Hidden Bibliographic Details
| Varying Form of Title: | SocProS 2019
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| Other authors / contributors: | Nagar, Atulya K.
Deep, Kusum.
Bansal, Jagdish Chand.
Das, Kedar Nath.
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| ISBN: | 9789811532870
9811532877
9789811532863
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| Notes: | Description based upon print version of record.
4.1 Image Enhancement
Includes author index.
References -- Using Convolutional Neural Networks to Predict Colon Cancer Patients Survival -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Set and Patient Cohorts -- 2.2 Training Neural Networks -- 2.3 Whole Slide Image Analysis -- 2.4 Quantification -- 2.5 Survival Analysis -- 3 Results -- 3.1 Tissue Region Classification -- 3.2 Whole Slide Image Analysis -- 3.3 Survival Analysis -- 4 Discussion and Conclusion -- References -- An Array P System Based on a Variant of Pure 2D Context-Free Grammars -- 1 Introduction -- 2 Preliminaries
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| Summary: | This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods.
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| Other form: | Print version: Nagar, Atulya K. Soft Computing for Problem Solving 2019 : Proceedings of SocProS 2019, Volume 2 Singapore : Springer,c2020 9789811532863
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| Standard no.: | 10.1007/978-981-15-3
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