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Record Nr. |
UNINA9911022164103321 |
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Autore |
Bhattacharya Abhishek |
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Titolo |
Innovations in Data Analytics : Selected Papers of ICIDA 2024, Volume 3 / / edited by Abhishek Bhattacharya, Soumi Dutta, Amlan Chakrabarti, Thinagaran Perumal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (719 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1410 |
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Altri autori (Persone) |
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DuttaSoumi |
ChakrabartiAmlan |
PerumalThinagaran |
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Disciplina |
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Soggetti |
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Computational intelligence |
Image processing - Digital techniques |
Computer vision |
Data protection |
Telecommunication |
Computational Intelligence |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Data and Information Security |
Communications Engineering, Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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ZigZag Local Binary Pattern (ZZ-LBP): A novel local descriptor for Face Analysis in Unconstrained Conditions -- Development of Injectable Nano robots for Targeted Cancer Cell Destruction -- A Neural Network based Efficient Cluster Selection Mechanism for MANET -- Enhancing Well-Being Through Computational Emotion Analysis in Hindi Language Text.-Stock Price Prediction Using ARIMA with Option Chain Data and Technical Indicators.-Resource Scheduling Algorithm Based on Greedy Strategy in Green Cloud -- A Comprehensive Analysis on the Impact of Environmental and Technological Factors on CO2 Emissions Using Machine Learning and Explainable AI -- Etc. . |
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Sommario/riassunto |
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This book features research papers presented at the Third International |
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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. |
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