Selected Papers VJFUZZY'2001

2002 ◽  
Vol 6 (1) ◽  
pp. 1-1
Author(s):  
Nguyen Hoang Phuong*and Koichi Yamada** ◽  
Keyword(s):  
Language Processing ◽  
Fuzzy Systems ◽  
Wide Spectrum ◽  
Fuzzy Optimization ◽  
Case Based Reasoning ◽  
Special Issue ◽  
Decentralized System ◽  
Control Rules ◽  
Data Querying

This special issue of the journal is devoted to Fuzzy Systems and their Applications. Today's fuzzy technology is like a mighty dragon: every year, every day, new applications appear that are more and more helpful in our peaceful life. One of the main objectives of the Second International Vietnam-Japan Symposium on Fuzzy Systems and Applications (VJFUZZY'2001) is to help this powerful technology to achieve even more. VJFUZZY'2001 was held in Hanoi, Vietnam on December 7-8, 2001. In VJFUZZY'2001, there was a wide spectrum of fuzzy research and applications, including sessions: "Fuzzy Mathematics", "Fuzzy Image/Signal Processing and Pattern recognition", "Fuzzy Optimization/Programming", "Fuzzy Data Analysis and its applications", "Towards Combining Fuzzy, probability and other techniques", "Learning, Neural Networks and Applications", "Fuzzy/Intelligent Control", "Natural Language Processing" etc. Many very interesting results were presented at the symposium. Among these various and excellent papers, this special issue offers a selection of nine papers that contribute to advances of computational intelligence in various aspects. The topics that the selected papers deal with are fuzzy relation with threshold, nonlinear optimization with convex polyhedral objective function, reinforcement learning of fuzzy control rules, learning of probabilistic causal models, data querying in fuzzy relational database, case-based reasoning in medial diagnosis, analysis of human brain activities for fuzzy and crisp calculations, fuzzy robust control of a decentralized system and image processing using fuzzy mathematical morphology. As editors of this special issue, we would like to express our thanks to all of the contributors for their interesting results, the anonymous referees for their thankless job and the Editorial Board of JACI, especially Prof. Kaoru Hirora, for the enthusiastic hospitality with which JACI agreed to have this special issue. Finally, we want to thank Prof. Hung T Nguyen and Prof. Michio Sugeno - for their supports to VJFUZZY'2001. Without their help, the VJFUZZY'2001 and then this special issue would not be impossible.

scholarly journals Special Issue on Intelligent Technologies, Fuzzy Systems and Applications

2003 ◽  
Vol 7 (3) ◽  
pp. 251-251
Author(s):  
Nguyen Hoang Phuong ◽  
Keyword(s):  
Data Mining ◽  
Genetic Algorithms ◽  
Soft Computing ◽  
Fuzzy Systems ◽  
Wide Spectrum ◽  
Support Vector ◽  
Equivalent Transformation ◽  
Self Organizing Map ◽  
Special Issue

In this issue, we are featuring fifteen papers devoted to intelligent technologies, fuzzy systems and their applications as a special issue of the journal. The papers are selected from papers accepted and presented at the joint Third International Conference on Intelligent Technologies and Third Vietnam-Japan Symposium on Fuzzy Systems and Applications (InTech/VJFuzzy'2002) that was held in Hanoi, Vietnam on December 3-5, 2002. In InTech/VJFuzzy'2002, there was a wide spectrum of research topics on artificial intelligence, fuzzy systems, soft computing, and related fields such as"fuzzy logic", "fuzzy set theory", "fuzzy systems", "AI techniques", "Bayesian networks", "genetic algorithms", "neural networks", "knowledge discovery and data mining", "speech recognition", "soft computing in medicine", among others. More than 60 papers were accepted and presented by authors from many countries, including Australia, China, India, Korea, Germany, France, Thailand, Taiwan, Japan, Vietnam, and U.S.A. Fifteen papers that received outstanding recommendations from its reviews were selected in this special issue. The topics addressed by these selected papers include fuzzy rule systems, fuzzy inference methods, fuzzy and rough models, problem solving with equivalent transformation, genetic algorithms, reinforcement learning, non–monotonic reasoning, support vector machines, Hedge algebra, intelligent control, natural language understanding, self–organizing map learning, soft computing and data mining in medicine. As editors of this special issue, we would like to express our sincere gratitude to paper's authors in this issue. Our special thanks go to the anonymous referees for their excellent job, Ms. Kumiko Sato for her help in coordinating the publication of the issue, the Editorial Board of JACIII, especially Professor Kaoru Hirota for his great support and encouragement. Finally, we wish to thank Professors Hung T. Nguyen, Michio Sugeno and Pratit Santiprabhob for their help and contribution to InTech/VJFuzzy'2002. Without their support, the InTech/VJFuzzy'2002 and this issue would not be possible.

