Pramod kumar yadav (44 Ergebnisse)

Soft cover. Zustand: New. Contents: 1. Role of Bioinformatics in Agriculture Sector/Bhavana Tandon, Abhijeet William Singh, Harika Annapragada, Neha Shree Maurya and Satendra Singh. 2. Recent Trends in 'Computational Transcriptomics'/Pramod Katara, Neelam Krishna, Anamika Yadav,Vibha Raj Shanti and Budhayash Gautam. 3. Chemoinformatics: An Overview, Current Status and Future Prospects/Harika Annapragada, Neha Shree Maurya, Bhavana Tandon, Abhijeet William Singh, Ajay Kumar Singh, Pramod Kumar Yadav, Satendra Singh and Dhirendra Kumar. 4. Microarray Data Analysis in Agri-Informatics/Nivedita, Budhayash Gautam, Dhirendra Kumar and Pramod Kumar Yadav. 5. Next Generation Sequencing : An Insilco Approaches for Genomic and Proteomics Data Analysis/Kavita Goswami, Neeti Sanan Mishra, Budhayash Gautam and Vibha Raj Shanti. 6. Database Resources for Medical and Health Science Research/Anil Kumar and Praffulla Kumar Arya. 7. Bioinformatics Approaches in Tomato Genome Studies/Gitanjali Tandon, Neha Shree Maurya, Bhavana Tandon Pramod Kumar Yadav, Satendra Singh and Vibha Raj Shanti. This book broadly highlights about the bioinformatics in agriculture sector, chemoinformatics, database resources for medical and health science researches. This book includes important chapters regarding Microarray data analysis in Agri-Informatics, Next generation sequencing, bioinformatics approaches in tomato genome studies, etc. The coverage of this book will enable reader to update his/her knowledge about bioinformatics concepts as well as applications in different sectors.…

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Paperback. Zustand: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: New. The conference aimed to provide a platform for researchers, scientists, technocrats, academicians and engineers to exchange their innovative ideas and new challenges being faced in the field of emerging technologies. It provided an opportunity to exchange ideas among global leaders and experts from academia and industry in developing domains such as machine learning, intelligence systems, smart infrastructure, advanced power technology, and so forth. It covered all broad disciplines of electronics, computer, physical and chemical science engineering.…

Taschenbuch. Zustand: Neu. Assessment of Forest Fragmentation and Wildlife Corridor | A Case Study of Kanha-Pench and Nagzira-Navegaon Corridors of Central India | Pramod Kumar Yadav | Taschenbuch | 104 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659504105 | 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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Paperback. Zustand: Brand New. 554 pages. 11.00x8.25x11.00 inches. In Stock.

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Zustand: New. In English.

Zustand: New. In English.

Gebundene Ausgabe. Zustand: Neu. The book examines the market reaction to mergers and acquisitions (M&A) announcements over a period from 2003 to 2015. Mergers and acquisitions continue to be amongst the preferred competitive options available to the companies seeking to grow fast in the rapidly changing global business scenario.M&A as a growth strategy has received attention from developed as well as emerging economies. It has been extensively used by managers as an expansion strategy and also serves as an important instrument for increasing corporate efficiency. Recently, M&A has grown at a rapid pace, creating a need for research to analyze what drives this phenomenon and how it affects firms and markets. As such, this book evaluates the impact of M&A on short-term abnormal returns as well long-term financial performance. It also assesses the management view concerning the motives for undertaking M&A. In addition, the book investigates the corporate governance practices of the acquiring firms and their impact on the short- term as well as long- term performance of those firms. Sprache: Englisch Gewicht in Gramm: 548.…

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Paperback. Zustand: New. The conference aimed to provide a platform for researchers, scientists, technocrats, academicians and engineers to exchange their innovative ideas and new challenges being faced in the field of emerging technologies. It provided an opportunity to exchange ideas among global leaders and experts from academia and industry in developing domains such as machine learning, intelligence systems, smart infrastructure, advanced power technology, and so forth. It covered all broad disciplines of electronics, computer, physical and chemical science engineering.…

Hardcover. Zustand: Brand New. 300 pages. 9.26x6.11x9.49 inches. In Stock.

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Zustand: New. 2025. 1st Edition. hardcover. . . . . .

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book bridges the gap between conventional materials science and emerging data-driven methodologies, highlighting the integration of AI, machine learning, and deep learning technologies to enhance the design, analysis, and optimization of smart materials. It provides a holistic perspective essential for researchers, engineers, and students exploring the intersection of materials engineering and AI technologies.The book examines the connection between recent advancements in materials science and multiscale machine learning, facilitating predictive and prescriptive modeling for assessing material behavior based on composition, structure, and processing. It includes comprehensive discussions on smart material design, optimization, complexity analysis, and advanced computational methods for synthesizing and characterizing materials. Challenges in multiscale modeling, such as biologically inspired material design and the influence of nanotechnology on current trends, are thoroughly explored.Emphasizing the critical role of multiscale machine learning and nanotechnology in creating sustainable smart materials, the book also addresses the ethical implications of this research. It discusses opportunities and challenges in biomaterials, particularly in healthcare and biomedical applications, and anticipates future trends in machine learning for sustainable materials design. The book provides insights into how predictive and prescriptive modeling through machine learning can accelerate the material discovery process, guiding researchers toward promising candidates for further exploration.Serving as a roadmap for researchers and scientists, this book offers valuable insights into innovative approaches that support the future of materials science.…

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Zustand: New. Saiyed Salim Sayeed is working as an Associate Professor in the Department of Electronics and Communication Engineering at Institute of Technology and Management, Maharajganj, Uttar Pradesh, India. His research interest includes modelling, simulat.

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hardcover. Zustand: New. Special order direct from the distributor.

Gebundene Ausgabe. Zustand: Neu. This book bridges the gap between conventional materials science and emerging data-driven methodologies, highlighting the integration of AI, machine learning, and deep learning technologies to enhance the design, analysis, and optimization of smart materials. It provides a holistic perspective essential for researchers, engineers, and students exploring the intersection of materials engineering and AI technologies.The book examines the connection between recent advancements in materials science and multiscale machine learning, facilitating predictive and prescriptive modeling for assessing material behavior based on composition, structure, and processing. It includes comprehensive discussions on smart material design, optimization, complexity analysis, and advanced computational methods for synthesizing and characterizing materials. Challenges in multiscale modeling, such as biologically inspired material design and the influence of nanotechnology on current trends, are thoroughly explored.Emphasizing the critical role of multiscale machine learning and nanotechnology in creating sustainable smart materials, the book also addresses the ethical implications of this research. It discusses opportunities and challenges in biomaterials, particularly in healthcare and biomedical applications, and anticipates future trends in machine learning for sustainable materials design. The book provides insights into how predictive and prescriptive modeling through machine learning can accelerate the material discovery process, guiding researchers toward promising candidates for further exploration.Serving as a roadmap for researchers and scientists, this book offers valuable insights into innovative approaches that support the future of materials science. Sprache: Englisch Gewicht in Gramm: 478.…

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

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Zustand: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: New.