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Advanced Search Results For "CLASSIFICATION algorithms"

1 - 10 of 32,575 results for
 "CLASSIFICATION algorithms"
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A graph partitioning based cooperative coevolution for the batching problem in steelmaking production.

Publication Type: Academic Journal

Source(s): International Journal of Production Research; Oct2022, Vol. 60 Issue 19, p5876-5891, 16p, 4 Diagrams, 4 Charts

Abstract: Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However,...

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FRuDA: Framework for Distributed Adversarial Domain Adaptation.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Parallel & Distributed Systems. No2022, Vol. 33 Issue 11, p3153-3164. 12p.

Abstract: Breakthroughs in unsupervised domain adaptation (uDA) can help in adapting models from a label-rich source domain to unlabeled target domains. Despite these advancements, there is a lack of research on how uDA algorithms, particularly those based on ad...

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IoMT aware data collective quadratic ensembled cat boost module classification algorithm for non-invasive blood glucose monitoring in VLSI design.

Publication Type: Academic Journal

Source(s): Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 4, p4243-4253. 11p.

Abstract: Internet of Medical Things (IoMT) is the combination of medical devices and utilization by networking technologies. But, the response time and cost were not reduced. In order to address these issues, IoMT Aware Data Collective Quadratic Ensembled Cat B...

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Spatial Modeling of Maritime Risk Using Machine Learning.

Publication Type: Academic Journal

Source(s): Risk Analysis: An International Journal. Oct2022, Vol. 42 Issue 10, p2291-2311. 21p. 1 Diagram, 4 Charts, 2 Graphs, 6 Maps.

Abstract: Managing navigational safety is a key responsibility of coastal states. Predicting and measuring these risks has a high complexity due to their infrequent occurrence, multitude of causes, and large study areas. As a result, maritime risk models are gen...

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Comparative of classification algorithm: Decision tree, SVM, and KNN for heart diseases prediction.

Publication Type: Conference

Source(s): AIP Conference Proceedings. 11/02/2022, Vol. 2639 Issue 1, p1-6. 6p.

Abstract: Heart disease is one of the diseases that every year the death rate is always increasing. Early diagnosis of heart disease is very important because the patient is treated more quickly. In this study, machine learning classification algorithms Decision...

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Semi-overlap functions and novel fuzzy reasoning algorithms with applications.

Publication Type: Periodical

Source(s): Information Sciences. Oct2022, Vol. 614, p104-122. 19p.

Abstract: In order to get a more general result related on fuzzy implications that induced by aggregation functions, we relax the definition of general overlap functions, more precisely, removing its right-continuous, and introduce a new kind of aggregation func...

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XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems.

Publication Type: Periodical

Source(s): Information Sciences. Oct2022, Vol. 613, p139-160. 22p.

Abstract: Tree-based ensemble algorithms (TEAs) have had a transformative impact in various fields. However, when they are applied to real-time critical problems such as medical analysis, existing TEAs fall short of two-fold issues. The first is the trade-off am...

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Improved detection of Facebook anomalies and abnormalities using graph-based and machine learning techniques.

Publication Type: Conference

Source(s): AIP Conference Proceedings. 10/25/2022, Vol. 2398 Issue 1, p1-12. 12p.

Abstract: The explosive growth of online-Social-Networks and the vast number of their subscribers' data has played a major role at this time to the trend toward interest to detect suspicious and anomalous behaviours on this OSNs. Moreover, the attracted attacker...

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OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal.

Publication Type: Periodical

Source(s): Information Sciences. Oct2022, Vol. 614, p71-86. 16p.

Abstract: • One-class time series classification algorithm, OCSTN, discriminates between seen and unseen classes. • OCSTN is evaluated using two ballistocardiography (BCG) datasets to demonstrate its performance. • OCSTN shows fair AUC score and good processing ...

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A machine learning approach to nonlinear ultrasonics for classifying annealing conditions in austenitic stainless steel.

Publication Type: Academic Journal

Source(s): Journal of Applied Physics; 9/21/2022, Vol. 132 Issue 11, p1-10, 10p

Abstract: Copyright of Journal of Applied Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users ma...

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