Machine Learning and Information Processing : Proceedings of ICMLIP 2019 / edited by Debabala Swain, Prasant Kumar Pattnaik, Pradeep K. Gupta.
Contributor(s): SpringerLink (Online service)
| Swain, Debabala, editor. | Pattnaik, Prasant Kumar, editor. | Gupta, Pradeep K, editor.
Material type:
E-bookSeries: (Advances in Intelligent Systems and Computing, 2194-5357; 1101); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore, 2020Edition: First edition 2020.Description: 1 recurso en línea (XVII, 537 páginas) : 229 ilustraciones, 141 ilustraciones a color.ISBN: 9789811518843.Subject: Aprendizaje automático -- Congresos y asambleas
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q325.5 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.23042076 |
Privacy Preservation in ROI of Medical Images using LSB Manipulation -- Novel Approach for Measuring Nutrition Values using Smartphone -- Detection of Hate-Speech in Hinglish language -- Abstractive Text Summarization and Unsupervised Text Classifier -- An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations and Future Directions -- Denoising Documents Using Image Processing For Digital Restoration -- Humming Based Song Recognition -- Non-Invasive Approach for Disease Diagnosis -- Alleviation of Safety measures in Underground coal mines using Wireless sensor network: A survey -- Critical Non-functional Requirements Modeling Profiler with meta-model semantics -- Retrieval of Ontological Knowledge from Unstructured Text.
This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing. .
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