Aynur Unal – författare

DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.

Future-proof your medical expertise with this indispensable guide that offers a comprehensive, expert-led exploration of how Augmented and Virtual Reality (AR/VR) are revolutionizing healthcare. Augmented reality (AR) and virtual reality (VR) have profoundly impacted the healthcare sector, introducing ground-breaking applications ranging from surgical simulations and pain management to mental health therapies and patient education. This book delves into the various applications of AR and VR, including deep learning, surgical training, teleconsultation, and patient rehabilitation. By blending theoretical insights with practical case studies, it provides a deeper understanding of how these technologies are being integrated into medical practices to improve outcomes, enhance patient care, and train healthcare professionals. It also explores cutting-edge developments, such as AI-powered AR systems and VR-based mental health treatments, highlighting the future of healthcare innovation. With contributions from leading experts in healthcare, technology, and academia, this book offers a multidimensional perspective on the challenges and opportunities associated with AR and VR in the medical field. Through its accessible language and detailed illustrations, this book is an indispensable guide for anyone interested in the intersection of technology and medicine. Readers will find the volume: Provides a comprehensive exploration of how immersive technology is unlocking new possibilities in healthcare, education, and rehabilitation;Offers insights from top researchers and practitioners in the field, providing authoritative perspectives on the latest technologies, applications, and trends shaping the future of XR;Offers practical guidance and actionable insights to help you harness the power of AR and VR, accelerating innovation and driving real-world impacts;Uncovers the diverse range of applications empowered by the convergence of healthcare and gamification, revolutionizing healthcare delivery and improving patient outcomes.Audience Healthcare professionals, medical educators and students, engineers, developers, researchers, and policymakers looking for cutting-edge technologies to enhance patient care and treatment outcomes.

The Discourse About Kurdishness and Indigeneity: Kurdish Political Movement in Turkey presents a comprehensive analysis of the self-identified Kurdish identity within the Kurdish political movement in Turkey, adopting an indigenous perspective. The analysis is mainly focused on the parliamentary politics of three distinct periods in Turkey, including the inception of the Kurdistan Workers’ Party (PKK), the emergence of other pro-Kurdish political parties since the 1990s, and the parliamentary politics through the Peoples’ Democratic Party (HDP). In addition to the central perspective of indigeneity, the theoretical framework of the book, including internal colonialism and Orientalism within Orient perspectives, is also employed to critically investigate the relationship of post-colonial nation-states with multi-ethnic societies in the case of Turkey and the Kurdish struggle. The research consists of a mixed methods approach to explore the discourse on Kurdishness by analysing party programs, statements, and semi-structured interviews. The book utilises the Discourse-Historical Approach to analyse data and provide an interpretation of the concept of indigeneity within the discourse on Kurdishness. It sheds new light on the Kurdish political movement and other indigenous peoples in Mesopotamia, who were rendered invisible after the First World War due to the emerging political discourse in the Middle East.

This book features high-quality research papers presented at the Fifth International Conference on Data Science and Big Data Analytics (IDBA 2025), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 27–28, 2025. This book discusses topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.

This book features high-quality research papers presented at the Fifth International Conference on Data Science and Big Data Analytics (IDBA 2025), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 27–28, 2025. This book discusses topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.

This book constitutes the refereed proceedings of the First International Conference on Smart Trends in Information Technology and Computer Communications, SmartCom 2016, held in Jaipur, India, in August 2016.The 106 revised papers presented were carefully reviewed and selected from 469 submissions. The papers address issues on smart and secure systems; technologies for digital world; data centric approaches; applications for e-agriculture and e-health; products and IT innovations; research for knowledge computing.

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

This book constitutes the refereed proceedings of the Second International Conference on Smart Trends in Information Technology and Computer Communications, SmartCom 2017, held in Pune, India, in August 2017.The 38 revised papers presented were carefully reviewed and selected from 310 submissions. The papers address issues on smart and secure systems; smart and service computing; smart data and IT innovations.

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020.

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020.

This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 – 3 April 2021.

This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 – 3 April 2021.

This book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021.

This book features high-quality research papers presented at the Fourth International Conference on Data Science and Big Data Analytics (IDBA 2024), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during July 12–13, 2024. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.

This book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.