Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by "This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems"--
Artificial Intelligence and Machine Learning in 2d/3d Medical Image Processing by "Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools"--
Essentials of Pattern Recognition by This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
C++ Template Metaprogramming in Practice by "Using the implementation of a deep learning framework as an example, C++ Template Metaprogramming in Practice: A Deep Learning Framework explains the application of metaprogramming in a relatively large project and emphasizes ways to optimize systems performance. The book is suitable for developers with a basic knowledge of C++. Developers familiar with mainstream deep learning frameworks can also refer to this book to compare the differences between the deep learning framework implemented with metaprogramming and compile-time computing with deep learning frameworks using object-oriented methods. Consisting of eight chapters, the book starts with two chapters discussing basic techniques of metaprogramming and compile-time computing. The rest of the book's chapters focus on the practical application of metaprogramming in a deep learning framework. It examines rich types and t systems, expression templates, and writing complex meta-functions, as well as such topics as : Heterogeneous dictionaries and policy templates, an introduction to deep learning, type system and basic data types, operations and expression templates, basic layers composite and recurrent layers, and evaluation and its optimization. Metaprogramming can construct flexible and efficient code for C++ developers who are familiar with object-oriented programming ; the main difficulty in learning and mastering C++ metaprogramming is establishing the thinking mode of functional programming. The meta-programming approach involved at compile time is functional, which means that the intermediate results of the construction cannot be changed, and the impact may be greater than expected. This book enables C++ programmers to develop a functional mindset and metaprogramming skills. The book also discusses the development cost and use cost of metaprogramming and provides workarounds for minimizing these costs"--
GMAT Official Guide 2022 by Your official source of real GMAT(tm) practice questions. Study with practice questions from past GMAT(tm) exams. Your GMAT(tm) prep is comprised of comprehensive practice by studying with over 1,000 questions across quantitative and verbal reasoning, analytical writing, and integrated reasoning. Answer explanations are included so that you can study the reasoning behind the answers to help improve your performance. The questions in each section are organized by difficulty level: easy, medium and hard. Start at the beginning and work your way up to the hard questions as you build upon your knowledge. The GMAT(tm) Official Guide 2022 provides 3 ways to study: Book: Know what to expect on the GMAT(tm) exam Learn the exam structure: Start with the verbal and quantitative review chapters followed by practice questions. Review common quantitative formulas and concepts using quick reference sheets. Master verbal and quantitative reasoning by difficulty level and studying detailed answer explanations. GMAT(tm) Online Prep Tools: Focus your studying - Bonus: included with purchase! Prepare for the GMAT(tm) exam online. Take our Diagnostic Evaluation to discover your strengths and focus areas for each fundamental skill. Practice online with the same questions from the book PLUS 174 additional online-exclusive questions. Create custom practice sets by difficulty level and by fundamental skill. Track your progress using performance metrics. Prepare for exam day by timing your practicing in exam mode. Test your knowledge of key concepts with flash cards. Mobile App: Your GMAT(tm) test prep on the go Study offline after downloading the question sets. Sync between devices. Start on your phone, finish on your computer. The GMAT(tm) Official Guide 2022 gives you all the tools you need to confidently prepare for test day. This product includes print book with a unique code to access the GMAT(tm) exam Online Question Bank and mobile app. 本學科指引提供您資訊科學工程研究領域的相關資源，整合館藏紙本、電子資源、期刊資源、學位論文、以及校外的網路資源等，主題式的引介各種資源使用。若需更進一步的協助，請與學科館員聯絡。
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