Supply chain risk prediction has become increasingly critical as organizations navigate complex and volatile environments characterized by rapid market changes, geopolitical uncertainties, and supply disruptions. In t...
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Aiming at the problem of inaccurate extraction of fault features and high misclassification rate of bearings in unbalanced data, a rolling bearing fault diagnosis method based on improved Data Augmentation Generative ...
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An artificial intelligence (AI) system works by combining a computer program and algorithms to make a device more efficient and intelligent for tasks that are typically performed by humans. Deep learning, machine lear...
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Games, recognized as the ninth art, have significantly evolved with advancements in technology, enhancing the realism of game experiences through virtual reality and lifelike animations. This paper focuses on designin...
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Aiming at the problems of long length, complex structure, serious nesting and many types of entities in the field of tourism, a method of tourism entity recognition based on BERT-BiLSTM-TextCNN-Attention-CRF model was...
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Under the background of the rapid development of big data and artificial intelligence, the rapid development of mobile communication has accelerated the development process of 5G technology. 5G has comprehensively aff...
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In order to improve the effect of small target detection, this paper proposes a small target detection method based on dilated convolution and bidirectional feature fusion, on the basis of YOLOv7 algorithm, the sensor...
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To address the critical challenge of pupil segmentation accuracy in medical image analysis, this paper proposes an innovative pupil segmentation method based on an enhanced TransUNet deep neural network. The proposed ...
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Human-computer interaction has been transformed by Automatic Speech Recognition (ASR), opening the door to uses including voice-activated devices, assistive technology, and real-time transcription. But it's still ...
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In recent years, faced with the double challenges of global water scarcity and urban population surge, the traditional artificial water meter reading method is low in efficiency and difficult to meet the needs of mode...
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