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This book is a noteworthy series of works authored by women from diverse research areas and expertise. This book contains research papers from fundamental, experimental, and empirical studies in the fields of mechanical engineering and materials science is included in this book series. Methods for modelling data, structures, and materials using numerical and analytical techniques are described along with experimental data and methodologies.
This book describes common applied problems that are solved with the use of digital technology. The digital technology has simplified most of our daily activities. Technology has been improving our quality of life where human capability alone is insufficient enough to be utilized. For any challenging tasks, digital technology helps to solve it in very efficient ways and thousands of them are solved on a daily basis without much notice in the public. Software and IT technology let us to complete tasks in just a moment that took days without this technical support. In that sense, this book presents several examples on how software- and IT-based solutions were successfully applied in solving actual engineering problems.
This book focuses on understanding Innovation in the Financial Services Sector. The collection of contributions gathered in the book highlights the importance of technology contexts that pertain to Finance, accounting, and the law arena. The respective chapters address topics such as Economic development, social entrepreneurship, Online Behaviour, Digital entrepreneurship, and Islamic banks. All contributions are based on the latest empirical and theoretical research and provide key findings and concrete recommendations for scholars, entrepreneurs, organizations, and policymakers.
This book constitutes the refereed proceedings of the 7th International Conference on Advances in Visual Informatics, IVIC 2021, held in Selangor, Malaysia in November 2021. The 59 papers presented were carefully reviewed and selected from 114 submissions. The papers are organized into the following topics: Visualization and Digital Innovation; Engineering and Digital Innovation; Cyber Security and Digital Innovation; and Energy Informatics and Digital Innovation.
Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandas Key FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your data and identify the correlation between different variablesPractice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python packageBook Description Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization. ...
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.