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Keywords: deep learning
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090901.
Paper No: JCISE-23-1033
Published Online: June 7, 2024
... deviation of the residuals where MAD = median(| r |). The proposed deep learning method was trained using run-to-fail (offline) monitoring data where the EOD sequence of each discharge cycle expressed a decreasing trend that ends at 0 s. Therefore, the proposed method will output a sequence of EOD...
Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 041005.
Paper No: JCISE-23-1090
Published Online: January 8, 2024
... by stepLR; the process is shown in Fig. 13 , and the model loss gradually converges after 20 epochs of training. The experimental environment is described as follows: deep learning open-source framework Pytorch, Windows 10, python 3.9, Intel Xeon Gold 6230R processor, and NVIDIA Quadro RTX5000 Graphic...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011010.
Paper No: JCISE-23-1088
Published Online: November 30, 2023
...@stonybrook.edu 1 Corresponding author. Email: anurag.purwar@stonybrook.edu 19 02 2023 01 11 2023 02 11 2023 30 11 2023 planar linkage mechanisms simulation machine learning deep learning object detection Directorate for Engineering 10.13039/100000084 1563413...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 041001.
Paper No: JCISE-22-1294
Published Online: November 24, 2023
... in severe cases when there are defects in the riveted parts. A deep learning detection model is proposed that integrates atrous convolution and dynamic convolution to identify defects of self-piercing riveting parts efficiently to overcome the problem in quality inspection after the body self-piercing...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011008.
Paper No: JCISE-23-1067
Published Online: October 27, 2023
... 1 Corresponding author. Email: anurag.purwar@stonybrook.edu 11 02 2023 06 10 2023 06 10 2023 27 10 2023 planar four-bar linkage path synthesis Fourier descriptors wavelets variational autoencoder neural networks machine learning deep learning Division...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. March 2024, 24(3): 031002.
Paper No: JCISE-22-1316
Published Online: October 9, 2023
... the deployment of this technology in practice. This research proposes to estimate the six degrees-of-freedom pose of a human foot from a color image using deep learning models to solve the problem. We construct a training dataset consisting of synthetic and real foot images that are automatically annotated...
Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060816.
Paper No: JCISE-23-1117
Published Online: August 3, 2023
...Rishi Malhan; Satyandra K. Gupta There is a growing interest in using deep learning technologies within the manufacturing industry to improve quality, productivity, safety, and efficiency, while also reducing costs and cycle time. This position paper discusses the applications of deep learning...
Topics: Manufacturing
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011003.
Paper No: JCISE-23-1025
Published Online: June 23, 2023
... a deep learning (DL) algorithm that predicts UUVs’ resistance with different hull shapes under different velocities and attack angles with the particle swarm optimization (PSO) algorithm for UUV hull design. We tested the proposed methodology in a path energy consumption-based experiment, where...
Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060811.
Paper No: JCISE-23-1055
Published Online: June 5, 2023
... the given task on, say, location of joints, which could enable users to directly synthesize mechanisms with specific properties. The basic premise of the deep learning-driven robot mechanisms is that we want to create a probabilistic distribution of output motions of a variety of mechanisms including...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021007.
Paper No: JCISE-22-1019
Published Online: June 6, 2022
... ferrograph (OLVF) apparatus is used to obtain online measurements of wear particle quantities, and monitor the wearing of a four-ball tribometer under different lubrication conditions, and several popular deep learning algorithms are evaluated for their effectiveness in providing maintenance decisions...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2022, 22(5): 051005.
Paper No: JCISE-21-1096
Published Online: April 4, 2022
... Separable Convolutions ,” 29th British Machine Vision Conference (BMVC 2018) , Newcastle, UK , Sept. 2–6 , https://arxiv.org/abs/1808.05517 [18] Chollet , F. , 2016 , “ Xception: Deep Learning With Depthwise Separable Convolutions ,” CoRR abs/1610.02357 . [19] Wu , H. , Zhang...
Journal Articles
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Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. August 2021, 21(4): 040801.
Paper No: JCISE-20-1181
Published Online: February 9, 2021
... a specific class of problems. However, these techniques do not handle noise, variations in lighting conditions, and backgrounds with complex textures. In recent times, deep learning has been widely explored for use in automation of defect detection. This survey article presents three different ways...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021005.
Paper No: JCISE-20-1061
Published Online: October 13, 2020
... . 10.1214/aoms/1177729694 deep generative models path synthesis planar mechanisms machine learning deep learning Kinematic synthesis of mechanisms dates back to centuries. However, a systematic treatment of the synthesis process has been largely missing from the literature. True...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031006.
Paper No: JCISE-19-1172
Published Online: March 25, 2020
... this problem, different supervised machine learning algorithms for object recognition are analyzed. smart logistics supervised machine learning deep learning container routing automated labeling applied artificial intelligence artificial intelligence computer-aided manufacturing engineering...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021007.
Paper No: JCISE-19-1118
Published Online: January 3, 2020
... to handle the features extracted from the vibration signal because of the large data quantity, complex feature relations, and limited degeneration mechanisms. In this paper, a deep learning-based approach is proposed to predict the failure of the complex equipment. To supply plenty of features, three...