Application of Convolutional Neural Networks in Autonomous Driving Scene Understanding

Published: Feb. 27, 2025

With the rapid development of autonomous driving technology, environmental perception and scene understanding have become key factors to ensure safe driving. As a powerful deep learning algorithm, convolutional neural network (CNN) has demonstrated outstanding capabilities in image processing visual perception. This paper explores application CNN driving, analyzes its advantages classification, object detection, semantic segmentation, etc., especially performance real-time Through multi-level feature extraction, can identify understand important information such as road signs, pedestrians, vehicles from complex traffic scenes, providing accurate decision support for systems. The article also combination with other technologies RNN, reinforcement learning, multimodal data fusion, looks forward trend technology future, discusses challenges faced by corresponding solutions. research this paper, it is hoped that theoretical basis practical guidance will be provided further improve intelligence level safety

Language: Английский

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Market segmentation and demand forecasting of international tourism service trade based on CNN

Published: March 13, 2025

In the context of globalization and informatization, international tourism service trade has become an important part global economy. As changes in demand are affected by multiple factors such as economic situation, policy adjustments, consumer behavior, traditional forecasting methods have been unable to cope with complex market changes. Based on convolutional neural network (CNN) model, this study segmented forecasted market. Through multi-dimensional data, model can automatically extract features from effectively identify potential laws changes, provide accurate forecasts. Experimental results show that CNN high accuracy predicting macro trends major markets. However, certain errors dealing short-term fluctuations markets slow recovery. To end, future research optimize combining other deep learning models improve prediction computational efficiency model. The provides a scientific basis for decision-making industry promotes sustainable development industry.

Language: Английский

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Application of artificial intelligence in the field of psychological evaluation and intervention of college students

Published: April 10, 2025

With the rapid development of artificial intelligence (AI) technology, its application in field mental health is increasingly extensive. As an important group society, college students &039; problems have attracted much attention. This paper discusses present situation intervention psychological evaluation, and analyzes limitations. Aiming at speed accuracy a multi-modal model based on feature fusion decision proposed to integrate multi-dimensional data improve efficiency evaluation. The results show that performance better than traditional method, which pro vides support for intelligentization services. conclusion provides effective way solve limitation **************** ACKNOWLEDGEMENTS**************** work was supported by Innovation Training Project Guangdong Ocean University (Project No. CXXL2024113).

Language: Английский

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Research on the classification of dimensional performance and feature extraction of primary school students' core literacy in science curriculum

Published: March 5, 2025

The core competency-oriented curriculum reform has become an important issue in the current education field. In order to objectively evaluate development status of primary school students' literacy science courses, this study used cluster analysis method classify and its four dimensions into three different levels based on interview performance 235 students. results discriminant show that there are significant differences between types student groups, classification accuracy reaches 94.5%, which fully verifies scientificity reliability standard. On basis, combined with specific various students, quantitatively qualitatively described level, further revealed stage characteristics literacy. addition, criteria have been constructed, deeply explores trajectory Through descriptive statistics, variance (ANOVA), chi-square test multinomial logistic regression analysis, it was found students 'performance showed a progressive trend improvement grade, were grades. Specifically, lower grade mainly performed at first middle second upper mostly achieved third level. This finding not only verified growth law literacy, but also provided empirical support for phased training objectives education. **************** ACKNOWLEDGEMENTS**************** Thanks data by National-level Innovation Program Project Fund "Research Seedling Inspection Robot Technology Based Multi-source Information Fusion Deep Network" (No.: 202410451009); Jiangsu Provincial Natural Science Research General 20KJB530008); China Society Smart Engineering Intelligent Internet Things Devices Control Algorithms Data Analysis" ZHGC104432); Management Association "Comprehensive Application Robots Equipment Big Learning" GMZY2174); Key National Department Center Development Plan KXJS71057); Support Ministry Agriculture NYF251050).

Language: Английский

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Research on Sanxingdui Cultural Relic Geometry Based on Polar Coordinate Method and Linear Interpolation

Published: April 6, 2025

This paper focuses on the analysis of unearthed bronze solar wheel and gold mask. For wheel: Firstly, a plane coordinate system is established to transform three dimensional diagram into two map. Then, polar coordinates are introduced, linear interpolation constructed obtain curve equation cultural relics. Mathematical model needs be established, general internal arc should derived. With center as origin XOY, according circle by substituting disk data, sun can obtained. On XOY rectangular frame, through introducing coordinates, POINT command in CAD determine intersection five rays angle with horizontal axis. Substituting these equation, - ray To equations circular arc, need established. drawing four, six, eight, 12 patterns, it obtained adjusting θ between axis X CAD. **************** ACKNOWLEDGEMENTS**************** work supported ministry education industry-university cooperative project (Grant No.: 231106441092432), research practice integrating "curriculum thought politics" whole process graduation design Mechanical engineering major: (Grant. 30120300100-23-yb-jgkt03), integration mechanism "course-training-competition-creation-production" for innovation entrepreneurship mechanical majors applied local universities CXKT202405), manufacturing equipment school-level "gold class" construction 30120324001).

Language: Английский

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Practical inspection and exploration of assistive positioning and generative artificial intelligence empowering civil trials

Published: May 1, 2025

With the rapid development of artificial intelligence technology, application AI in judicial field is gradually expanding, especially civil trials, where auxiliary positioning and generative technology show great potential. Through intelligent case analysis, legal text retrieval, matching, document generation, can effectively improve efficiency, ensure quality judgments, reduce workload judges, promote fairness. However, still faces challenges such as technical adaptation, data privacy, ethical issues. This paper aims to explore how empower reveal its potential prospects by analyzing current status, principles, practical effects, trials. Studies have shown that introduction efficiency consistency but it also poses new system framework. In future, with continuous advancement improvement policy frameworks, will play an increasingly important role trials contribute transformation field.

Language: Английский

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