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25 Events That Shaped Asian American History - - Bog - Bloomsbury Publishing Plc - Plusbog.dk

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry - Manan (pandit Deendayal Petroleum Uni Shah - Bog -

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry - Manan (pandit Deendayal Petroleum Uni Shah - Bog -

Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today’s world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations. This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.

DKK 884.00
1

Multilevel Modeling of Secure Systems in QoP-ML - Bogdan Ksiezopolski - Bog - Apple Academic Press Inc. - Plusbog.dk

Multilevel Modeling of Secure Systems in QoP-ML - Bogdan Ksiezopolski - Bog - Apple Academic Press Inc. - Plusbog.dk

In order to perform effective analysis of today’s information security systems, numerous components must be taken into consideration. This book presents a well-organized, consistent solution created by the author, which allows for precise multilevel analysis of information security systems and accounts for all of the significant details. Enabling the multilevel modeling of secure systems, the quality of protection modeling language (QoP-ML) approach provides for the abstraction of security systems while maintaining an emphasis on quality protection. This book introduces the basis of the QoP modeling language along with all the advanced analysis modules, syntax, and semantics. It delineates the steps used in cryptographic protocols and introduces a multilevel protocol analysis that expands current understanding. - - Introduces quality of protection evaluation of IT Systems - Covers the financial, economic, and CO 2 emission analysis phase - Supplies a multilevel analysis of Cloud-based data centers - Details the structures for advanced communication modeling and energy analysis - Considers security and energy efficiency trade-offs for the protocols of wireless sensor network architectures - Includes case studies that illustrate the QoP analysis process using the QoP-ML - Examines the robust security metrics of cryptographic primitives - Compares and contrasts QoP-ML with the PL/SQL, SecureUML, and UMLsec approaches by means of the SEQUAL framework - The book explains the formal logic for representing the relationships between security mechanisms in a manner that offers the possibility to evaluate security attributes. It presents the architecture and API of tools that ensure automatic analysis, including the automatic quality of protection analysis tool (AQoPA), crypto metrics tool (CMTool), and security mechanisms evaluation tool (SMETool). The book includes a number of examples and case studies that illustrate the QoP analysis process by the QoP-ML. Every operation defined by QoP-ML is described within parameters of security metrics to help you better evaluate the impact of each operation on your system''s security.

DKK 884.00
1

Harry Potter 1-7 - 25 års jubilæumsudgaver i bokssæt - J. K. Rowling - Bestseller - Bog - - Plusbog.dk

The SEND Code of Practice 0-25 Years - Rona Tutt - Bog - Sage Publications Ltd - Plusbog.dk

Xplore Natur/teknologi 5 Elevhæfte - Pakke á 25 stk. - Per Nordby Jensen - Bog - GO Forlag - Plusbog.dk

Xplore På tværs Elevhæfte - Pakke a 25 stk. - Poul Kristensen - Bog - GO Forlag - Plusbog.dk

Atlasøvelser GO Atlas mellemtrinnet 2. udgave - pk 25 ex. - Poul Kristensen - Bog - GO Forlag - Plusbog.dk

Author and Subject Indexes to Volumes 25–34, Literature 1979–1983 - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Author and Subject Indexes to Volumes 25–34, Literature 1979–1983 - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Astronomy and Astrophysics Abstracts aims to present a comprehensive documen- tation of the literature concerning all aspects of astronomy, astrophysics, and their border fields. It is devoted to the recording, summarizing, and indexing of relevant publications throughout the world. Astronomy and Astrophysics Abstracts is pre- pared by a special department of the Astronomisches Rechen-Institut under the auspices of the International Astronomical Union. Volume 35/36 - the third Cumulative Index of Astronomy and Astrophysics Ab- stracts - comprises Author and Subject Indexes to Volumes 25-34. Thus, the astronomical and astrophysical literature of the five-year period 1979-1983 is covered by this volume. It is a pleasure to express our gratitude to Ms. Dietlinde Krahn, Ms. Anna Schmadel, Mr. Gernot Burkhardt, Mr. Vladimir R. Matas, Mr. Martin Schlotel- burg, Mr. Ulrich Uberall and Mr. Gert Zech for their kind support during the detailed preparation steps of the indexes. Heidelberg, May 1984 Inge Heinrich Lutz D. Schmadel Introduction This third Cumulative Index of Astronomy and Astrophysics Ab- The Author Index contains all authors, co-authors and editors of stracts aims to present a concise collection of author names and publications abstracted in Volumes 25-34 and covered by the key words - the most important bibliographical items for litera- separate indexes. Efforts have been made to give the names of ture retrieval purposes. This Index, based on Volumes 25-34, Russian authors according to the following transliteration contains not only a simple compilation of index information but scheme.

DKK 1102.00
1

Atlasøvelser GO Atlas til overbygningen og gymnasiet – 2. udgave - 25 stk. - Poul Kristensen - Bog - GO Forlag - Plusbog.dk

Intelligent Technologies and Applications - - Bog - Springer International Publishing AG - Plusbog.dk

Machine Learning in Healthcare and Security - - Bog - Taylor & Francis Ltd - Plusbog.dk

Deep Eutectic Solvents in Liquid-Liquid Extraction - Nabendu (indian Inst. Of Tech. Guwahati Paul - Bog - Taylor & Francis Ltd - Plusbog.dk

Sustainable Farming through Machine Learning - - Bog - Taylor & Francis Ltd - Plusbog.dk

Sustainable Farming through Machine Learning - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book explores the transformative potential of machine learning (ML) technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices. Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry. It discusses the challenges faced by the agricultural sector and how AI/ML can address them. The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture. It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency. The authors also cover applications in livestock management, including feed formulation and disease detection; they also explore the use of AI/ML for behavior analysis and welfare assessment in livestock. Finally, the authors also explore the ethical and social implications of using such technologies. This book can be used as a textbook for students in agricultural engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in machine learning, and deep learning working on sustainable agriculture applications.

DKK 995.00
1