Practical Applications Of Data Processing Algorithms And Modeling
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Practical Applications Of Data Processing Algorithms And Modeling
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Author : Whig, Pawan
language : en
Publisher: IGI Global
Release Date : 2024-04-29
Practical Applications Of Data Processing Algorithms And Modeling written by Whig, Pawan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.
In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.
Big Data
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2015-02-23
Big Data written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-23 with Computers categories.
As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1
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Author : Pawan Whig, Pavika Sharma, Nikihita Yathiraju
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-03-14
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1 written by Pawan Whig, Pavika Sharma, Nikihita Yathiraju and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
Cutting-Edge Solutions for Advancing Sustainable Development: Exploring Technological Horizons for Sustainability – Part 1 explores the transformative role of emerging technologies in driving global sustainability. This book highlights how artificial intelligence, machine learning, biotechnology, digitization, and smart city innovations contribute to tackling critical environmental and social challenges. Spanning multiple industries, the book examines AI-powered solutions for cybersecurity and retail, sustainable urban planning through IoT and data analytics, green transportation advancements, and the role of digital transformation in achieving sustainable progress. Readers will gain valuable insights into pioneering innovations shaping a more sustainable future, with case studies and real-world applications. Key Features: - In-depth analysis of AI, IoT, biotech, and digitalization for sustainability. - Practical case studies and real-world applications. - Exploration of sustainability in smart cities, transportation, and cybersecurity. - Expert insights on integrating technology for a greener future.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Driving Business Success Through Eco Friendly Strategies
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Author : Kulkarni, Shrikaant
language : en
Publisher: IGI Global
Release Date : 2025-02-12
Driving Business Success Through Eco Friendly Strategies written by Kulkarni, Shrikaant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Business & Economics categories.
The integration of business management with sustainability practices is crucial as organizations strive to balance profitability with environmental responsibility. By utilizing interdisciplinary knowledge, such as computer simulation models, predictive analytics, and mathematical tools, businesses can optimize decision-making and foster green practices. These approaches not only address the complexities of modern business but also help create sustainable ecosystems that ensure long-term success while minimizing environmental impact. Driving Business Success Through Eco-Friendly Strategies provides businesses with a comprehensive understanding of how eco-friendly strategies can be leveraged to drive long-term success and sustainability. It further illustrates how integrating environmentally responsible practices can lead to increased profitability, operational efficiency, and a stronger brand reputation, ultimately contributing to a competitive edge in the marketplace. Covering topics such as artificial intelligence (AI), renewable energy, and user management, this book is an excellent resource for researchers, students, academicians, business professionals, industrialists, and more.
Proceedings Of 4th International Conference On Mathematical Modeling And Computational Science
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Author : Souvik Pal
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Proceedings Of 4th International Conference On Mathematical Modeling And Computational Science written by Souvik Pal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
This book aims to capture the interest of researchers and professionals in information technology, computer science, and mathematics. It presents fundamental and advanced concepts in intelligent computing paradigms, data science, graph theory, and mathematical modeling. As high-performance computing evolves, the emphasis on intelligent, adaptive computing mechanisms and the integration of mathematical modeling into computational algorithms is becoming increasingly vital. Serving as a valuable resource for professionals and newcomers alike, this book provides insights into enhanced computing paradigms and mathematical approaches, ranging from foundational to advanced levels. Our objective is to create a platform where researchers, engineers, academicians, and industry experts worldwide can exchange findings on emerging trends. Beyond introducing innovative concepts, the authors believe this book will spark meaningful discussions and inspire new ideas.
Radar Data Processing With Applications
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Author : He You
language : en
Publisher: John Wiley & Sons
Release Date : 2016-08-01
Radar Data Processing With Applications written by He You and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with Technology & Engineering categories.
