Complex Networks & Their Applications X


Book Description

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.




ISPHE 2022


Book Description

We are delighted to introduce the Proceedings of the 6th International Seminar on Public Health and Education (6th ISPHE 2022) with the theme “Active, Healthy, Productive, and Sustainable Community through Post Pandemic Recovery”. This conference has brought researchers, developers, and practitioners around the world. The technical program of 6th ISPHE 2022 consisted of 59 papers. The conference panel were Panel 1 – Public Health and Health Related Issues; Panel 2 – Health Education; Panel 3 – Physical Education, Sport, and Recreation; Panel 4 – Physical Education, Sports Science, and Applied Technology; Panel 5 – Sports Coaching, Sports Tourism, and Applied Technology; Panel 6 – Sports Science, Organizations, Infrastructure, and Psychology. Aside from the high- quality technical paper presentations, the technical program also featured three keynote speeches. The three keynote speeches were Prof. Michael Rosenberg, BAppSc, DipEd, M.P.H., Ph.D from The University of Western Australia, Australia; Prof. David Legg, Ph.D from International Federation of Adapted Physical Activity; Dr. Zason Chian from National Institute of Education, Singapore; Asst. Prof. Sri Ratna Rahayu, M.D., Ph.D from Public Health Department, Universitas Negeri Semarang, Indonesia. The 6th ISPHE 2022 collaboration with Asean Council of Physical Education and Sport (ACPES); ICSSPE; Jejaring Nasional Pendidikan Kesehatan (JNPK) and the Indonesian Public Health Association (IAKMI). The 6th ISPHE 2022 aimed to determine the direction of health education, and physical activities related to the status of health conditions in each region; both regional and national as well as their relationship with global health trends. Coordination with the steering chairs, Prof. Dr. Tandiyo Rahayu, M.Pd; Dr. Taufiq Hidayah, M.Kes and Dr. Andry Akhiruyanto, S.Pd., M.Pd was essential for the success of the conference. We sincerely appreciate their constant support and guidance. It was also a great pleasure to work with such an excellent organizing committee team for their hard work in organizing and supporting the conference. In particular, the Technical Program Committees, led by our TPC Co- Chairs, Dr. dr. Mahalul Azam., M.Kes and Prof. Dr. dr. Oktia Woro Kasmini Handayani, M.Kes who have completed the peer-review process of technical papers and made a high-quality technical program. We are also grateful to General Chair, Dr. Widya Hary Cahyati, S. KM., M. Kes(Epid) for her support and all the authors who submitted their papers to the 6th ISPHE 2022. We strongly believe that 6th ISPHE 2022 provides a good forum for all researcher, developers, and practitioners to discuss about health education, physical activity and applied technologies for health.




Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19


Book Description

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. - Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread - Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people's data once their information has been used to fight the pandemic - Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak




Proceedings of Second International Conference on Computing, Communications, and Cyber-Security


Book Description

This book features selected research papers presented at the Second International Conference on Computing, Communications, and Cyber-Security (IC4S 2020), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India during 3–4 October 2020. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.




Robotics, Control and Computer Vision


Book Description

This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics.




Computational Science and Its Applications – ICCSA 2021


Book Description

​​The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, blockchain, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, cryptography, applied mathematics human computer interaction, software design engineering, and others. Part IX of the set includes the proceedings of the following events: ​​13th International Symposium on Software Engineering Processes and Applications (SEPA 2021); International Workshop on Sustainability Performance Assessment: models, approaches and applications toward interdisciplinary and integrated solutions (SPA 2021).




Data Science and Data Analytics


Book Description

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data, we face several concerns, such as complexity, scalability, privacy leaks, and trust issues. Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud). Data Science and Data Analytics: Opportunities and Challenges covers all possible areas, applications with arising serious concerns, and challenges in this emerging field in detail with a comparative analysis/taxonomy. FEATURES Gives the concept of data science, tools, and algorithms that exist for many useful applications Provides many challenges and opportunities in data science and data analytics that help researchers to identify research gaps or problems Identifies many areas and uses of data science in the smart era Applies data science to agriculture, healthcare, graph mining, education, security, etc. Academicians, data scientists, and stockbrokers from industry/business will find this book useful for designing optimal strategies to enhance their firm’s productivity.




Soft Computing: Theories and Applications


Book Description

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2021), organized online. The book offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.




Product Innovation Toolbox


Book Description

PRODUCT INNOVATION TOOLBOX Discover how to implement consumer-centric innovation to help create new product development in this latest edition In recent years, behavioral approaches, social media listening, and other new techniques and technologies—digital techniques, augmented intelligence, machine learning, and advanced biometrics, among others—have been foregrounded in innovation research. A focus on the evolving fields of data science and neuroscience is a driving force for both researchers and the people they study. These digital and mobile technologies have enabled researchers to augment listening, observing and categorizing methods, and to adapt new techniques in attempting to better understand consumers. On the other hand, digitized mobile societies, spurred by faster and cheaper internet access, emphasize an interconnectedness that drastically alters human behaviors and creates borderless influences. Even so, the tenets and approaches to insightful deep learning for consumers and other actors, from discovery through to the launch of successful products, remains an intrinsic part of assessing the market. Product Innovation Toolbox brings together key thought leaders and seasoned consumer researchers from corporate R&D, academia, and marketing research companies to share their experiences, advanced consumer research tools and practical tips for successful and sustainable product innovation. By offering these leading-edge tools and insights, the book ensures consumer-centric innovation by linking strategy and a designed approach. The new edition focuses on the integration and connection of all data—both structured and unstructured???for deep learning and activation, rather than a differentiated qualitative—quantitative approach, reflecting the shifting relationships involved in the latest developments in the field. The second edition of Product Innovation Toolbox also includes: Revised material for more than 70% of the manual, with 11 new and extensively updated chapters New tools sections on digital technologies to create novel ways to stimulate and elicit insights from participants, such as Virtual Reality (VR) and Digital Augmentation Upgraded versions of tools in each updated section, with fresh examples New case studies created using the tools from the previous edition, including cases regarding cross-continental marketplaces and cross-cultural societies An emphasis on tools with global applications Product Innovation Toolbox is an essential resource for product developers, marketers, and technologists.