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1. |
Record Nr. |
UNINA9910137652003321 |
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Autore |
Hiroshi Hasegawa |
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Titolo |
Water Stress / / edited by Ismail Md. Mofizur Rahman, Hiroshi Hasegawa |
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Pubbl/distr/stampa |
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IntechOpen, 2012 |
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Rijeka, Croatia : , : IntechOpen, , 2012 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (314 pages) : illustrations |
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Disciplina |
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Soggetti |
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Plants - Effect of galactose on |
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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 bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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Plants experience water stress either when the water supply to their roots becomes limiting, or when the transpiration rate becomes intense. Water stress is primarily caused by a water deficit, such as a drought or high soil salinity. Each year, water stress on arable plants in different parts of the world disrupts agriculture and food supply with the final consequence: famine. Hence, the ability to withstand such stress is of immense economic importance. Plants try to adapt to the stress conditions with an array of biochemical and physiological interventions. This multi-authored edited compilation puts forth an all-inclusive picture on the mechanism and adaptation aspects of water stress. The prime objective of the book is to deliver a thoughtful mixture of viewpoints which will be useful to workers in all areas of plant sciences. We trust that the material covered in this book will be valuable in building strategies to counter water stress in plants. |
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2. |
Record Nr. |
UNINA9910631095403321 |
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Titolo |
Intelligent Data Engineering and Automated Learning – IDEAL 2022 : 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings / / edited by Hujun Yin, David Camacho, Peter Tino |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (564 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13756 |
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Disciplina |
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Soggetti |
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Data mining |
Database management |
Application software |
Computer networks |
Artificial intelligence |
Data Mining and Knowledge Discovery |
Database Management |
Computer and Information Systems Applications |
Computer Communication Networks |
Artificial Intelligence |
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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 bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Big Data Analytics -- Machine Learning & Deep Learning -- Data Mining -- Information Retrieval and Management -- Bio- and Neuro-Informatics -- Bio-Inspired Models (including Neural Networks, Evolutionary Computation and Swarm Intelligence) -- Agents and Hybrid Intelligent Systems -- Real-world Applications of Intelligent Techniques and AI. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, |
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during November 24-26, 2022. The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing. |
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