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230505 ||| eng |
| 020 |
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|a 9789811980947
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| 100 |
1 |
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|a Thampi, Sabu M.
|e [editor]
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| 245 |
0 |
0 |
|a International Symposium on Intelligent Informatics
|h Elektronische Ressource
|b Proceedings of ISI 2022
|c edited by Sabu M. Thampi, Jayanta Mukhopadhyay, Marcin Paprzycki, Kuan-Ching Li
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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| 300 |
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|a XVIII, 506 p. 214 illus., 174 illus. in color
|b online resource
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| 505 |
0 |
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|a Part 1: Artificial Intelligence and Machine Learning -- Chapter 1. DCLL - A Deep Network for Possible Real-time Decoding of Imagined Words -- Chapter 2. Towards Frugal Artificial Intelligence: Exploring neural network pruning and binarization -- Chapter 3. Practical Implications of Dequantization on Machine Learning Algorithms: A Survey -- Chapter 4. Encoder-Decoder Network with Guided Transmission Map: Robustness and Applicability -- Chapter 5. Development of NN-based Ball Bearing Fault Diagnosis Techniques -- Chapter 6. A data analytics-based study on campaigns and hashtags movements related to the production of fashion goods -- Chapter 7. Gradual Search and Fixed Grouping Scheme based Variant of Genetic Algorithm for Large Scale Global Optimization -- Chapter 8. Generalized symbolic dynamics weighted network prediction of chaotic time series -- Chapter 9. Automated Reduction of Detailed Biophysical Cerebellar Neurons to Izhikevich Neurons+D14 -- Chapter 10. Segmentation Approach for Nucleus Cytoplasm of Ewing sarco -- Chapter 11. Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification -- Part 2: Natural Language Processing -- Chapter 12. Abstractive Text Summarization of Hindi Corpus using Transformer Encoder-Decoder Model -- Chapter 13. Automatic Text Classification for Web-based Malayalam Documents -- Chapter 14. Question and Answer Generation from Text using Transformers -- Chapter 15. A Comparative Study of Spam SMS Detection using various Supervised Machine Learning Algorithms. etc.
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| 653 |
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|a Computer vision
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| 653 |
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|a Internet of things
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computer Vision
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Internet of Things
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Natural Language Processing (NLP)
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| 653 |
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|a Signal processing
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| 653 |
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|a Natural language processing (Computer science)
|
| 700 |
1 |
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|a Mukhopadhyay, Jayanta
|e [editor]
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| 700 |
1 |
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|a Paprzycki, Marcin
|e [editor]
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| 700 |
1 |
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|a Li, Kuan-Ching
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Smart Innovation, Systems and Technologies
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| 028 |
5 |
0 |
|a 10.1007/978-981-19-8094-7
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-8094-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 621,382
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| 520 |
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|a This book constitutes thoroughly refereed post-conference proceedings of the 7th International Symposium on Intelligent Informatics (ISI 2022), from August 31 to September 1–2, 2022, Trivandrum, India. The revised papers presented are carefully reviewed and selected from several initial submissions. The scope of the Symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics
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