scholarly journals Proficiency Differences in Syntactic Processing of Monolingual Native Speakers Indexed by Event-related Potentials

2010 ◽  
Vol 22 (12) ◽  
pp. 2728-2744 ◽  
Author(s):  
Eric Pakulak ◽  
Helen J. Neville
Keyword(s):  
Language Proficiency ◽  
Language Processing ◽  
English Language ◽  
Native Speakers ◽  
Memory Span ◽  
Wide Spectrum ◽  
Event Related Potentials ◽  
Related Potentials ◽  
Native Speakers Of English ◽  
Proficiency Scores

Although anecdotally there appear to be differences in the way native speakers use and comprehend their native language, most empirical investigations of language processing study university students and none have studied differences in language proficiency, which may be independent of resource limitations such as working memory span. We examined differences in language proficiency in adult monolingual native speakers of English using an ERP paradigm. ERPs were recorded to insertion phrase structure violations in naturally spoken English sentences. Participants recruited from a wide spectrum of society were given standardized measures of English language proficiency, and two complementary ERP analyses were performed. In between-groups analyses, participants were divided on the basis of standardized proficiency scores into lower proficiency and higher proficiency groups. Compared with lower proficiency participants, higher proficiency participants showed an early anterior negativity that was more focal, both spatially and temporally, and a larger and more widely distributed positivity (P600) to violations. In correlational analyses, we used a wide spectrum of proficiency scores to examine the degree to which individual proficiency scores correlated with individual neural responses to syntactic violations in regions and time windows identified in the between-groups analyses. This approach also used partial correlation analyses to control for possible confounding variables. These analyses provided evidence for the effects of proficiency that converged with the between-groups analyses. These results suggest that adult monolingual native speakers of English who vary in language proficiency differ in the recruitment of syntactic processes that are hypothesized to be at least in part automatic as well as of those thought to be more controlled. These results also suggest that to fully characterize neural organization for language in native speakers it is necessary to include participants of varying proficiency.

scholarly journals Editorial

2016 ◽  
Vol 9 ◽  
Author(s):  
Pamela Myles
Keyword(s):  
Treatment Fidelity ◽  
Vital Role ◽  
Evidence Based ◽  
Special Edition ◽  
Special Issue

Welcome to this Special Issue of tCBT. Our focus in this special edition of the journal is on supervision. Few would argue the vital role of supervision during CBT training and beyond to ensure treatment fidelity to evidence-based protocols. I would like to take this opportunity to thank Professors Derek Milne and Robert Reiser for kindly acting as guest editors. In addition, we are grateful for their fine contributions to the supervision literature in this particular edition of the journal. Thanks too to Professor Cory Newman from the tCBT editorial board for contributing to the overarching paper provided by Professors Milne and Reiser. Thanks also to all the authors for their fine contributions and to our reviewers who gave so generously of their time to comment on the submitted manuscripts. Our intention is to publish one Special Issue a year, next year we look forward to a special edition with a focus on ‘complexity’ with guest editors Dr Claire Lomax and Dr Stephen Barton from Newcastle University.

