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Business Innovation for the Post-pandemic Era in Vietnam
This book documents the recent post-pandemic era business innovation research in Vietnam bringing together selected works from the 2022 ‘International Conference on Business Innovation: Business Innovation in a Post-pandemic World’ held at RMIT University in Vietnam. The book contributes to the body of knowledge in several ways. It serves as a comprehensive reference for business innovation research and promotes recent progress in business innovation applications in Vietnam and offers a shared understanding to help coordinate future research in the field.
Smart Technologies and Innovation for a Sustainable Future
The book presents high-quality research papers presented at the 1st AUE International research conference, AUEIRC 2017, organized by the American University in the Emirates, held on November 15th-16th, 2017 in Dubai. The book is broadly divided into three sections: Media and Smart Cities, Creative Technologies and Innovation, and Security Risks and Strategic Challenges. The areas covered under these sections are cyber-psychology and digital forensics, cloud RAN architecture, networking functions virtualization, e-Governance and IoT semantic interoperability, ERP security, web-based application and problem-solving skills, smart technologies and advertising, smart technologies for smart cities...
Mixture Models and Applications
This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature. Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection; Present theoretical and practical developments in mixture-based modeling and their importance in different applications; Discusses perspectives and challenging future works related to mixture modeling.
PARIWISATA DAN KETAHANAN NASIONAL
Buku yang berada di tangan Anda ini turut menjabarkan kualitas edukasi di Indonesia di mana pendidikan yang berorientasi pada kualitas hidup manusia Indonesia yang tinggi, maju, dan sejahtera. Tentu tak lepas dari itu, ada harapan agar mewujudkan sebuah bangsa yang berdaya saing, dengan kualitas masyarakat yang berkepribadian dan memiliki kebudayaan yang unggul. Dalam konteks pembangunan bangsa, bisa dikatakan bahwa pembangunan pariwisata harus bersinergi maka diperlukan sebuah pendekatan yang disebut Penta Helix, bahwa pariwisata Indonesia menjadi tanggung jawab semua elemen, khususnya akademisi, pebisnis, komunitas/masyarakat, pemerintah, dan media. Penta Helix menjadi kekuatan ekonomi nasional. Melalui sektor pariwisata yang didukung oleh kemampuan profesionalisme sumber daya alam bidang kepariwisataan akan berdampak pada penciptaan ketahanan nasional. Kondisi ini akan memberi dampak positif bagi terciptanya bangsa yang makmur dan sejahtera.
Handbook of Research on AI and ML for Intelligent Machines and Systems
The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rel...
Military Applications of Artificial Intelligence: Ethical Concerns in an Uncertain World
The authors of this report examine military applications of artificial intelligence (AI); compare development efforts in the United States, China, and Russia; and consider the ethical implications of employing military AI in war and peace.
Smart Technologies and Innovation for a Sustainable Future
The book presents high-quality research papers presented at the 1st AUE International research conference, AUEIRC 2017, organized by the American University in the Emirates, held on November 15th-16th, 2017 in Dubai. The book is broadly divided into three sections: Media and Smart Cities, Creative Technologies and Innovation, and Security Risks and Strategic Challenges. The areas covered under these sections are cyber-psychology and digital forensics, cloud RAN architecture, networking functions virtualization, e-Governance and IoT semantic interoperability, ERP security, web-based application and problem-solving skills, smart technologies and advertising, smart technologies for smart cities...
Sustaining Innovation
In many ways, the process of innovation is a constant social dance, where the best dancers thrive by adapting new steps with multiple partners. The systematic and continuous generation of value in any innovation system relies on collaboration between different groups, who must overcome multiple, often competing agendas and needs to work together fruitfully over the long term. Featuring contributions from leading researchers, business leaders, and policymakers representing North America, Europe, India, Africa, and Australasia, this volume investigates different combinations of collaborative arrangements among innovation actors, many of which are changing conventional expectations of instituti...
Automatic Design of Decision-Tree Induction Algorithms
Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics. "Automatic Design of Decision-Tree Induction Algorithms" would be highly useful for machine learning and evolutionary computation students and researchers alike.
