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Machine Intelligence for Research and Innovations : Proceedings of MAiTRI 2024, Volume 1 / edited by Om Prakash Verma, Lipo Wang, Rajesh Kumar, Anupam Yadav, Ranjeet Kumar Rout.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Varmā, Oma Prakāśa.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1515
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Natural language processing (Computer science).
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Machine learning.
- Computational Intelligence.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Machine Learning.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Machine Learning.
- Physical Description:
- 1 online resource (693 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2024 Summit), held at National Institute of Technology Srinagar, India during 21 – 23 June 2024. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
- Contents:
- An Empirical Analysis on the effect of different parameters in training a Generative Adversarial Network to produce realistic images
- An Experimental Study of AI-Inspired Optimization Algorithms for Automated Test Case Generation
- Analysis of Crop Production in Uttar Pradesh through Machine Learning
- To Predict Diabetic Diseases complication using Machine Learning
- Smart Face Generation Using Deep Convolutional Generative Adversarial Networks.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9687-99-3
- 9789819687992
- OCLC:
- 1572096383
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