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  • Sách/Book


  • Authors: Abu Sayed Mahfuz (2016)

  • This book focuses on the importance of software quality and security. It defines various types of testing, recognizes factors that propose value to software quality, and provides theoretical and real-world scenarios that offer value and contribute quality to projects and applications. The practical synopsis on common testing tools helps readers who are in testing jobs or those interested in pursuing careers as testers. It also helps test leaders, test managers, and others who are involved in planning, estimating, executing, and maintaining software.

  • Sách/Book


  • Authors: Shubham Gupta (2024)

  • This book introduces the fundamental concepts of data structures and algorithms. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and hashing. The book is written to help students and professionals in computer science and programming understand how to use data structures and algorithms to solve complex problems efficiently.

  • Sách/Book


  • Authors: Bryan Sills (2020)

  • This book focuses on practical techniques for developing apps in Kotlin compatible with Android 7.0 (Nougat) through Android 12 and beyond. Write and run code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, store data in databases, and more. Learn about the latest patterns and techniques, including Kotlin coroutines and Jetpack Compose, a new way to build Android UIs. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development.

  • Sách/Book


  • Authors: Ashish Bagwari (2023)

  • "This book cover wireless communication, security issues, advanced wireless sensor networks, routing protocols of WSNs with cross-layer solutions, emerging trends in the advanced WSNs, power management, distributed sensing and data gathering techniques for WSNs, WSNs Security, applications, research of advanced WSNs with simulation results, and simulation tools for WSNs"--

  • Sách/Book


  • Authors: Marius Leordeanu (2020)

  • This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video.

  • Sách/Book


  • Authors: Kieran Healy (2019)

  • This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language

  • Sách/Book


  • Authors: Dusan Petkovic (2020)

  • Microsoft SQL Server 2019: A Beginner’s Guide, Seventh Edition starts by explaining fundamental relational database system concepts. From there, you’ll learn how to write Transact-SQL statements, execute simple and complex database queries, handle system administration and security, and use powerful analysis and reporting tools. New topics such as SQL and JSON support, graph databases, and support for machine learning with R and Python are also covered in this step-by-step tutorial.

  • Sách/Book


  • Authors: Brock J. LaMeres (2024)

  • This textbook for courses in Digital Systems Design introduces students to the fundamental hardware used in modern computers. Coverage includes both the classical approach to digital system design (i.e., pen and paper) in addition to the modern hardware description language (HDL) design approach (computer-based).