Saranya k (129 resultados)

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Condición: New. pp. viii + 334 + [1] Illus.

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Condición: New. pp. viii + 334 + [1].

Condición: New. pp. viii + 334 + [1].

Hardcover. Condición: New. ISBN:9788119105649.

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Paperback. Condición: Brand New. 66 pages. 6.00x0.15x9.00 inches. In Stock.

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Hardcover. Condición: As New. Dust Jacket Included. Contents Preface I Basic microbiology 1 Introduction 2 History of microbiology 3 Bacterial morphology 4 Microbial staining 5 Classification of bacteria 6 Nutritional types of bacteria 7 Bacteria; growth 8 Nutritional requirements for the growth of bacteria 9 Conditions for growth of bacteria 10 Microbial control 11 Microbial metabolism II Soil microbiology 12 Introduction and importance of soil microbiology 13 Factors affecting microbial activities in soil 14 Rhizosphere and its importance 15 Microbial interactions in soil 16 Nutrient cycling 17 Nitrogen cycle 18 Microbial transformation of P and sulphur 19 Biofertilizers and their importance III Industrial microbiology 20 Definition and scope of industrial microbiology 21 Historical development of industrial microbiology 22 Types of fermentation processes 23 Stages of industrial processes 24 Industrial production of pharmaceuticals 25 Industrial production of organic acids 26 Production of microbial enzymes 27 Industrial production of aminoacids solvents and vitamins 28 Fermented foods - alcoholic beverages 29 Fermented foods - dairy products 30 Fermented foods - cereal products and others 31 Microbes and food - single cell protein 32 Microbiology of food canning 33 Biofuels alcohols hydrogen and methane 34 Microbiology of potable water Selected referencesIn this 21 century microbiology is emerging as the key biological science as it has a paramount range of application in agriculture and industrial science that yields more economic returns and sounds more wealthy and green Microbiology is therefore taught to the students all over the world Agricultural and industrial microbiology is taught as one of the important subject to the undergraduate and postgraduate students in agricultural universities under their usual curriculum Therefore in order to benefit the students this book is written to discuss the basics of microorganisms and give insight coverage of the various aspects of agricultural and industrial microbiologyThe subject matter in this textbook is basic and more information is presented pertaining to Agricultural and Industrial Microbiology jacket 338 pp.…

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Taschenbuch. Condición: Neu. Design and Implementation of Reversible Vedic Division by Direct Flag | Saranya K. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206780274 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Condición: Neu. Evolution in the concept of adhesive dentistry | K. Naga Sai Saranya (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209206849 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Neuware - Natural Language Processing in Healthcare Informatics: Challenges and Future Directions is an exploration into the transformative role of NLP and AI technologies in modern healthcare systems. The book delves into foundational concepts, advanced deep learning techniques, and cutting-edge applications of NLP in clinical decision support, electronic health record analysis, medical literature mining, patient-provider communication, and personalised medicine. Structured across ten detailed chapters, the volume covers both theoretical foundations and practical implementations. Early chapters introduce AI and NLP in healthcare, highlighting applications in telehealth, wearable technologies, robotic surgery, and FDA-approved AI devices. Subsequent chapters examine challenges unique to healthcare NLP, including data quality and standardisation, linguistic variability, computational limitations, and ethical considerations such as bias, transparency, and patient privacy. The book also provides in-depth insights into deep learning approaches for medical text analysis, preprocessing and annotation strategies, the evaluation of large language models for RNA interactions, and the application of Bi-LSTM architectures for advanced healthcare NLP tasks. Innovative chapters explore the role of knowledge graphs in rare disease prediction, AI and ML for focused ultrasound treatments, mathematical modelling using fuzzy numbers for healthcare NLP trends, and AI/ML integration in drug discovery and personalised medicine. Key Features: -Detailed discussions and case studies on the applications of AI and NLP in healthcare, including telehealth, EHR analysis, and medical imaging.-In-depth coverage of challenges in healthcare NLP encompassing data quality, linguistic variability, computational requirements, and ethical considerations.-Explores deep learning techniques: RNNs, CNNs, Transformers, Bi-LSTM, and their application to medical text.-Gives practical guidance on data preprocessing, annotation, and evaluation for healthcare NLP tasks.-Provides insight into emerging trends by integrating theoretical concepts with real-world implementations, coding examples, and model workflows in Python and MATLAB.…

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