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Titlebook: Artificial Intelligence; Second CAAI Internat Lu Fang,Daniel Povey,Ruiping Wang Conference proceedings 2022 The Editor(s) (if applicable) a

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樓主: Sediment
61#
發(fā)表于 2025-4-1 05:36:44 | 只看該作者
62#
發(fā)表于 2025-4-1 08:30:22 | 只看該作者
Browsing Behavioral Intent Prediction on?Product Recommendation Pages of?E-commerce Platformoral intent. Nowadays, the Product Recommendation Page (PRP) has played an increasingly significant role of e-commerce platforms with the popularity of recommendation systems. However, past research on predicting user behavioral intent across e-commerce platforms may not be applicable to PRPs, where
63#
發(fā)表于 2025-4-1 11:46:10 | 只看該作者
An Optical Satellite Controller Based on?Diffractive Deep Neural Network variety of deep-neural-network (DNN) methods have been proposed to solve the problem, they are energy-consuming and computationally consuming, which limits their on-board deployments. In this work, we proposed a kind of diffractive-deep-neural-network-based optical satellite controller, and transfo
64#
發(fā)表于 2025-4-1 14:27:46 | 只看該作者
Incomplete Cigarette Code Recognition via?Unified SPA Features and?Graph Space Constraintsribution. Unfortunately, the recognition task for incomplete cigarette code often suffers from lowered recognition accuracy and the destruction of semantic context due to complex backgrounds and damaged characters. This paper proposes an end-to-end recognition network for incomplete cigarette code t
65#
發(fā)表于 2025-4-1 22:22:58 | 只看該作者
A Large-Scale Tobacco 3D Bin Packing Model Based on?Dual-Task Learning of?Group Blocks Dual-Task Learning of Group Blocks (GB-DTL). According to the Tobacco orders and vehicle information, the group block algorithm generates the group block set of the order. GB-DTL divides tobacco cargo packing into two tasks. The first task selects the next placed group block according to the hidden
66#
發(fā)表于 2025-4-2 02:33:54 | 只看該作者
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