The.Hottest

Karen Hansen, Kent Zenobia ... 744 pages - Publisher: Wiley; (April, 2011) ... Language: English - ISBN-10: 047043841X - ISBN-13: 978-0470438411.

There is a growing understanding that to be competitive at an international level, civil engineers not only must build on their traditional strengths in technology and science but also must acquire greater mastery of the business of civil engineering. Project management, teamwork, ethics, leadership, and communication have been defined as essential to the successful practice of civil engineering by the ASCE in the 2008 landmark publication, Civil Engineering Body of Knowledge for the 21st Century (BOK2). This single-source guide is the first to take the practical skills defined by the ASCE BOK2 and provide illuminating techniques, quotes, case examples, problems, and information to assist the reader in addressing the many challenges facing civil engineers in the real world. Civil Engineer's Handbook of Professional Practice: Focuses on the business and management aspects of a civil engineer's job, providing students and practitioners with sound business management principles + Addresses contemporary issues such as permitting, globalization, sustainability, and emerging technologies + Offers proven methods for balancing speed, quality, and price with contracting and legal issues in a client-oriented profession + Includes guidance on juggling career goals, life outside work, compensation, and growth. From the challenge of sustainability to the rigors of problem recognition and solving, this book is an essential tool for those practicing civil engineering.

Harsha Vardhan, Rajesh Kumar Bayar ... 168 pages - Publisher: CRC Press; (August, 2013) ... Language: English - ISBN-10: 1466582952 - ISBN-13: 978-1466582958.

Being knowledgeable about rock properties is vital to being effective in the design of blasts in mines, quarries and other construction projects. Without proper knowledge, the energy released during blasting can be underutilized, harm the environment, and may escalate costs. Rock Engineering Design: Properties and Applications of Sound Level aids scientists and practicing engineers in determining rock properties in a quick and precise way. It presents the basic concepts and principles on which sound level can be used in solving rock engineering design problems. Highlighting the importance of sound level in determining rock properties, the book focuses on the indirect method with emphasis on the development of numerical models in rock engineering design. Discusses determining rock property using sound levels produced during drilling + Explores the benefits of effective rock design applications + Helps students to develop an interest in using sound level as a tool in rock design applications. The book provides a general introduction to noise, its effect, and standards. It discusses the application of noise monitoring for mining equipment, the application of acoustic emission techniques in geotechnical fields, the equipment for drilling, measurement of sound, and the physico-mechanical properties of rocks. It also explores the process involved in the measurement of rock properties and sound level. This book summarizes in tables and figures the statistical values of the rock properties and sound level produced during the drilling of different rocks. It explains developed regression models, procedure, and the results of developed artificial neural network models. Rock Engineering Design: Properties and Applications of Sound Level includes a case study, and offers a summary and suggestions for further work.

Michael Sullivan ... 1168 pages - Publisher: Pearson; 10th edition (February, 2015) ... Language: English - ISBN-10: 0321979079 - ISBN-13: 978-0321979070.

Mike Sullivan’s time-tested approach focuses students on the fundamental skills they need for the course: preparing for class, practicing with homework, and reviewing the concepts. The Tenth Edition has evolved to meet today’s course needs.

Zhen-Yu Yin, Yin-Fu Jin ... 356 pages - Publisher: Springer; (April, 2019) ... Language: English - ASIN: B07R6CD27W by Amazon.

This book presents the development of an optimization platform for geotechnical engineering, which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

Zacharias Voulgaris, Yunus Emrah Bulut ... 312 pages - Publisher: Technics Publications; (September, 2018) ... Language: English - ASIN: B07HJDNZL2 by Amazon.

Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field of AI, and will learn when to use each framework to tackle projects in our increasingly complex world.  

The first two chapters introduce the field, with Chapter 1 surveying Deep Learning models and Chapter 2 providing an overview of algorithms beyond Deep Learning, including Optimization, Fuzzy Logic, and Artificial Creativity. The next chapters focus on AI frameworks; they contain data and Python and Julia code in a provided Docker, so you can practice. Chapter 3 covers Apache's MXNet, Chapter 4 covers TensorFlow, and Chapter 5 investigates Keras. After covering these Deep Learning frameworks, we explore a series of optimization frameworks, with Chapter 6 covering Particle Swarm Optimization (PSO), Chapter 7 on Genetic Algorithms (GAs), and Chapter 8 discussing Simulated Annealing (SA). Chapter 9 begins our exploration of advanced AI methods, by covering Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Chapter 10 discusses optimization ensembles and how they can add value to the Data Science pipeline. 
Chapter 11 contains several alternative AI frameworks including Extreme Learning Machines (ELMs), Capsule Networks (CapsNets), and Fuzzy Inference Systems (FIS). Chapter 12 covers other considerations complementary to the AI topics covered, including Big Data concepts, Data Science specialization areas, and useful data resources to experiment on.

A comprehensive glossary is included, as well as a series of appendices covering Transfer Learning, Reinforcement Learning, Autoencoder Systems, and Generative Adversarial Networks. There is also an appendix on the business aspects of AI in data science projects, and an appendix on how to use the Docker image to access the book's data and code. The field of AI is vast, and can be overwhelming for the newcomer to approach. This book will arm you with a solid understanding of the field, plus inspire you to explore further.

Yong Shi, Yingjie Tian, Gang Kou, Yi Peng, Jianping Li ... 316 pages - Publisher: Springer; (May, 2011) ... Language: English - ASIN: B00F5QT36Q by Amazon.

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.

Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery. Most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

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