"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)". PDF Download

Author:
Publisher:
ISBN: 9781665419741
Category :
Languages : en
Pages :

View

Book Description

Author: IEEE Staff
Publisher:
ISBN: 9781665429917
Category :
Languages : en
Pages :

View

Book Description
The conference title is belonging 100 in the area of IEEE Computer Society This event would be a wonderful gathering between IEEE members in the area of South Pacific, Australia and the rest of the world to share the latest development in the area of computer science and data engineering The conference will be a forum for participants to discuss state of the art innovations in technologies which have been made available by the researchers & IT professionals and will feature plenary and panel sessions as well as technical paper presentations and poster sessions Workshop by international experts on ICT and Data Engineering applications will also be available The conference theme for 2020 is Visualise the Future through Data CSDE 2020 is also aimed to promote discussion about the pedagogical potential of new sustainable technologies for the developing countries

Author: Kevin Daimi
Publisher: Springer Nature
ISBN: 3031353080
Category : Technology & Engineering
Languages : en
Pages : 460

View

Book Description
The Second International Conference on Innovations in Computing Research (ICR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the innovations in computing technologies. The conference is aptly segmented into six tracks: Data Science, Computer and Network Security, Health Informatics and Medical Imaging, Computer Science and Computer Engineering Education, Internet of Things, and Smart Cities/Smart Energy. These tracks aim to promote a birds-of-the-same-feather congregation and maximize participation. The Data Science track covers a wide range of topics including complexity score for missing data, deep learning and fake news, cyberbullying and hate speech, surface area estimation, analysis of gambling data, car accidents predication model, augmenting character designers’ creativity, deep learning for road safety, effect of sleep disturbances on the quality of sleep, deep learning-based path-planning, vehicle data collection and analysis, predicting future stocks prices, and trading robot for foreign exchange. Computer and Network Security track is dedicated to various areas of cybersecurity. Among these are decentralized solution for secure management of IoT access rights, multi-factor authentication as a service (MFAaaS) for federated cloud environments, user attitude toward personal data privacy and data privacy economy, host IP obfuscation and performance analysis, and vehicle OBD-II port countermeasures. The Computer Science and Engineering Education track enfolds various educational areas, such as data management in industry–academia joint research: a perspective of conflicts and coordination in Japan, security culture and security education, training and awareness (SETA), influencing information security management, engaging undergraduate students in developing graphical user interfaces for NSF funded research project, and emotional intelligence of computer science teachers in higher education. On the Internet of Things (IoT) track, the focus is on industrial air quality sensor visual analytics, social spider optimization meta-heuristic for node localization optimization in wireless sensor networks, and privacy aware IoT-based fall detection with infrared sensors and deep learning. The Smart Cities and Smart Energy track spans various areas, which include, among others, research topics on heterogeneous transfer learning in structural health monitoring for high-rise structures and energy routing in energy Internet using the firefly algorithm.

Author: Barry Solaiman
Publisher: Edward Elgar Publishing
ISBN: 1802205659
Category : Law
Languages : en
Pages : 433

View

Book Description
This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline, thanks to generous funding support from Hamad Bin Khalifa University (HBKU). The Research Handbook on Health, AI and the Law explores the use of AI in healthcare, identifying the important laws and ethical issues that arise from its use. Adopting an international approach, it analyses the varying responses of multiple jurisdictions to the use of AI and examines the influence of major religious and secular ethical traditions.

Author: Ning Yang
Publisher: Frontiers Media SA
ISBN: 2832529801
Category : Science
Languages : en
Pages : 264

View

Book Description

Author: Durgesh Mishra
Publisher: Springer Nature
ISBN: 981999179X
Category :
Languages : en
Pages : 733

View

Book Description

Author: Mohamed Lahby
Publisher: CRC Press
ISBN: 1003825036
Category : Computers
Languages : en
Pages : 303

View

Book Description
Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide. Addressing the issue of cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts. Key Features: Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms. Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence. Includes many case studies and applications of machine intelligence for combating cyberbullying.

Author: Zaremohzzabieh, Zeinab
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 519

View

Book Description
In an era defined by the relentless march of technology, the seamless integration of Artificial Intelligence (AI) into our daily lives has ushered in a transformative landscape. At the forefront of this evolution are the Digital Natives of Generation AI, navigating the complexities of a digital world where algorithms are integral to their daily experiences. This juncture presents a dual influence, marked by the continuous progression of technological advancements and the dynamic ways the youngest members of our society engage with and adapt to the digital environment. As we stand at the crossroads of youth studies and AI, there arises a pressing need to comprehend the profound impact of this convergence on the future leaders of our world. Addressing this imperative, Exploring Youth Studies in the Age of AI emerges as a comprehensive solution to unravel the complexities and opportunities within this evolving landscape. This book, meticulously crafted for academics, researchers, educators, policymakers, and technology ethicists, serves as a guiding beacon in understanding how AI shapes the experiences of today's youth and, in turn, how youth culture influences the development and application of AI technologies. With a collection of enlightening chapters covering topics from "Data-Driven Pedagogies" to "Ethical AI: Guiding Principles for Youth-Centric Development," the book delves deep into the diverse dimensions of this intersection, providing actionable insights and fostering a nuanced understanding for those invested in the ethical, social, and educational implications of AI within the context of youth.

Author: Tiancheng Li
Publisher: MDPI
ISBN: 3036501223
Category : Technology & Engineering
Languages : en
Pages : 266

View

Book Description
The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing.

Author: Pantea Foroudi
Publisher: Taylor & Francis
ISBN: 100095370X
Category : Business & Economics
Languages : en
Pages : 203

View

Book Description
Technological advances, alongside increasing globalization and growing awareness of socio-cultural and socio-political issues, are driving corporate branding innovations, and organizations must react and adapt quickly to compete. This book investigates and explores the impact of digital transformation on building corporate branding, identity and reputation. This book brings together international contributors to provide examples from a wide range of industries and firms, including the retailing and agrifood industries, and illustrates the many dimensions of corporate branding and theories and how they can be aided by digital transformation. It explores the connection of branding with artificial intelligence, social media networks and technologies 4.0, as well as the limitations and challenges they might deliver. Using a combination of theory, primary research findings and practice, this book offers viewpoints and expertise from multiple regions, appealing to a global audience. This edited collection serves as an important resource for researchers, scholars and postgraduate students of marketing, brand management and corporate communications and those interested in the emerging relationship with technology.