Results 11 to 20 of about 4,569,282 (327)
Deep Features for Training Support Vector Machines [PDF]
Journal of Imaging, 2021 Features play a crucial role in computer vision. Initially designed to detect salient elements by means of handcrafted algorithms, features now are often learned using different layers in convolutional neural networks (CNNs). This paper develops a generic computer vision system based on features extracted from trained CNNs.
Nanni L., Ghidoni S., Brahnam S.
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Proposal of a feature recognition method to reflect design information
Nihon Kikai Gakkai ronbunshu, 2020 Manufacturing industries have tended towards high-mix low-volume production in recent years. As a result, there is always strong impetus to shorten the manufacturing lead time of mechanical products.
Yuki INOUE, Keiichi NAKAMOTO
doaj +1 more source
Hierarchical featured state machines [PDF]
Science of Computer Programming, 2019 Abstract Variants of the Finite State Machine (FSM) model have been extensively used to describe the behavior of reactive systems. In particular, several model-based testing techniques have been developed to support test case generation from FSMs and test case execution.
Vanderson Hafemann Fragal +2 more
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Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization [PDF]
Expert systems with applications, 2020 Studies on manufacturing cost prediction based on deep learning have begun in recent years, but the cost prediction rationale cannot be explained because the models are still used as a black box. This study aims to propose a manufacturing cost prediction
Soyoung Yoo, Namwoo Kang
semanticscholar +1 more source
On Feature Scaling of Recursive Feature Machines
, 2023 In this technical report, we explore the behavior of Recursive Feature Machines (RFMs), a type of novel kernel machine that recursively learns features via the average gradient outer product, through a series of experiments on regression datasets. When successively adding random noise features to a dataset, we observe intriguing patterns in the Mean ...
Gupta, Arunav +3 more
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Nihon Kikai Gakkai ronbunshu, 2015 A new methodology to automate machining operation planning is proposed. A new machining operation plan is reconfigured from past case data or past machining operation data stored in the database. Machining information, e.g.
Yusaku SHINOKI +3 more
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Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2020 Multi-tasking machine tools that can deal with several kinds of machining methods including turning and 5-axis control milling are attracted to achieve highly efficient machining in recent years.
Yuto WATANABE, Keiichi NAKAMOTO
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Visual Computing for Industry, Biomedicine, and Art, 2022 Precise control of machining deformation is crucial for improving the manufacturing quality of structural aerospace components. In the machining process, different batches of blanks have different residual stress distributions, which pose a significant ...
Yujie Zhao +4 more
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Proposal of a machining feature recognition method to reflect product and manufacturing information
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 The recognition of machining features has been considered an important technology in the development of computer-aided process planning (CAPP) systems. Various machining feature recognition methods have been devised that use the geometric information of ...
Tetsuya ASANO +2 more
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Method of determining the process applied for feature machining : experimental validation of a slot [PDF]
, 2007 In this paper, we will be evaluating the "manufacturability" levels for several machining processes of "slot" feature. Using the STEP standard, we will identify the slot feature characteristics. Then, using the ascendant generation of process method, we
D'ACUNTO, Alain, MARTIN, Patrick
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