The proceedings contain 107 papers. The topics discussed include: automobile airbag defect detection algorithm based on improved faster RCNN;research and application of digital management of vehicles based on the new ...
ISBN:
(纸本)9781665439602
The proceedings contain 107 papers. The topics discussed include: automobile airbag defect detection algorithm based on improved faster RCNN;research and application of digital management of vehicles based on the new generation of information technology;interference in Strauss wireless networks;research on the integrated development of stadiums and stadiums under the background of ‘Internet +’;study on the performance of microcatheter commonly used in nerve endovascular treatment;PFF-FPN: a parallel feature fusion module based on FPN in pedestrian detection;visual odometry integrated with self-supervised monocular depth estimation;TripletGAN VeinNet: palm vein recognition based on generative adversarial network and triplet loss;a hemispheric surface improvement method based on parametric method;and relationship between timer resolution and synchronization message repetition frequency in a synchronized wireless sensor network.
The proceedings contain 62 papers. The topics discussed include: the detection of Hela cells in brightfield images;sentiment analysis of Chinese product reviews based on BERT word vector and hierarchical bidirectional...
ISBN:
(纸本)9781665422048
The proceedings contain 62 papers. The topics discussed include: the detection of Hela cells in brightfield images;sentiment analysis of Chinese product reviews based on BERT word vector and hierarchical bidirectional LSTM;insincere question classification by deep neural networks;a multi-objective learning algorithm for related recommendations;can ‘microVM’ become the next generation computing platform? performance comparison between light weight virtual machine, container, and traditional virtual machine;research on recommendation algorithm based on cross-grained emotion analysis;improved Kerberos protocol based on sliding window and its formal analysis;and research on countermeasures of improving competitiveness of equipment manufacturing enterprises based on factor analysis.
The proceedings contain 162 papers. The topics discussed include: summary and experiment on the exploration of brain tumor image classification recognition: initial experience of artificialintelligence technology;res...
ISBN:
(纸本)9781665421867
The proceedings contain 162 papers. The topics discussed include: summary and experiment on the exploration of brain tumor image classification recognition: initial experience of artificialintelligence technology;research progress of monitoring system based on wearable fall detection equipment for the elderly;automatic classification of Chinese long texts based on deep transfer learning algorithm;analysis of library loan records based on hybrid apriori- genetic algorithm;mixing pooling instead of class token representation learning for vision transformer;an gradient-based continuous-time trajectory optimization method for real-time collision avoidance on collaborative robot;research on the scheduling strategy of intelligent manufacturing workshop based on machine learning;a firefly optimization fault-tolerant control algorithm for 4500m human occupied vehicle;a blockchain-based smart agriculture privacy protection data aggregation scheme;and improved method of multi-objective particle swarm algorithm learning factor based on fitness change.
The proceedings contain 177 papers. The topics discussed include: a big data encryption method based on Lorenz and Feistel structures;a joint extraction strategy for Chinese medical text based on sequence tagging;a ne...
ISBN:
(纸本)9781665468039
The proceedings contain 177 papers. The topics discussed include: a big data encryption method based on Lorenz and Feistel structures;a joint extraction strategy for Chinese medical text based on sequence tagging;a new design of vehicle lean management system;a new hybrid model for short-term volatility forecasting;a new multiple targets tracking algorithm based on improved MHT algorithm;a novel face recognition algorithm based on numerical value of facial feature points;a object detection algorithm incorporates lightweight network and dual attention mechanism;a prediction model for slope stability based on the support vector machine;a value meta-model for crossover services modeling;advance algorithms of Secchi depth remote sensing;an answer recommendation algorithm based on semantic fusion heterogeneous information network;an efficient data analysis method for typical meteorological year development considering climate change during the past decades;and an improved multi-objective grey wolf optimization algorithm based on multiple strategies.
To scientifically evaluate the effectiveness of blended teaching, an evaluation index system was constructed using mathematical and statistical methods. The system systematically analyzed the coverage of teaching cont...
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artificialintelligence (AI) is an emerging technical discipline that simulates, expands and expands human intelligence. This is the study of how to make computers mimic certain intellectual behaviors of people. The e...
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"The 17th international Symposium on Novel and Nano Materials (ISNNM)" was held in Jeju, Korea from 14th to 18th November, 2022, and the proceedings for the session of "Integrated computer-Aided Process...
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"The 17th international Symposium on Novel and Nano Materials (ISNNM)" was held in Jeju, Korea from 14th to 18th November, 2022, and the proceedings for the session of "Integrated computer-Aided Process engineering (ICAPE) were published in Feb, 2023, as a special issue of Materials Transactions (Vol. 64, No. 9). Following the first special issue, which covered the content of the ICAPE session at the international Symposium on Innovation in Materials Processing (ISIMP), this second special issue also presents various topics, including computational materials science, data-driven optimization, as well as experimental validation of optimized process. This article offers a concise overview of several key topics presented at the second special issue, including: macro-scale numerical analysis through finite element methods (FEM), and microstructure simulations using phase-field modelling (PFM), as well as various optimization methods such as machine learning (ML), artificialintelligence (AI), and design of experiments (DoE).
Multimodal corpus is a new type of multimedia teaching aid tool that was born and widely used in the current social development and educational reform process. It is mainly based on computer technology and network tec...
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Multimodal corpus is a new type of multimedia teaching aid tool that was born and widely used in the current social development and educational reform process. It is mainly based on computer technology and network technology, and uses various multimedia materials as corpus to establish a more comprehensive English database. Corpus is increasingly used in English-Chinese multimodal teaching. Combining the content of the corpus with modern information technology will help to better understand the meaning, usage and collocation of English and Chinese multimodality, and then improve the initiative of autonomous learning. Furthermore, English-Chinese multimodality is a fixed or semi-fixed programmed language, which can be directly extracted from memory according to the context during use, which can effectively improve learners' writing efficiency and overcome the negative impact of native language transfer. Facing the task of sentiment analysis, this article has taken the text semantic representation technology based on representation learning as the main method, and carries out a series of researches from the definition of implicit emotion, the characteristics of language expression and the recognition method. Finally, in the language system of modern Chinese, it is found that there are many sentence patterns that are very similar to the middle verb structure in language expression, but the efficiency is still improved by 3.6%. Compared with traditional methods, the English-Chinese multimodal sentiment corpus method based on artificialintelligence can better reflect the application value of language, which also helps to feel the real context, change the way of thinking, and make the way of thinking more suitable for the language awareness of native speakers, thereby improving the vividness of language expression.
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