mm islam (22 Ergebnisse)

Zustand: New. pp. 124.

Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Good. First Edition. Hardcover with very slightly bumped spine ends. Cloth boards are marked. Board's leading corners are bumped. Pages are clean, binding is sound, and text remains clear throughout. Dust jacket has lightly bumped spine ends and some superficial scores at front and back. Choice of Technology series. T. Used.

Zustand: New. pp. 88.

Zustand: New. pp. v + 77.

Paperback. Zustand: Brand New. 142 pages. 6.00x0.32x9.00 inches. In Stock.

Zustand: New. In.

20pp. 20.5 x 14.5cm. From the library of Professor A.L. Basham with his handwritten title on the spine, two light vertical creases on leaves and original stapled wrappers, a good copy.

Taschenbuch. Zustand: Neu. Oestrus Synchronization in Indian Goats | Buck Effect vis-a-vis Hormonal Protocol | M. M. Islam (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659236846 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Kartoniert / Broschiert. Zustand: New. Mohammed M. Islam is R&D Manager of Applied Science at Northrop Grumman Ship Systems. He has forty-five years of diversified shipboard electrical engineering experience and has played significant roles in every part of new shipbuilding and ship modernizatio.

Gebunden. Zustand: New. KlappentextThe only book that covers fundamental shipboard design and verification concepts from individual devices to the system level Shipboard electrical system design and development requirements are fundamentally differ.

Kartoniert / Broschiert. Zustand: New. Klappentext Explains IEEE 45-2002 recommendations, its history, and the changes from the previous 1998 version --P. [4] of cover.

Zustand: New. pp. 624.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Artificial Intelligence for Smart Manufacturing and Industry X.0 | M. M. Manjurul Islam (u. a.) | Taschenbuch | Springer Series in Advanced Manufacturing | Englisch | 2026 | Springer | EAN 9783031801563 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

Einband - fest (Hardcover). Zustand: New.

Zustand: New.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a foundational understanding of smart manufacturing (SM) and introduces effective AI methods tailored for smart manufacturing, including supervised, unsupervised, and reinforcement learning techniques. It also features real-world industrial case studies that demonstrate the practical applications of smart manufacturing.Drawing from the invaluable experiences gleaned from the aviation, healthcare, and semiconductors industries, this book provides an in-depth understanding of how AI is driving transformative changes in the manufacturing landscape.In the era of rapid technological advancements, the integration of AI into manufacturing processes has emerged as a game-changer. This book serves as an indispensable guide for navigating this transformation, presenting readers with a multidimensional perspective on the diverse applications, challenges, and opportunities that AI brings to the manufacturing sector.The book explores the emergence of Large Language Models (LLMs) as a valuable tool in manufacturing. It presents how LLMs, especially the GPT series, can process and generate textual data, offering potential applications in areas like smart manufacturing and big-data analysis. It contains detailed case studies, illustrating the practical implementation of smart manufacturing in different industries. The aviation, healthcare, automotive, and semiconductors sectors are examined, highlighting tangible benefits, challenges faced, and lessons learned from each domain.The book addresses the future prospects of Industry 4.0 and beyond the interconnected, data-driven evolution of manufacturing. It examines the potential impact of emerging technologies such as the Industrial Internet of Things (IIoT), 5G, and advanced robotics on the manufacturing landscape. Challenges and future possibilities pertaining to research and advancement in smart manufacturing within the domains of Aviation, Semiconductors, and Healthcare sectors are also discussed.The chapters are written in a tutorial style to allow early-career researchers and industry practitioners an in-depth understanding of the various topics. The book serves as a reference for researchers, engineers, and students seeking to understand the synergy between AI, Industry 4.0, LLMs, and real-world applications.

Zustand: New. M. R. Islam, Ph.D. is the President of Emertec Research and Development Ltd. and an adjunct Professor at Dalhousie University, where he was Canada s first Killam Chair in petroleum engineering from 2000 to 2005. Prior to this, Professor Islam was the first .

