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Innovations in Data Analytics : Selected Papers of ICIDA 2024, Volume 2 / edited by Abhishek Bhattacharya, Soumi Dutta, Paramartha Dutta, Kanendra Naidu Vijyakumar.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Bhattacharya, Abhishek.
Contributor:
Dutta, Soumi.
Dutta, Paramartha.
Vijyakumar, Kanendra Naidu.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1409
Language:
English
Subjects (All):
Computational intelligence.
Image processing--Digital techniques.
Image processing.
Computer vision.
Data protection.
Telecommunication.
Computational Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Data and Information Security.
Communications Engineering, Networks.
Local Subjects:
Computational Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Data and Information Security.
Communications Engineering, Networks.
Physical Description:
1 online resource (737 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India during 18–19 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. The work is presented in three volumes.
Contents:
Kannada Character Recognition: Integrating Deep Learning and Classical Machine Learning Techniques
InceptionNet-Enhanced Deep Learning Framework for ECG Arrhythmia Classification.-Malware Detection System Using Machine Learning and Deep Learning.-Efficient U-Net for insightful Lung Cancer Diagnosis
Chronic Disease Diagnosis Using Multi-modal Transfer Learning Model.-Implication of AI in Women's Rights under Personal Laws in India
Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach
Comparative Analysis of Real and AI-generated Synthetic Images for Classification Tasks: A Deep Learning Approach
Etc .
ISBN:
981-9663-00-8
OCLC:
1545002616

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