Pathak suraj (30 risultati)
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Taschenbuch. Condizione: Neu. Phase change memory in Relational Database | Suraj Pathak | Taschenbuch | 84 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659145865 | 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. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact of cl…imate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices.One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment.Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use.The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability.Overall, 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet.
Lingua: Inglese
Editore: Springer Nature, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 300 pages. 9.25x6.10x9.21 inches. In Stock.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Phase Change Memory(PCM) is a new form of Non-volatile memory that has advantages like read access almost as close to a DRAM, write speed about 100 times faster than traditional hard disks and flash SSD, and cell density about 10 t…imes better than any kind of storage devices available today. With these advantages, it is feasible that PCM could be the future of data storage as it has the potential to replace both secondary storage and main memory. In this thesis, we study the current status of PCM in the memory hierarchy, its characteristics , advantages and challenges in implementing the technology. Specifically, we study how the byte-writeable PCM can be used as a buffer for flash SSD to improve its write efficiency. Then in the second part, we study how traditional relational database management should be altered for a database completely implemented in PCM. Specifically, we study this effect by choosing hash-join algorithm. The experiments are carried out in a simulated environment, by modifying a DRAM to act as a PCM. We use postgreSQL database for relational database experiment. The results show that PCM has many benefits in the current memory hierarchy. 84 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Yeh kahaani hai ek aisi ladki ki jise sapne to bahut saare dikhaye jate hai par uski saari khwaahishe adhuri rah jaati hai. Family ke liye wo apni saari khushiyo ko sacrifice kar deti hai. Har baar usey bas apni life me compromise karni… padti hai.Yah ek chhoti si journey hai Aarvi ki aur shayad Aarvi jaisi har ek ladki ki jinhe .
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Is It Easy ? | A story of compromise of love,carrier and dreams for family (Hinglish Edition) | Suraj Pathak | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Notion Press | EAN 9781639579686 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[…dot]de | Anbieter: preigu Print on Demand.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pathak SurajSuraj went to Harbin Institute of Technology where he majored in Computer Science. After graduating in 2008, he went to National University of Singapore for masters degree. Suraj did three-…year-research mainly in emerging.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Phase Change Memory(PCM) is a new form of Non-volatile memory that has advantages like read access almost as close to a DRAM, write speed about 100 times faster than traditional hard disks and flash SSD, and cell density about 10 times… better than any kind of storage devices available today. With these advantages, it is feasible that PCM could be the future of data storage as it has the potential to replace both secondary storage and main memory. In this thesis, we study the current status of PCM in the memory hierarchy, its characteristics , advantages and challenges in implementing the technology. Specifically, we study how the byte-writeable PCM can be used as a buffer for flash SSD to improve its write efficiency. Then in the second part, we study how traditional relational database management should be altered for a database completely implemented in PCM. Specifically, we study this effect by choosing hash-join algorithm. The experiments are carried out in a simulated environment, by modifying a DRAM to act as a PCM. We use postgreSQL database for relational database experiment. The results show that PCM has many benefits in the current memory hierarchy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Phase Change Memory(PCM) is a new form of Non-volatile memory that has advantages like read access almost as close to a DRAM, write speed about 100 times faster than traditional hard disks and flash SSD, and cell density about 10 times…better than any kind of storage devices available today. With these advantages, it is feasible that PCM could be the future of data storage as it has the potential to replace both secondary storage and main memory. In this thesis, we study the current status of PCM in the memory hierarchy, its characteristics , advantages and challenges in implementing the technology. Specifically, we study how the byte-writeable PCM can be used as a buffer for flash SSD to improve its write efficiency. Then in the second part, we study how traditional relational database management should be altered for a database completely implemented in PCM. Specifically, we study this effect by choosing hash-join algorithm. The experiments are carried out in a simulated environment, by modifying a DRAM to act as a PCM. We use postgreSQL database for relational database experiment. The results show that PCM has many benefits in the current memory hierarchy.
Lingua: Inglese
Editore: Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Editore: Springer, 2025
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Editore: Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives is an essential read for anyone interested in the future of agriculture and the role that technology can… play in mitigating the impact of cl.
Lingua: Inglese
Editore: Springer, Springer Aug 2024, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 181,89
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating…the impact of climate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices.One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment.Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use.The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability.Overall, 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet. 312 pp. Englisch.
Lingua: Inglese
Editore: Springer, Birkhäuser Aug 2024, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 181,89
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the…impact of climate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices.One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment.Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use.The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability.Overall, 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Editore: Springer, 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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