This paper explores deep learning methods for bridge surface defect detection, particularly an improved model based on YOLOv7. To address the detection of bridge-type defects, a Dual-Stream Attention Module (DSAM) and...
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Groundwater, a vital resource for various purposes, faces increasing threats to its quality due to factors like overuse, pollution and climate change. In the semi-arid climate of the state of Telangana, India, exacerb...
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Session-based recommendation aims at predicting the next interaction based on short-term behaviors within an anonymous session. Conventional session-based recommendation methods primarily focus on studying the sequent...
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Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' and the correct option is on...
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Ridesharing benefits the economy and the environment. In multi-hop ridesharing, passengers are permitted to switch vehicles within a single trip, extending the flexibility of conventional ridesharing. Nonetheless, veh...
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Atmospheric turbulence causes refractive index fluctuations, and atmospheric molecules absorb and scatter light wave energy, causing the power density of the laser to reach the target to decrease, restricting the appl...
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Global potato production is at risk because of potato leaf diseases, which cause huge economic losses. To ensure crop productivity and disease management, their efficient and accurate localization is of utmost importa...
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Aiming at the problem of Insufficient feature extraction for data sets in video anomaly detection, an enhanced detection method combining masked convolution and channel attention is proposed. The auto-encoder structur...
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The computer geological model is the approximate model of the actual complex geological phenomenon. During the modeling process, uncertainty from various sources can lead to deterioration of the quality of geological ...
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The development and optimisation of energy-efficient communication protocols that are specifically adapted for Internet of Things (IoT) devices is the focus of this research. The proliferation of interoperable bias ha...
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