolutionizing Efficiency and Trust through Smart Contracts -- An Intelligent Diabetes Predicting Model for Diverse Ethnicities -- Detection of Punjabi Newspaper articles using a Deep-learning Approach -- Performance Measurement and Analysis of Partial Cloud Dependent Application Hosting -- Automatic Disease Detection For Various Plants Leaf Using Image Processing Techniques And Tensor-Flow Algorithm -- Contribution Unveiling Cutting-Edge Machine Learning Techniques for Image Segmentation -- Anticipating Graduate Program Admission Through Implementation of Deep Learning Models -- Ubiquitous Computing: A Comprehensive Review -- Deep Learning Tools for Covid-19 Pneumonia Classification -- Enhanced Change Detection Analysis of Urban Land Use and Land Cover in Vijayawada City: Integrating Artificial Neural Networks and Mahalanobis Distance Classification -- Explainable Machine Learning for Drug Classification -- Deep Learning-based Intrusion Detection System for Internet of Things Networks for Enhancing Security Against Cyber Attacks.
520 $a This book features selected high-quality papers presented at the 2023 International Conference on Electrical and Electronics Engineering (ICEEE 2023), organized at Chitkara University, Himachal Pradesh in August 2023. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics-power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing and others. The book brings both single- and multidisciplinary research on these topics to provide the most up-to-date information in one place. The book offers an asset for researchers from both academia and industries involved in advanced studies.
650 0 $a Electrical engineering $v Congresses. $3 485442
650 0 $a Electronics $3 252955
650 1 4 $a Electrical Power Engineering. $3 919410
650 2 4 $a Microwaves, RF Engineering and Optical Communications. $3 913287
650 2 4 $a Control, Robotics, Automation. $3 914981
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Shaw, Rabindra Nath. $3 892403
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v.132. $3 545003
856 4 0 $u https://doi.org/10.1007/978-981-99-8661-3
950 $a Energy (SpringerNature-40367)