Radar Data Processing with Applications Radar Data Processing with Applications He You, Xiu Jianjuan, Guan Xin, Naval Aeronautical and Astronautical University, China A summary of thirty years’ worth of research, this book is a systematic introduction to the theory, development, and latest research results of radar data processing technology. Highlights of the book include sections on data pre-processing technology, track initiation, and data association. Readers are also introduced to maneuvering target tracking, multiple target tracking termination, and track management theory. In order to improve data analysis, the authors have also included group tracking registration algorithms and a performance evaluation of radar data processing. Presents both classical theory and development methods of radar data processing Provides state-of-the-art research results, including data processing for modern radars and tracking performance evaluation theory Includes coverage of performance evaluation, registration algorithm for radar networks, data processing of passive radar, pulse Doppler radar, and phased array radar Features applications for those engaged in information engineering, radar engineering, electronic countermeasures, infrared techniques, sonar techniques, and military command Radar Data Processing with Applications is a handy guide for engineers and industry professionals specializing in the development of radar equipment and data processing. It is also intended as a reference text for electrical engineering graduate students and researchers specializing in signal processing and radars.
Practical Applications Of Business Ai
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Author : Pradyumna Kamat
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Practical Applications Of Business Ai written by Pradyumna Kamat and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.
"Practical Applications of Business AI" is an essential guide for understanding the impact of artificial intelligence on the business world. We unpack AI's practical uses in an accessible and actionable way, helping businesses navigate the AI-driven future confidently. We begin with an engaging introduction to AI, exploring its foundations, core technologies, and historical significance in business. From there, readers are guided through AI’s integration in business processes, real-world case studies, and key applications such as customer relationship management, supply chain optimization, and decision-making. Alongside practical applications, we address vital ethical and legal considerations, helping businesses build responsible AI frameworks. Case studies across sectors such as retail, finance, and healthcare illustrate AI’s transformative potential. Readers are equipped with strategies for successful AI project implementation, team building, data security, and fostering a collaborative AI culture. With insights into future trends and challenges, "Practical Applications of Business AI" is a comprehensive roadmap, empowering readers to harness AI’s transformative power responsibly and strategically.
Data Analysis In Astronomy Iv
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Author : R. Buccheri
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Data Analysis In Astronomy Iv written by R. Buccheri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
In this book are reported the main results presented at the "Fourth International Workshop on Data Analysis in Astronomy", held at the Ettore Majorana Center for Scientific Culture, Erice, Sicily, Italy, on April 12-19, 1991. The Workshop was preceded by three workshops on the same subject held in Erice in 1984, 1986 and 1988. The frrst workshop (Erice 1984) was dominated by presentations of "Systems for Data Analysis"; the main systems proposed were MIDAS, AlPS, RIAIP, and SAIA. Methodologies and image analysis topics were also presented with the emphasis on cluster analysis, multivariate analysis, bootstrap methods, time analysis, periodicity, 2D photometry, spectrometry, and data compression. A general presentation on "Parallel Processing" was made which encompassed new architectures, data structures and languages. The second workshop (Erice 1986) reviewed the "Data Handling Systems" planned for large major satellites and ground experiments (VLA, HST, ROSAT, COMPASS-COMPTEL). Data analysis methods applied to physical interpretation were mainly considered (cluster photometry, astronomical optical data compression, cluster analysis for pulsar light curves, coded aperture imaging). New parallel and vectorial machines were presented (cellular machines, PAPIA-machine, MPP-machine, vector computers in astronomy). Contributions in the field of artificial intelligence and planned applications to astronomy were also considered (expert systems, artificial intelligence in computer vision).
Handbook Of Deep Learning Models For Healthcare Data Processing
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Author : Ajay Kumar
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Handbook Of Deep Learning Models For Healthcare Data Processing written by Ajay Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Technology & Engineering categories.
In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes. Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, techniques, and applications in healthcare data processing, analysis, and disease prediction, providing a comprehensive overview of the field. It focuses on the practical application of deep learning models in healthcare and offers step-by-step instructions for building and deploying models and using real-world examples. The handbook discusses the potential future applications of deep learning models in healthcare, such as precision medicine, personalized treatment, and clinical decision support. It also addresses the ethical considerations associated with the use of deep learning models in healthcare, such as privacy, security, and bias. It provides technical details on deep learning models, including their architecture, training methods, and optimization techniques, making it useful for data scientists and researchers. Written to be a comprehensive guide for healthcare professionals, researchers, and data analysts, this handbook is an essential need for those who are interested in using deep learning models to analyze and process healthcare data. It is also suitable for those who have a basic understanding of machine learning and want to learn more about the latest advancements in deep learning in healthcare.