scholarly journals Preface to special issue: lightweight and practical formal methods in the design and analysis of safety-critical systems

2013 ◽  
Vol 23 (4) ◽  
pp. 675-675
Author(s):  
AZER BESTAVROS ◽  
ASSAF KFOURY
Keyword(s):  
Computer Science ◽  
Formal Methods ◽  
Wide Spectrum ◽  
Critical Systems ◽  
Research Groups ◽  
Special Issue ◽  
Mathematical Structures ◽  
Safety Critical ◽  
Safety Critical Systems ◽  
Final Selection

The papers included in this special issue of Mathematical Structures in Computer Science were selected from a larger set we solicited from leading research groups on both sides of the Atlantic. They cover a wide spectrum of tutorials, recent results and surveys in the area of lightweight and practical formal methods in the design and analysis of safety-critical systems. All the papers we received were submitted to a rigorous process of review and revision, based on which we made our final selection.

scholarly journals Special Issue in Artificial Intelligence

2019 ◽  
Vol 30 (1) ◽  
pp. 7-8
Author(s):  
Dora Maria Ballesteros
Keyword(s):  
Artificial Intelligence ◽  
Communication Networks ◽  
Language Processing ◽  
Autonomous Systems ◽  
Big Data Analytics ◽  
Human Robot Interaction ◽  
Support Vector ◽  
Special Issue ◽  
Science And Engineering ◽  
Robot Interaction

Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes it possible for machines to learn from data. Artificial Intelligence applications include prediction, recommendation, classification and recognition, object detection, natural language processing, autonomous systems, among others. The topics of the articles in this special issue include deep learning applied to medicine [1, 3], support vector machine applied to ecosystems [2], human-robot interaction [4], clustering in the identification of anomalous patterns in communication networks [5], expert systems for the simulation of natural disaster scenarios [6], real-time algorithms of artificial intelligence [7] and big data analytics for natural disasters [8].

scholarly journals Special issue on deep learning for natural language processing

Computing ◽  
2020 ◽  
Vol 102 (3) ◽  
pp. 601-603
Author(s):  
Wei Wei ◽  
Jinsong Wu ◽  
Chunsheng Zhu
Keyword(s):  
Deep Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Special Issue

scholarly journals Special Issue: Novel Advances and Approaches in Biomedical Materials Based on Calcium Phosphates

Materials ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 405 ◽  
Author(s):  
Michael Mucalo
Keyword(s):  
Calcium Phosphate ◽  
Cell Attachment ◽  
Calcium Phosphates ◽  
Wide Spectrum ◽  
Special Issue ◽  
Dolomitic Marble ◽  
Biomedical Materials ◽  
Surface Contaminants ◽  
Innovative Solutions ◽  
Enhance Cell Attachment

Research on calcium phosphate use in the development and clinical application of biomedical materials is a diverse activity and is genuinely interdisciplinary, with much work leading to innovative solutions for improvement of health outcomes. This Special Issue aimed to summarize current advances in this area. The nine papers published cover a wide spectrum of topical areas, such as (1) remineralisation pastes for decalcified teeth, (2) use of statins to enhance bone formation, (3) how dolomitic marble and seashells can be processed into bioceramic materials, (4) relationships between the roughness of calcium phosphate surfaces and surface charge with the effect on human MRC osteogenic differentiation and maturation being investigated, (5) rheological and mechanical properties of a novel injectable bone substitute, (6) improving strength of bone cements by incorporating reinforcing chemically modified fibres, (7) using adipose stem cells to stimulate osteogenesis, osteoinduction, and angiogenesis on calcium phosphates, (8) using glow discharge treatments to remove surface contaminants from biomedical materials to enhance cell attachment and improve bone generation, and (9) a review on how classically brittle hydroxyapatite based scaffolds can be improved by making fibre-hydroxyapatite composites, with detailed analysis of ceramic crack propagation mechanisms and its prevention via fibre incorporation in the hydroxyapatite.

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