Data Driven Software Engineering And Surge Pricing Algorithms Explained
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Data Driven Software Engineering And Surge Pricing Algorithms Explained
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Author : Abhijeet Bajaj Dr. Shilpa Choudhary
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-01
Data Driven Software Engineering And Surge Pricing Algorithms Explained written by Abhijeet Bajaj Dr. Shilpa Choudhary and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Computers categories.
In the era of data-centric innovation, software engineering has undergone a paradigm shift, evolving into a discipline where insights derived from data drive critical decisions, performance enhancements, and algorithmic precision. This book, Data-Driven Software Engineering and Surge Pricing Algorithms Explained, explores this transformative intersection of software engineering and real-time data analytics, focusing on the intricate mechanisms behind surge pricing algorithms and their profound impact across industries. Through meticulously curated chapters, we delve into the methodologies, tools, and frameworks that underpin modern software systems designed to adapt to fluctuating demands. From foundational discussions on data acquisition and preprocessing to advanced topics like predictive modeling, algorithm optimization, and real-time decision-making, the book offers a holistic perspective. Moreover, we examine the ethical and technical challenges of surge pricing algorithms, fostering a balanced view of their advantages and potential societal implications. This book is designed to cater to a wide audience, including software engineers, data scientists, students, and business leaders keen on leveraging the power of data to solve complex problems. Each chapter combines theoretical insights with practical examples, ensuring that readers can readily apply the concepts discussed to real-world scenarios. The integration of case studies and hands-on exercises further enriches the learning experience, making this book a practical guide for both beginners and seasoned professionals. The inspiration for this book stems from the growing importance of adaptive, data-driven systems in today’s fast-paced digital economy. We are deeply indebted to the many innovators, researchers, and practitioners who have contributed to the fields of software engineering and algorithm design. Their work has paved the way for the development of scalable, intelligent systems that redefine what technology can achieve. It is our sincere belief that the insights shared in these pages will empower readers to not only understand but also contribute to the evolution of data-driven technologies, fostering solutions that are efficient, equitable, and impactful in the digital age. Thank you for joining us on this intellectual journey. Authors
Advancing Software Engineering Through Ai Federated Learning And Large Language Models
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-02
Advancing Software Engineering Through Ai Federated Learning And Large Language Models written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.
Handbook Of Dynamic Data Driven Applications Systems
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Author : Erik P. Blasch
language : en
Publisher: Springer Nature
Release Date : 2022-05-11
Handbook Of Dynamic Data Driven Applications Systems written by Erik P. Blasch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with Computers categories.
The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University
Handbook Of Dynamic Data Driven Applications Systems
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Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2023-09-14
Handbook Of Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-14 with Computers categories.
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
Data Driven Retailing
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Author : Louis-Philippe Kerkhove
language : en
Publisher: Springer Nature
Release Date : 2022-10-05
Data Driven Retailing written by Louis-Philippe Kerkhove and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-05 with Business & Economics categories.
This book provides retail managers with a practical guide to using data. It covers three topics that are key areas of innovation for retailers: Algorithmic Marketing, Logistics, and Pricing. Use cases from these areas are presented and discussed in a conceptual and comprehensive manner. Retail managers will learn how data analysis can be used to optimize pricing, customer loyalty and logistics without complex algorithms. The goal of the book is to help managers ask the right questions during a project, which will put them on the path to making the right decisions. It is thus aimed at practitioners who want to use advanced techniques to optimize their retail organization.
Mathematical Analysis And Computing
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Author : R. N. Mohapatra
language : en
Publisher: Springer Nature
Release Date : 2021-05-05
Mathematical Analysis And Computing written by R. N. Mohapatra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-05 with Mathematics categories.
This book is a collection of selected papers presented at the International Conference on Mathematical Analysis and Computing (ICMAC 2019) held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India, from 23–24 December 2019. Having found its applications in game theory, economics, and operations research, mathematical analysis plays an important role in analyzing models of physical systems and provides a sound logical base for problems stated in a qualitative manner. This book aims at disseminating recent advances in areas of mathematical analysis, soft computing, approximation and optimization through original research articles and expository survey papers. This book will be of value to research scholars, professors, and industrialists working in these areas.
Advances In Electrical And Computer Technologies
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Author : Thangaprakash Sengodan
language : en
Publisher: CRC Press
Release Date : 2025-07-04
Advances In Electrical And Computer Technologies written by Thangaprakash Sengodan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Technology & Engineering categories.
This book comprises a selection of papers presented at the Sixth International Conference on Advances in Electrical and Computer Technologies (ICAECT 2024). It compiles groundbreaking research and advancements in the field of electrical engineering, electronics engineering, computer engineering and communication technologies. The book touches upon a wide array of topics including smart grids, soft computing techniques in power systems, smart energy management systems, and power electronics under the Electrical Engineering track; and biomedical engineering, antennas and waveguides, image and signal processing, and broad band and mobile communication under the Electronics Engineering track. With special emphasis on Computer Engineering, this book highlights emerging trends in computer vision, pattern recognition, cloud computing, pervasive computing, intelligent systems, artificial intelligence, neural network and fuzzy logic, machine learning, deep learning, data science, video processing, and wireless communication. This is a valuable resource for students, researchers and engineers within the field of innovative research and practical applications of electrical and computer technologies.
Dynamic Data Driven Applications Systems
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Author : Erik Blasch
language : en
Publisher: Springer Nature
Release Date : 2024-02-26
Dynamic Data Driven Applications Systems written by Erik Blasch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022, which took place in Cambridge, MA, USA, during October 6–10, 2022. The 31 regular papers in the main track and 5 regular papers from the Wildfires panel, as well as one workshop paper, were carefully reviewed and selected for inclusion in the book. They were organized in following topical sections: DDAS2022 Main-Track Plenary Presentations; Keynotes; DDDAS2022 Main-Track: Wildfires Panel; Workshop on Climate, Life, Earth, Planets.
Advances In Systems Computing Sciences And Software Engineering
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Author : Tarek Sobh
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-27
Advances In Systems Computing Sciences And Software Engineering written by Tarek Sobh 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 2007-09-27 with Technology & Engineering categories.
Advances in Systems, Computing Sciences and Software Engineering This book includes the proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS’05). The proceedings are a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of computer science, software engineering, computer engineering, systems sciences and engineering, information technology, parallel and distributed computing and web-based programming. SCSS’05 was part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE’05) (www. cisse2005. org), the World’s first Engineering/Computing and Systems Research E-Conference. CISSE’05 was the first high-caliber Research Conference in the world to be completely conducted online in real-time via the internet. CISSE’05 received 255 research paper submissions and the final program included 140 accepted papers, from more than 45 countries. The concept and format of CISSE’05 were very exciting and ground-breaking. The PowerPoint presentations, final paper manuscripts and time schedule for live presentations over the web had been available for 3 weeks prior to the start of the conference for all registrants, so they could choose the presentations they want to attend and think about questions that they might want to ask. The live audio presentations were also recorded and were part of the permanent CISSE archive, which also included all power point presentations and papers. SCSS’05 provided a virtual forum for presentation and discussion of the state-of the-art research on Systems, Computing Sciences and Software Engineering.
Dynamic Data Driven Applications Systems
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Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2020-11-02
Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Computers categories.
This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.