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Advances in artificial intelligence ...

International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (2024 :)

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Advances in artificial intelligence and machine learning = proceedings of ERCICAM 2024.. Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in artificial intelligence and machine learning/ edited by N. R. Shetty ... [et al.].
其他題名:	proceedings of ERCICAM 2024.
其他題名:	ERCICAM 2024
其他作者:	Shetty, N. R.
團體作者:	International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xx, 577 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter 1. Leverage Machine Learning To Infer Proof of the Nipah Influenza -- Chapter 2. Comparative Analysis of Seizure Prediction Methods -- Chapter 3. Enhancing Crop Yield through Rainfall Analysis using Machine Learning Techniques -- Chapter 4. Performance Evaluation Of Machine Learning Algorithms For Breast Cancer Detection In Women -- Chapter 5. Sarcasm Detection in Hindi Social Media Text using HindiBERT-LSTM and XGBoost Models -- Chapter 6. Enhancing Breast Cancer Prediction: A Comparative Analysis of CNN and Ensemble Models with Data Balancing Techniques -- Etc.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-3105-6
ISBN:	9789819631056

Advances in artificial intelligence and machine learning = proceedings of ERCICAM 2024.. Volume 2 /
Advances in artificial intelligence and machine learningproceedings of ERCICAM 2024.Volume 2 /[electronic resource] :ERCICAM 2024edited by N. R. Shetty ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xx, 577 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 13351876-1119 ;. - Lecture notes in electrical engineering ;volume 1335..

Chapter 1. Leverage Machine Learning To Infer Proof of the Nipah Influenza -- Chapter 2. Comparative Analysis of Seizure Prediction Methods -- Chapter 3. Enhancing Crop Yield through Rainfall Analysis using Machine Learning Techniques -- Chapter 4. Performance Evaluation Of Machine Learning Algorithms For Breast Cancer Detection In Women -- Chapter 5. Sarcasm Detection in Hindi Social Media Text using HindiBERT-LSTM and XGBoost Models -- Chapter 6. Enhancing Breast Cancer Prediction: A Comparative Analysis of CNN and Ensemble Models with Data Balancing Techniques -- Etc.

This book features papers from the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2024). It serves as an interdisciplinary platform for researchers, professional engineers, scientists, educators, and technologists to discuss, debate, and promote advancements in research and technology within the evolving fields of computing, information, communication, and their applications. Topics covered include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book explores these emerging research areas and acts as a valuable resource for both researchers and practicing engineers.

ISBN: 9789819631056

Standard No.: 10.1007/978-981-96-3105-6doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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