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a foundational understanding of smart manufacturing (SM) and introduces effective AI methods tailored for smart manufacturing, including supervised, unsupervised, and reinforcement learning techniques. It also features real-world industrial case studies that demonstrate the practical applications of smart manufacturing.Drawing from the invaluable experiences gleaned from the aviation, healthcare, and semiconductors industries, this book provides an in-depth understanding of how AI is driving transformative changes in the manufacturing landscape.In the era of rapid technological advancements, the integration of AI into manufacturing processes has emerged as a game-changer. This book serves as an indispensable guide for navigating this transformation, presenting readers with a multidimensional perspective on the diverse applications, challenges, and opportunities that AI brings to the manufacturing sector.The book explores the emergence of Large Language Models (LLMs) as a valuable tool in manufacturing. It presents how LLMs, especially the GPT series, can process and generate textual data, offering potential applications in areas like smart manufacturing and big-data analysis. It contains detailed case studies, illustrating the practical implementation of smart manufacturing in different industries. The aviation, healthcare, automotive, and semiconductors sectors are examined, highlighting tangible benefits, challenges faced, and lessons learned from each domain.The book addresses the future prospects of Industry 4.0 and beyond the interconnected, data-driven evolution of manufacturing. It examines the potential impact of emerging technologies such as the Industrial Internet of Things (IIoT), 5G, and advanced robotics on the manufacturing landscape. Challenges and future possibilities pertaining to research and advancement in smart manufacturing within the domains of Aviation, Semiconductors, and Healthcare sectors are also discussed.The chapters are written in a tutorial style to allow early-career researchers and industry practitioners an in-depth understanding of the various topics. The book serves as a reference for researchers, engineers, and students seeking to understand the synergy between AI, Industry 4.0, LLMs, and real-world applications.

Buch. Zustand: Neu. Neuware - This book provides the essential information necessary for students in the life and health sciences. The book adopts a readable, student-friendly style that helps introduce students to this fascinating and often-times daunting subject. Each chapter begins with a summary of essential facts followed by descriptions of the subjects that focus on core information with clear, simple diagrams that are easy for students to understand and recall in essays. The extensive use of cross-referencing makes it possible for students to return to individual sections for review purposes without difficulty. Whether students interests lie in biological, chemical, or medical aspects of biochemistry and molecular biology, the book will help make students able, excited, and eager to read more widely and more deeply on this engaging subject. This important new book not only covers an extensive set of topics of current and special interest, but includes more traditional areas in biochemistry as well. Covering a wide range of topics, from classical biochemistry to proteomics and genomics, it also details the properties of commonly used biochemicals, laboratory solvents, and reagents. Coverage is expanded to include a section on stem cells, chapters on immunochemical techniques and spectroscopy techniques, and additional chapters on drug discovery and development, and clinical biochemistry. Moreover, a number of techniques used in molecular biology, for example, molecular cloning, gel electrophoresis, polymerase chain reaction, microarrays, etc. are also explained with practical examples. It also includes some of the vital pieces of work being conducted across the world, on various topics related to molecular biology. Through it, we attempt to further enlighten the readers about the new concepts in this field. Altogether, presented in an organised, concise, and simple-to-use format, 'Trends in Biochemistry and Molecular Biology' allows quick access to the most frequently used data. There is an emphasis on biological aspects of biochemistry and new topics are introduced in their biological context wherever possible. Experimental design and the statistical analysis of data are emphasised at the end to ensure students are equipped to successfully plan their own experiments and examine the results obtained.

Zustand: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9781536164343.

Hardcover. Zustand: Very Good. 605 pages in very good condition. Pages are clean and unmarked with black and white illustrations throughout. Some pages are creased at the corners. Page edges are lightly smudged. Bound in green hardcovers with white titles. Lighlty worn around the edges. VG. Book.