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Titlebook: Advances in Machine Learning and Signal Processing; Proceedings of MALSI Ping Jack Soh,Wai Lok Woo,Mohd Shakir Saat Conference proceedings

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發(fā)表于 2025-3-21 17:26:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Machine Learning and Signal Processing
期刊簡稱Proceedings of MALSI
影響因子2023Ping Jack Soh,Wai Lok Woo,Mohd Shakir Saat
視頻videohttp://file.papertrans.cn/149/148708/148708.mp4
發(fā)行地址the latest research findings and innovations in the field of machine learning.and signal processing.wide range of topics.Identifiesfuture research directions.Providesaccess to numerous new algorithms.
學(xué)科分類Lecture Notes in Electrical Engineering
圖書封面Titlebook: Advances in Machine Learning and Signal Processing; Proceedings of MALSI Ping Jack Soh,Wai Lok Woo,Mohd Shakir Saat Conference proceedings
影響因子Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15–17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.?
Pindex Conference proceedings 2016
The information of publication is updating

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Toward Democratic Educational Researchcial neural network (ANN) classifier. The ANN learn from supervised and unsupervised training to classify the emotional contents in music data as sad, happy anger or calm. The efficiency of the ANN classifier is verified by a subjective test including inputs from annotators by manual categorization
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Detecting Neighbor Discovery Protocol-Based Flooding Attack Using Machine Learning Techniques,ktoranden und Assistenten, ihre T?tigkeiten als Gutachter und Mitherausgeber sowie auf insgesamt über 300 eigene Publikationen und Buchbeitr?gen. Zahlreiche praktische Beispiele, Tipps, Tricks und Warnungen vor Fallstricken sind leicht auf die eigene Situation übertragbar.?.978-3-642-37177-6978-3-642-37178-3
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1876-1100 nterest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.?978-3-319-81225-0978-3-319-32213-1Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Topology-Aware Mechanism to Improve Routing in Mobile Ad Hoc Networks,978-3-662-43347-8
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An Adaptive Learning Radial Basis Function Neural Network for Online Time Series Forecasting,978-3-662-57949-7
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