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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
P-Reader: A Clue-Inspired Model for Machine Reading Comprehension
With the widespread use of web applications, a large amount of textual content is generated on the Internet continuously. In order to analyze and mine the information contained in the text, machine reading com...
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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
PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network
In recent years, the emergence and rapid spread of multi-drug resistant bacteria has become a serious threat to global public health. Antibiotic susceptibility testing (AST) is used clinically to determine the...
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Chapter and Conference Paper
An Algorithm for New Energy Battery SOH Prediction Based on Deep Learning
To solve the problem of low accuracy of new energy power battery SOH prediction, this paper proposes a deep learning based battery health state prediction algorithm. By analyzing the charging and discharging c...
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Chapter and Conference Paper
Differential Distribution Characteristics of Tight Lithologic Gas Reservoirs in Xujiaweizi Fault Depression
Xujiaweizi fault depression is an important natural gas exploration area in Songliao Basin. However, exploration and deployment of different types of gas reservoirs are restricted by the lack of understanding ...
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Chapter and Conference Paper
Self Question-Answering: Aspect Sentiment Triplet Extraction via a Multi-MRC Framework Based on Rethink Mechanism
The purpose of Aspect Sentiment Triplet Extraction (ASTE) is to extract a triplet, including the target or aspect, its associated sentiment, and related opinion terms that explain the underlying cause of the s...
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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
Construction of an Index System for the Evaluation of the Degree of Coordination of the Energy-Economy-Environment System and Empirical Analysis—Based on Data of Shenzhen
This research first integrated the China Sustainable Development Indicator System (CSDIS) with the energy-economy-environment system, and constructed the index system for the evaluation of the degree of coordi...
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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
Rapid Methane Hydrate Formation in Open-Cell Copper Foam
Rapid methane hydrate formation with high gas storage capacity is very important for the application of natural gas hydrates technology. Three pieces of open-cell copper foam (CF) with different pore densities...
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Chapter and Conference Paper
Visualization of TBAB Hydrate in Confined Small Channels
TBAB (tetrabutylammonium bromide) can generate semi-cage hydrate at atmospheric pressure, which has high energy storage density and can be applied to cold storage technology. Small channel has the characterist...
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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
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Conventional self-supervised monocular depth prediction methods are based on a static environment assumption, which leads to accuracy degradation in dynamic scenes due to the mismatch and occlusion problems in...
