the Nest of Students

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field.

NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson’s disease, or help psychotherapists. This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.

This textbook systematically introduces the theories, methods, and algorithms for geotechnical reliability analysis. There are a lot of illustrative examples in the textbook such that readers can easily grasp the concepts and theories related to geotechnical reliability analysis. A unique feature of the textbook is that computer codes are also provided through carefully designed examples such that the methods and the algorithms described in the textbook can be easily understood. In addition, the computer codes are flexible and can be conveniently extended to analyze different types of realistic problems with little additional efforts.

This book will be highly useful for professionals and practicing engineers in the area of geotechnical and foundations engineering. It will also be a useful reference for graduate and postgraduate students and the faculty in the same field.

The recent worldwide boom in industrial construction and the corresponding billions of dollars spent every year in industrial, oil, gas, and petrochemical and power generation project, has created fierce competition for these projects. Strong management and technical competence will bring your projects in on time and on budget. An in-depth exploration of both these aspects and the resulting challenges, Construction Management and Design of Industrial Concrete and Steel Structures provides a practical guide to the design of reinforced concrete and steel structures and foundations in industrial projects.

Renowned expert Mohamed A. El-Reedy covers the entire industrial construction process, from project management to design and construction to sigh off and providing a maintenance plan. Highlighting the differences between industrial construction and real estate or residential construction, he examines every phase and every role, from managerial to technical. He includes cases from industrial projects and covers the international technical practices, codes, and standards used in steel or concrete onshore or offshore projects. The book provides up-to-date methodologies in structure analysis, geotechnical studies, and international special codes and standards for industrial structures such as tanks, foundation under towers, machines, and special structures in industrial projects. It also examines the safety and economic benefits of developing a structure integrity management system.

When a project has a budget that seems as huge at the structure itself, the client, engineering firm, and contractor must work together to achieve success. Discussing the interface between these three main partners, this book outlines strategies for checking the design and controlling a project in all its phases.

Spreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations.

Beginning with the basics of spreadsheets and programming, this book builds on the authors’ decades of experience teaching spreadsheets and programming to both university students and professional engineers and scientists. Following on from this, it covers engineering economics, key numerical methods, and applied statistics. Finally, this book details the Visual Basic for Applications (VBA) programming system that accompanies Excel.

With each chapter including examples and a set of exercises, this book is an ideal companion for all engineering courses and also for self-study. Based on the latest version of Excel (Microsoft Excel for Microsoft 365), it is also compatible with earlier versions of Excel dating back to Version 2013. Including numerous case studies, this book will be of interest to students and professionals working in all areas of engineering and science.