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Innovations in electrical and electr...

International Conference on Electrical and Electronics Engineering (2024 :)

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Innovations in electrical and electronics engineering = proceedings of ICEEE 2024.. Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovations in electrical and electronics engineering/ edited by Akhtar Kalam, Saad Mekhilef, Sheldon S. Williamson.
其他題名:	proceedings of ICEEE 2024.
其他題名:	ICEEE 2024
其他作者:	Kalam, Akhtar.
團體作者:	International Conference on Electrical and Electronics Engineering
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xvi, 693 p. :ill. (chiefly color), digital ;24 cm.
內容註:	1. SPP CNN Spatial Pyramid Pooling for Optimizing Brain Tumor Classification -- 2. KAN PDEs A Novel Approach to Solving Partial Differential Equations Using Kolmogorov Arnold Networks Enhanced Accuracy and Efficiency -- 3. Dynamic Indian Sign Language Sentence Captioning System Using Machine Learning -- 4. The Rehab Reco A Therapy Recommender System for Dementia -- 5. Implementation of Machine learning and Ensemble learning models for the prediction of CKD and drugs side effect -- 6. Adverse Weather Object Detection using Customised YOLO models -- 7. Cryptographic Security and Decentralization A Blockchain based Approach to Healthcare Data Integrity -- 8. Predicting Brain Age Using Lightweight 3D CNN Architecture from T1 Weighted MRI Images -- 9. Performance analysis of a Deep Learning-based Object Detection Approach for Post disaster Buildings Damage Level Assessment using YOLO and Faster R CNN -- 10. LSTM based Predictive Leader Follower Control Scheme for Networked Drones.
Contained By:	Springer Nature eBook
標題:	Electrical engineering - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-97-9112-5
ISBN:	9789819791125

Innovations in electrical and electronics engineering = proceedings of ICEEE 2024.. Volume 2 /
Innovations in electrical and electronics engineeringproceedings of ICEEE 2024.Volume 2 /[electronic resource] :ICEEE 2024edited by Akhtar Kalam, Saad Mekhilef, Sheldon S. Williamson. - Singapore :Springer Nature Singapore :2025. - xvi, 693 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,v. 12951876-1119 ;. - Lecture notes in electrical engineering ;v. 1295..

1. SPP CNN Spatial Pyramid Pooling for Optimizing Brain Tumor Classification -- 2. KAN PDEs A Novel Approach to Solving Partial Differential Equations Using Kolmogorov Arnold Networks Enhanced Accuracy and Efficiency -- 3. Dynamic Indian Sign Language Sentence Captioning System Using Machine Learning -- 4. The Rehab Reco A Therapy Recommender System for Dementia -- 5. Implementation of Machine learning and Ensemble learning models for the prediction of CKD and drugs side effect -- 6. Adverse Weather Object Detection using Customised YOLO models -- 7. Cryptographic Security and Decentralization A Blockchain based Approach to Healthcare Data Integrity -- 8. Predicting Brain Age Using Lightweight 3D CNN Architecture from T1 Weighted MRI Images -- 9. Performance analysis of a Deep Learning-based Object Detection Approach for Post disaster Buildings Damage Level Assessment using YOLO and Faster R CNN -- 10. LSTM based Predictive Leader Follower Control Scheme for Networked Drones.

This book features selected high-quality papers presented at the 2024 International Conference on Electrical and Electronics Engineering (ICEEE 2024), Jointly organized by ADSRS Education and Research and Swinburne University of Technology, Melbourne, Australia during September 11-12, 2024, at Advanced Technologies Centre, Swinburne University of Technology, 427-451 Burwood Rd, Hawthorn VIC 3122. The book 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, 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: 9789819791125

Standard No.: 10.1007/978-981-97-9112-5doiSubjects--Topical Terms:

1086140
Electrical engineering
--Congresses.

LC Class. No.: TK5

Dewey Class. No.: 621.3

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