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Nordell Randy: MICROSOFT OFFICE WORD
2016 COMPLETE: IN PRACTICE

MICROSOFT OFFICE WORD 2016 COMPLETE: IN PRACTICE

A Practical Approach

Applied Machine Learning in Chemical Process Engineering

Deep Learning for Synthetic Aperture Radar Remote Sensing

Theoretical and Computational Chemistry

Methods and Applications

Introduction to Computational Chemistry

Woodhead Publishing Series in Civil and Structural Engineering

A growing use of membranes for construction purposes has recently been encouraged by their environmentally friendly characteristics. To offer a timely and extensive, research-grounded compendium on structures made with fabrics and foils, the most relevant facets of the state of the art are covered in two sister titles. After a moving remembrance of Marc Malinowski, a great promoter of membrane structures, Membranes for Structures - Fundamentals begins with a brief historical review of the development of design tools for membrane structures. Part One follows, discussing design fundamentals in the light of recent experiences and modern technologies. Part Two updates knowledge of products and materials, with a special focus on fire performance, the incorporation of photovoltaic cells, and ETFE. Part Three deals with other considerations related to design and installation, such as acoustic performance, post-failure stability, wind loads and lifecycle analysis, with special mentions of textile halls and biogas containers. A look into the future is proposed in Part Four, where some interesting, present-day research on ageing and applications is included. The well-amalgamated contributions, authored by international experts, produce a comprehensive reference to keep students and researchers as well as industry professionals and various other stakeholders abreast with the latest advancements.

Fundamentals

Membranes for Structures

Geospatial Information and Services for Climate Resilient Disaster Management explores how cutting-edge technology can shape our response to climate-related disasters. Leading experts uncover the indispensable role that geospatial information and services can play in disaster preparedness, response, and recovery. The book opens with an overview of climate resilient disaster management and the application of geospatial technology. The chapters next undertake a thorough examination of early warning systems, risk assessment, vulnerability mapping, resource allocation, and disaster response. Following from those vital tools and applications, the editors then evaluate climate adaptation planning and community engagement in the light of geospatial technology. The book wraps up with real-world case studies and success stories along with a discussion of current challenges and future trends. Readers concerned with the rising connections between natural disaster and climate change will be inspired by this inside view of the latest innovations in geospatial information and services.

Geospatial Information and Services for Climate Resilient Disaster Management

Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex. This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

A Complete Guide to Rapidly Mastering and Applying Python Programming

Python Fast Track

Techniques and Applications

Spatial Statistics and Analysis

Learn to leverage Python for advanced 3D data processing, visualization, and AI-enabled workflows. Define 3D virtual realms, immersive environments, and digital automation to analyze physical objects. With a focus on practicality, this book offers data scientists, engineers, and developers a hands-on approach to working with 3D data. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D meshes, images, and more. Author Florent Poux helps you leverage the potential of cutting-edge algorithms and 3D AI models to develop production-ready systems with a focus on automation. You'll learn how to define 3D systems, leverage powerful algorithms, and deploy 3D digital experiences for your industry (geospatial applications, self-driving cars, medical imaging, robotics, manufacturing, computer vision/graphics, and more). This book dives deep into 3D data science with Python: building 3D workflows and wielding Python to implement your solutions. You'll learn: <ul> <li>Core concepts and representations of 3D data (meshes, point clouds, voxels, CAD) </li><li>How to load, manipulate, analyze, and visualize 3D data using powerful Python libraries </li><li>Advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) </li><li>3D reconstruction techniques to generate 3D datasets </li><li>Automated 3D modeling and generative AI workflows </li><li>Practical applications of 3D data science in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving </li><li>How to build end-to-end 3D Python apps through real-world projects </li></ul> Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120.

Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python

Advanced Techniques for Modifying Metaheuristics

The world today is driven by Industry 4.0, which is generating data at an uncontrolled pace. This book examines Big Data and its applications. It emphasizes how Big Data is transforming Industry 4.0. It also examines systems architectures and complementary technologies including IoT, AI, and machine learning.

Big Data Applications in Industry 4.0

Advances in Chemical Engineering

Continuous Manufacturing of Pharmaceuticals: Volume 66

The Digital Doctor: How Digital Health Can Transform Healthcare discusses digital health and demonstrates the appropriateness of each technology using an evidence-based approach. It serves as a comprehensive summary on current, evidence-based digital health applications, future novel digital health technologies (e.g., mobile health, blockchain, web3.0), as well as some of the current challenges and future directions for digital health within the various medical subspecialties. This book is a comprehensive review of digital health for clinicians, researchers, bioinformatic students, biomedical engineers interested in this topic.

How Digital Health Can Transform Healthcare

The Digital Doctor

MICROSOFT OFFICE WORD 2016 COMPLETE: IN PRACTICE

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