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Scholars from the humanities and social sciences have repeatedly faced the challenge of writing history beyond the constraints and frameworks set by grand narratives and established historiographies. This book addresses the intentional invisibilization and concealment of people, knowledge, and ideas in historiography – both by historians and by the historical actors themselves – as an object of study. It does so through the lens of Asian bondage and dependency in modern and contemporary history. This collective work focuses on ‘concealment’, ‘self-concealment’ and ‘invisibility’ to analyze the asymmetrical agency involved in the act of hiding someone or something from being â...
This book represents the eighth edition of what has become 3.n established reference work, MAJOR COMPANIES OF THE Guide to the =AR EAST & AUSTRALASIA. This volume has been carefully 'esearched and updated since publication of the previous arrangement of the book 3dition, and provides more company data on the most mportant companies in the region. The information in the This book has been arranged in order to allow the reader to )()ok was submitted mostly by the companies themselves, find any entry rapidly and accurately. I ;ompletely free of charge. For the second time, a third volume Ilas been added to the series, covering major companies in Company entries are listed alphabetically within ...
This book represents the ninth edition of what has become an established reference work, MAJOR COMPANIES OF THE Guide to the FAR EAST & AUSTRALASIA. This volume has been carefully researched and updated since publication of the previous arrangement of the book edition, and provides more company data on the most important companies in the region. The information in the This book has been arranged in order to allow the reader to book was submitted mostly by the companies themselves, find any entry rapidly and accurately. completely free of charge. The companies listed have been selected on the grounds of Company entries are listed alphabetically within each section; the size of their sales vol...
The five-volume set LNCS 3980-3984 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2006. The volumes present a total of 664 papers organized according to the five major conference themes: computational methods, algorithms and applications high performance technical computing and networks advanced and emerging applications geometric modelling, graphics and visualization information systems and information technologies. This is Part I.
This book represents the seventh edition of what has become an established reference work, MAJOR COMPANIES OF THE FAR EAST & AUSTRALASIA. This volume has been carefully researched and updated since publication of the sixth edition, and provides more company data on the most important companies in the region. The information in the book was submitted mostly by the companies themselves, completely free of charge. For the first time, a third volume has been added to the series, covering major companies in Australia and New Zealand. The companies listed have been selected on the grounds of the size of their sales volume or balance sheet or their importance to the business environment of the coun...
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The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.