Verma Nitin (82 results)

Condition: New. pp. 124.

Paperback. Condition: Brand New. 55 pages. 9.00x6.00x0.14 inches. In Stock.

Condition: New.

Paperback or Softback. Condition: New. Odyssey: A Jump Into Life. Book.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Paperback. Condition: Brand New. 124 pages. 5.00x0.29x8.00 inches. In Stock.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 296 1st Edition.

Condition: New. pp. 296.

Condition: New. Print on Demand pp. 124.

Taschenbuch. Condition: Neu. Neuware - None of your dreams are bigger than you. Age is no bar to fulfill a dream. This book and its story is meant for all those people who believe they are victims of situation and life. Each one of us have the potential and capability to change our life the day we want, whenever we want, provided one believes in oneself.…

Condition: New. PRINT ON DEMAND pp. 124.

Condition: New.

Taschenbuch. Condition: Neu. Improving Risk Assessment through Procedural Changes | Nitin Verma | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202667968 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Condition: Neu. Evaluation of Hepatoprotective Effects of Costus Speciosus Rhizomes | Evaluation of Protective Effects of Ethanolic Extract of Costus Speciosus Rhizomes on Carbon Tetrachloride Induced Hepatotoxicity in Rats | Nitin Verma (u. a.) | Taschenbuch | 64 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838324579 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. Comparative study of Mandibular nerve block techniques | Direct Conventional with Akinosi-Vazirani technique | Nitin Verma (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659134319 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Paperback. Condition: Brand New. 64 pages. 8.50x5.70x0.30 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware - Neurological diseases pose major challenges, as traditional diagnostic methods often lack the sensitivity, specificity and speed needed for early intervention. Recent advances in biosensor and biomarker research have opened new opportunities for diagnosing, monitoring and understanding the mechanisms behind neurological disorders. This book offers a comprehensive overview of current biosensor technologies and their applications in neurology, bridging technological innovation with practical clinical challenges. It highlights how biosensors and biomarkers can improve early detection, continuous tracking and personalized management of neurological conditions. Key Features: -Comprehensive overview of biosensor technology in neurological diagnostics.-Bridges biosensing innovation with real-world clinical applicability.-Explores early detection, continuous monitoring and personalized treatment.-Covers underlying disease mechanisms alongside diagnostic advancements.-Encourages interdisciplinary collaboration across research fields. …

Paperback. Condition: new. Paperback. Extreme Learning Machine for Online Data Classification provides an accessible introduction to the principles, algorithms, and practical concepts behind Extreme Learning Machine (ELM) for online data classification. As machine learning applications increasingly rely on continuously generated data streams, efficient learning methods capable of rapid training and accurate classification have become essential. This book examines how Extreme Learning Machine techniques address these challenges through fast learning algorithms designed for dynamic and evolving datasets.The book introduces the theoretical foundations of Extreme Learning Machine before exploring its role in online learning environments where data arrives continuously and models must adapt efficiently. It discusses the characteristics of online data classification, the importance of computational efficiency, and the practical considerations involved in developing scalable machine learning systems. Readers are introduced to concepts related to incremental learning, adaptive classification, and the performance characteristics that distinguish ELM from many traditional machine learning methods.Designed for engineering and computer science audiences, the book presents machine learning concepts in a structured and organized manner suitable for academic study, professional reference, and self-learning. The material emphasizes the relationship between learning algorithms, computational performance, and classification accuracy while providing a clear overview of Extreme Learning Machine methodologies used for processing continuously evolving datasets.The discussion also places Extreme Learning Machine within the broader field of artificial intelligence and data mining, highlighting its relevance for intelligent systems that require fast model training and efficient prediction. The content serves as a useful resource for understanding the theoretical principles that support modern online classification techniques while maintaining a practical engineering perspective.Suitable for undergraduate and graduate students, researchers, instructors, software engineers, data scientists, and professionals interested in machine learning, this book offers a concise reference to the concepts, terminology, and methodologies associated with Extreme Learning Machine for online data classification. Its focus on computational efficiency, adaptive learning, and intelligent classification makes it valuable for readers seeking a practical understanding of fast machine learning algorithms and their role in modern data-driven applications. This book introduces Extreme Learning Machine (ELM) techniques for online data classification, covering the theoretical foundations, learning algorithms, computational efficiency, and practical machine learning concepts. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. In English.

Condition: New. In English.

Condition: New.