Results 21 to 30 of about 5,727,454 (298)
Information, 2022 Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system.
Turdi Tohti +2 more
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New Journal of Physics, 2023 Herein, a multiple bulging black phosphorus (BP)-based metasurface is proposed for studying its reflection responses and sensing performances through the finite-difference time-domain simulation method. It is shown that, the reflection dips are caused by
Nengxun Yang +9 more
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Use AF-CNN for End-to-End Fiber Vibration Signal Recognition
IEEE Access, 2021 Traditional optical fiber vibration signal (OFVS) recognition research focuses on signal endpoint detection and feature extraction. These two aspects directly determine the success of OFVS recognition.
Saisai Ruan +5 more
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Fault Detection of Gearbox from Inverter Signals Using Advanced Signal Processing Techniques [PDF]
, 2012 The gear faults are time-localized transient events so time-frequency analysis techniques (such as the Short-Time Fourier Transform, Wavelet Transform, motor current signature analysis) are widely used to deal with non-stationary and nonlinear signals ...
Gu, Fengshou +7 more
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Object Detection Based on YOLOv5 and GhostNet for Orchard Pests
Information, 2022 Real-time detection and identification of orchard pests is related to the economy of the orchard industry. Using lab picture collections and pictures from web crawling, a dataset of common pests in orchards has been created.
Yitao Zhang +4 more
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Investigation into Recognition Technology of Helmet Wearing Based on HBSYOLOX-s
Applied Sciences, 2022 This work proposes a new approach based on YOLOX model enhancement for the helmet-wearing real-time detection task, which is plagued by low detection accuracy, incorrect detection, and missing detection.
Teng Gao, Xianwu Zhang
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MS-Net: a novel lightweight and precise model for plant disease identification
Frontiers in Plant Science, 2023 The rapid development of image processing technology and the improvement of computing power in recent years have made deep learning one of the main methods for plant disease identification.
Siyu Quan +9 more
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Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding
IEEE Access, 2021 Collaborative filtering is the one of the most successful methods used by recommendation system to solve the information overload problem. Nevertheless, most collaborative filtering only uses explicit rating information to model the user, ignoring the ...
Wei Zeng, Jiwei Qin, Chunting Wei
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Inspired by the impressive achievements of convolutional neural networks in various computer vision tasks and the effective role of attention mechanisms, this article proposes a two-branch fusion network based on attention feature fusion (AFF) called ...
Xiwu Zhong +7 more
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Spreadsheet signal detection [PDF]
Behavior Research Methods, Instruments, & Computers, 1999 A number of studies in perception, attention, and memory employ signal detection theory (SDT) to assess the accuracy of an observer's detection or discrimination performance. Some of the problems that students have with understanding and using SDT are associated with the calculations needed to obtain SDT parameters and predictions.
openaire +2 more sources