35 Result(s)
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Chapter and Conference Paper
Maize Kernels Endosperm Feature Extraction Based on Genetic Algorithm Image Enhancement
Maize kernels endosperm is an important part of maize and has a close relationship with the physical characteristics of maize kernels, nutritional status, and post-breeding of maize. It also has important refe...
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Chapter and Conference Paper
Research on Online Detection Device and Method of Corn Grain Crushing Rate
For the direct grain harvesting combined harvester, the grain crushing rate is one of its important parameters, but in the actual harvest, the corn grain crushing rate is difficult to detect online. Aiming at ...
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Chapter and Conference Paper
Hierarchical Medical Services Data Sharing Scheme Based on Searchable Attribute Encryption
In the referral process of hierarchical medical services, it involves the problem of two-way medical data sharing services. In order to solve the problem of data security in this process, the article first use...
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Chapter and Conference Paper
A Medical Privacy Protection Model Based on Threshold Zero-Knowledge Protocol and Vector Space
Recent years have witnessed the rapid development of technologies such as the Internet and the Internet of Things, which have driven the development of all walks of life including economics, medicine, and so o...
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Chapter and Conference Paper
CCPC: A Hierarchical Chinese Corpus for Patronizing and Condescending Language Detection
Patronizing and Condescending Language (PCL) is a form of implicitly toxic speech aimed at vulnerable groups with the potential to cause them long-term harm. As an emerging field of toxicity detection, it stil...
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Chapter and Conference Paper
A Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition
Emotion cause recognition is a vital task in natural language processing (NLP), which aims to identify the reason of emotion expressed in text. Both industry and academia have realized the importance of the re...
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Chapter and Conference Paper
Entry Guidance with No-Fly Zone Avoidance for Hypersonic Glide Vehicle
An entry guidance algorithm with no-fly zone avoidance for hypersonic glide vehicles is proposed, which makes full use of the differential flatness property of longitudinal plane entry dynamics. The algorithm ...
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Chapter and Conference Paper
Memeplate: A Chinese Multimodal Dataset for Humor Understanding in Meme Templates
Humor plays an important role in human communication. Besides language, multimodal information is also of great significance in humor expression and understanding, which promotes the development of multimodal ...
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Chapter and Conference Paper
A Deep Learning Method for Salient Object Detection
Salient object detection is a traditional topic in computer vision that has attracted a lot of interest recent years. It detects the most salient object in an image and then segments the whole region of the sa...
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Chapter and Conference Paper
Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification
As the quantity of scientific publications grows significantly, manual indexing of literature becomes increasingly complex, and researchers have attempted to utilize techniques in Hierarchical Multi-label Text...
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Chapter and Conference Paper
The Nexus Between Air Pollution and Life Insurance Demand in China: Evidence from Deep Machine Learning
It is a certain fact that air pollution will damage the human body mechanism. While being aware of air pollution, one will surely become bad tempered in considering of the negative impact on his health, which ...
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Chapter and Conference Paper
MUMOR: A Multimodal Dataset for Humor Detection in Conversations
Humor detection attracts increased attention in natural language processing for its potential applications. Prior work focus on analyzing humor on isolated, textual data, but humor usually comes from the inter...
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Chapter and Conference Paper
Metaphor Recognition and Analysis via Data Augmentation
Metaphoric expression is widespread and frequently used to convey emotions. When it comes to metaphor recognition and analysis, there are still not enough samples for these tasks. In this study, we target on r...
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Chapter and Conference Paper
Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification
Interactive argument identification is an important research field in dialogical argumentation mining. This task aims to identify the argument pairs with the interactive relationship in the online forum. In th...
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Chapter and Conference Paper
AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation
Automatic pun generation is an interesting and challenging text generation task. In this study, we focus on the task of homographic pun generation by given a pair of word senses. Current efforts depend on temp...
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Chapter and Conference Paper
Weighted Pre-trained Language Models for Multi-Aspect-Based Multi-Sentiment Analysis
In recent years, aspect-based sentiment analysis has attracted the attention of many researchers with its wide range of application scenarios. Existing methods for fine-grained sentiment analysis usually expli...
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Chapter and Conference Paper
Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering
With the rapid development of the Internet, community question answering (CQA) platforms have attracted increasing attention over recent years, particularly in the biomedical field. On biomedical CQA platform...
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Chapter and Conference Paper
The Impact of China Manufacturing on the Environment
This paper bases on the Chinese manufacturing industries, evaluates the impact of commodity manufacturing on the environment from the perspective of commodity production. We mainly use I–O models to measure th...
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Chapter and Conference Paper
Homographic Puns Recognition Based on Latent Semantic Structures
Homographic puns have a long history in human writing, being a common source of humor in jokes and other comedic works. It remains a difficult challenge to construct computational models to discover the latent...
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Chapter and Conference Paper
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification
Video-based person re-identification (re-id), which aims to match people through videos captured by non-overlap** camera views, has attracted lots of research interest recently. In this paper, we propose a n...
