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Nordell Randy: MICROSOFT OFFICE WORD
2016 COMPLETE: IN PRACTICE

MICROSOFT OFFICE WORD 2016 COMPLETE: IN PRACTICE

Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management

Technologies for HR Transformation and Performance Improvement

Digital HR

Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques. This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Mathematical Modeling for Big Data Analytics

Theoretical and Computational Chemistry

The triel elements are those of group 13 of the periodic table, including boron. Compounds of boron and other triel centres have been the subject of numerous studies for a long time, with their properties well-known and frequently discussed. However, the more detailed characteristics of triel compounds have not been well analyzed in existing research and their molecular and electronic structures have often been the subject of dispute and controversy. Triel bonds as a thematic area have garnered significant interest in recent years and this book provides a much broader description and explanation of their properties and characteristics than has previously been available, discussing aspects which are unique to triel bonds such as the differences between boron and the heavier triel atoms. The book features four main sections, looking at the theoretical foundations, then the types of interactions, before moving onto the main section demonstrating key examples of triel bonds as well as their characteristics. The concluding section then provides illustrative examples of triel elements functioning as catalysts and boron compounds in hydrogen storage. Theoretical and Physical Chemistry of Triel Bonding: Properties, Mechanisms, and Catalysis is written primarily for advanced undergraduate and graduate students and researchers in physical or theoretical/computational chemistry who may be working on intermolecular interactions and in the field of catalysis. It is also likely to be of interest to organic and inorganic chemists and relevant to those in molecular engineering, nanotechnology, and molecular biology.

Properties, Mechanisms, and Catalysis

Theoretical and Physical Chemistry of Triel Bonding: Volume 23

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized-and sparse datasets of input variables enhanced and/or rescaled-to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more. Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

Prediction Models Exploiting Well-Log Information

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Neuroimaging Methods and Applications

Population neuroimaging is an emerging field with the goal to understand brain structure, function, development, and ageing within the general population, including the inherent variety and diversity of health or illness within the population. Unlike studies that recruit patients with specific illnesses, population neuroimaging encompasses epidemiological approaches to better understand genetic and environmental factors that contribute to both brain health and brain disorders in the population at large. This book covers important themes within population neuroimaging and provides the reader with the tools to understand and engage in population-based neuroimaging studies.

Population Neuroimaging

Phytochemicals in Cancer Therapy and Beyond examines the role of natural products in the treatment of diseases, especially cancer. With a strong focus on the treatment of diseases, it demonstrates the mechanisms that natural products follow in treatment. In 24 chapters, the book describes not only regular cancer treatments, challenges, and developments in cancer treatment, in particular, phytochemicals and cellular mechanisms in cancer therapy, phytochemicals and molecular pathways in cancer, and Nano-scale delivery systems for phytochemicals in cancer therapy. The book concludes with clinical applications of phytochemical therapies. This book is a valuable resource for researchers in the field of oncology, disease therapy, diabetes mellitus treatment, cellular signaling scientists, and nanomaterial engineers.

Phytochemicals in Cancer Therapy and Beyond

Earth Observation

Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is an in-depth analysis of the transformative power of AI and Big Data in remote sensing. This book provides readers with the knowledge and tools to utilize these technologies to enhance decision-making and analysis. Starting from fundamental concepts, it progresses to advanced applications, offering accessible explanations and real-world examples to bridge the gap between theory and practice. The book uses a structured format to balance theoretical knowledge with immersive case studies, giving readers a deeper understanding of practical implications. It also covers ethical and legal considerations, making it an invaluable resource for researchers, professionals, and students keen on using AI and Big Data techniques in remote sensing to solve complex geospatial challenges.

Exploring Applications with Geospatial Insights

Remote Sensing, Big Data, and GeoAI

Using MATLAB

Numerical Methods

Advances in Chemical Engineering

Continuous Manufacturing of Pharmaceuticals: Volume 66

Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals. This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.

Agent-Based Models with MATLAB

Multimodal Remote Sensing Data Fusion for Classification: Algorithms and Applications offers a comprehensive overview of Earth observation data fusion, focusing on multimodal remote sensing. It presents state-of-the-art algorithms and practical applications that enhance understanding of Earth's dynamic processes. Through detailed analysis, case studies, and practical examples, this book equips readers with the necessary tools to effectively utilize multimodal data fusion for land cover and land use classification, as well as environmental monitoring, making it an invaluable resource for those in remote sensing and Earth sciences. Furthermore, the book is tailored for Masters and Doctorate students, scientists, and professionals in remote sensing, geography, and Earth sciences. It delves into the integration and analysis of multimodal remote sensing data, offering insights into sustainable solutions for environmental challenges. This comprehensive coverage ensures readers are well-versed in the cutting-edge techniques and methodologies required for advanced Earth observation and classification tasks.

Algorithms and Applications

Multimodal Remote Sensing Fusion and Classification

BASIC AND CLINICAL ANGIOGENESIS

A History of Angiogenesis: Discoveries, Research and the Therapeutic Potential presents a recent history of discoveries in the angiogenic field that contribute to the development of the anatomical knowledge of the process, experimental models, and new pharmacological approaches in different angiogenesis-related diseases. This multifaceted book is enriched with deep scientific contents, and each chapter clearly defines historical steps, the emerging role during the years of new morphological findings, molecular pathways, and targets. Focus is also directed on key challenges associated and future directions. The history of angiogenesis research is an intriguing tool for discovering answers to a wide array of queries arising in the biological and medical world. This comprehensive resource skillfully integrates all the key aspects related to angiogenesis, and will be of immense help to students, researchers, and industry experts who want to explore the last two decades of angiogenesis discoveries and research.

Discoveries, Research and the Therapeutic Potential

A History of Angiogenesis

MICROSOFT OFFICE WORD 2016 COMPLETE: IN PRACTICE

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