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Movie Box Office Prediction Based on IFOA-GRNN
Predicting movie box office has received extensive attention from academia and industry. At present, the main method of forecasting movie box office is subjective prediction, which is not widely accepted due to its accuracy and applicability.
Wei Lu, Xiaoqiao Zhang, Xinchen Zhan
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MSLFuzzer: black-box fuzzing of SOHO router devices via message segment list inference
The popularity of small office and home office routers has brought convenience, but it also caused many security issues due to vulnerabilities. Black-box fuzzing through network protocols to discover vulnerabilities becomes a viable option.
Yixuan Cheng +5 more
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Multi-Category Gesture Recognition Modeling Based on sEMG and IMU Signals
Gesture recognition based on wearable devices is one of the vital components of human–computer interaction systems. Compared with skeleton-based recognition in computer vision, gesture recognition using wearable sensors has attracted wide attention for ...
Yujian Jiang +4 more
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Multiturn dialogue generation by modeling sentence-level and discourse-level contexts
Currently, multiturn dialogue models generate human-like responses based on pretrained language models given a dialogue history. However, most existing models simply concatenate dialogue histories, which makes it difficult to maintain a high degree of ...
Yang Yang +3 more
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Design of a miniaturized ultrawideband and low scattering antipodal vivaldi antenna array
This paper presents a miniaturized ultra-wideband (UWB) antipodal Vivaldi antenna (AVA) array with low-scattering characteristics integrated a hybrid diffusive-absorptive metasurface. Periodic elliptical slots at the outer edges and a dielectric lens are
Jia Liu +3 more
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Table to text generation with accurate content copying
Generating fluent, coherent, and informative text from structured data is called table-to-text generation. Copying words from the table is a common method to solve the “out-of-vocabulary” problem, but it’s difficult to achieve accurate copying.
Yang Yang +3 more
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A Survey of Full-Cycle Cross-Modal Retrieval: From a Representation Learning Perspective
Cross-modal retrieval aims to elucidate information fusion, imitate human learning, and advance the field. Although previous reviews have primarily focused on binary and real-value coding methods, there is a scarcity of techniques grounded in deep ...
Suping Wang +4 more
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Virtual simulation can solve the challenges of high cost, long cycle time, and inaccessibility in traditional experimental teaching, which is far-reaching for talent training.
Keyun Zhu +4 more
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VSAM-Based Visual Keyword Generation for Image Caption
Image caption is to understand and describe the visual content, which is expected to be applied in automatic news reporting in future. In recent years, there has been an increasing interest in an Encoder-Decoder framework for image caption: the encoder ...
Suya Zhang +3 more
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An Improved Orthogonal Matching Pursuit Algorithm for CS-Based Channel Estimation
Wireless broadband transmission channels usually have time-domain-sparse properties, and the reconstruction of these channels using a greedy search-based orthogonal matching pursuit (OMP) algorithm can effectively improve channel estimation performance ...
Lu Si, Weizhang Xu, Xinle Yu, Hang Yin
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