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Makan 去咯! Go Makan! (2022 Edition - PDF)
What beverages do “Tak Giu” and “Diao Yu” refer to? Who were the Samsui Women? Why do Chinese Singaporean families gather to toss yusheng every Lunar New Year? How and why did their ancestors migrate to Singapore in the first place? Discover all that and more through ten fun and educational storybooks, written and illustrated by Ngee Ann Polytechnic’s Chinese Studies students with guidance from award-winning children’s book illustrator Lee Kow Fong! Complete with activity guides and downloadable learning resources for educators, this series is a must-have for any child’s cultural education. Filled with insights from the Singapore Chinese Cultural Centre’s exhibition, this exc...
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
The Sian Incident
When Chiang Kai-shek arrived at Sian in the fall of 1936 and laid plans for launching his last campaign against the Red Army with an expectation of exterminating it in a month, he badly misjudged the mood of the Tungpei (Northeast) Army and more so its leader, Chang Hsueh-liang, better known as the Young Marshal. Refusing to fight the Communists, Chang with the loyal support of his officers staged a coup d’état by kidnapping Chiang Kai-shek for two weeks at Sian. Almost forty years after the melodrama was over, the Sian Incident still absorbs much attention from both Chinese and Western scholars as well as the reading public. The Sian Incident attempts to bring together whatever information has been thus far gleaned about the subject, and to cover all aspects and controversies involved in it. [1, xi, xii]
Groundbreaking
"To mark MND0́9s 60th anniversary in 2019, Groundbreaking: 60 Years of National Development in Singapore chronicles the story of Singapore0́9s national development from pre-independence to the present day. Led by a foreword by Minister for National Development Lawrence Wong and a preface by MND Permanent Secretary Ow Foong Pheng, the book draws on newspapers, interviews and photos to explore 200 years of urban planning in Singapore as well as the Ministry0́9s most significant milestones and achievements in shaping Singapore as a city and transforming the lives of citizens through key initiatives and policies. The book outlines how the Ministry and its agencies transformed Singapore in jus...
Reframing Singapore
Over the past two decades, Singapore has advanced rapidly towards becoming a both a global city-state and a key nodal point in the international economic sphere. These developments have caused us to reassess how we understand this changing nation, including its history, population, and geography, as well as its transregional and transnational experiences with the external world. This collection spans several disciplines in the humanities and social sciences and draws on various theoretical approaches and methodologies in order to produce a more refined understanding of Singapore and to reconceptialize the challenges faced by the country and its peoples.
Machine Learning Approach for Cloud Data Analytics in IoT
Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support...
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
The Architecture of Ruins
The Architecture of Ruins: Designs on the Past, Present and Future identifies an alternative and significant history of architecture from the sixteenth century to the twenty-first century, in which a building is designed, occupied and imagined as a ruin. This design practice conceives a monument and a ruin as creative, interdependent and simultaneous themes within a single building dialectic, addressing temporal and environmental questions in poetic, psychological and practical terms, and stimulating questions of personal and national identity, nature and culture, weather and climate, permanence and impermanence and life and death. Conceiving a building as a dialogue between a monument and a...
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