Science and Technology of Engineering, Chemistry and Environmental Protection最新文献_第2页

An Example of Machine Learning-Based Multifactor Dynamic Quantitative Stock Picking Models 基于机器学习的多因素动态量化选股模型实例

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/7n8qt956

Haocheng Sun

引用次数: 0

Sentiment Analysis for Film Reviews Based on Random Forest 基于随机森林的电影评论情感分析

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/5t8epb44

Dongling Zheng

引用次数: 0

A-share Trend Prediction Based on Machine Learning and Sentiment Analysis 基于机器学习和情感分析的 A 股趋势预测

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/52jy4c52

Jiaming Zhang

{"title":"A-share Trend Prediction Based on Machine Learning and Sentiment Analysis","authors":"Jiaming Zhang","doi":"10.61173/52jy4c52","DOIUrl":"https://doi.org/10.61173/52jy4c52","url":null,"abstract":"This study addresses the predictive challenges in China’s A-share market, characterized by high retail investor participation and significant policy impacts. We introduce a novel predictive model that leverages both machine learning algorithms and sentiment analysis to forecast market trends. The research utilizes comprehensive datasets, including real-time A-share market data and sentiment-derived data from stock-related news, processed via advanced machine learning techniques like Random Forest and sentiment analysis tools. Our approach innovatively combines traditional technical indicators with sentiment scores to enhance the predictive accuracy of the model. The findings suggest that integrating sentiment analysis significantly improves the model’s performance, evidenced by enhanced prediction metrics such as Mean Absolute Error (MAE) and R-squared values, which compare favorably before and after incorporating sentiment data. This study not only contributes to the existing financial prediction literature by providing a hybrid methodological approach but also offers practical implications for investors and policymakers in navigating the volatile A-share market.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"143 5‐6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAV Obstacle Avoidance Technology 无人机避障技术

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/vpv1ca75

Hongyi Wang

{"title":"UAV Obstacle Avoidance Technology","authors":"Hongyi Wang","doi":"10.61173/vpv1ca75","DOIUrl":"https://doi.org/10.61173/vpv1ca75","url":null,"abstract":"This article investigates the obstacle avoidance technology of unmanned aerial vehicles (UAVs). Firstly, the background, purpose, and significance of UAV obstacle avoidance technology are introduced. Then, the domestic and foreign research status is analyzed. Next, an overall plan for UAV obstacle avoidance is proposed, including demand analysis and system design. Afterwards, the theory and specific steps of binocular stereo vision obstacle positioning are discussed in detail, including camera calibration, image rectification, and stereo matching. Furthermore, methods for estimating obstacle motion states are researched. In addition, path planning methods for obstacle avoidance are explored, with a focus on the principles, issues, and improvement methods of artificial potential field method. Finally, the main achievements of this study are summarized, and future research directions are outlined. The innovation of this article lies in the proposal of an improved artificial potential field method, and the precise obstacle positioning achieved through binocular stereo vision. Future research can further optimize the path planning methods for obstacle avoidance to enhance the effectiveness and reliability of UAV obstacle avoidance.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"102 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A literature review of pneumonia detection algorithms based on deep learning and chest X-ray imaging 基于深度学习和胸部 X 光成像的肺炎检测算法文献综述

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/wpf17b07

Chenyu Wang

引用次数: 0

A Review: Drug Discovery Methods Based on Artificial Intelligence 综述：基于人工智能的药物发现方法

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/khh85h64

Jinhao Chen

引用次数: 0

Research on Urban Land Use based on Remote Sensing Technology 基于遥感技术的城市土地利用研究

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/9smr3z05

Xiaochun Xu

{"title":"Research on Urban Land Use based on Remote Sensing Technology","authors":"Xiaochun Xu","doi":"10.61173/9smr3z05","DOIUrl":"https://doi.org/10.61173/9smr3z05","url":null,"abstract":"The advancement of urbanization has brought urban land use change into the spotlight of research. Remote sensing technology, as the primary means of capturing this change, provides valuable data for research. The main research object of this paper is the four classification methods of land use in cities based on remote sensing technology, and it outlines the main roles and applications of these four classification methods. This paper concludes that the visual interpretation method is less efficient but widely used. In addition, the accuracy of supervised classification and deep learning methods for classification is low. Unsupervised classification is simple, but the results differ greatly from reality. The above commonly used land classification methods have their advantages and disadvantages, and their combined use ensures that remote sensing technology provides real-time, effective, and comprehensive land use information for urban planning and management. Finally, this paper looks forward to the combination of remote sensing technology and modern technology, such as artificial intelligence. The integrated technology can provide more accurate and efficient technical support for future urban development.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real world ambulatory boundary effect within MTL oscillation during movement in human brains 人脑运动过程中 MTL 振荡的真实世界流动边界效应

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/62mqmr19

Siwei Wu

{"title":"Real world ambulatory boundary effect within MTL oscillation during movement in human brains","authors":"Siwei Wu","doi":"10.61173/62mqmr19","DOIUrl":"https://doi.org/10.61173/62mqmr19","url":null,"abstract":"Through daily life, complex tasks require the neural encoding of spatial location for oneself and others. Previous research studies in rodents have shown that rodents have neural representations of themselves in addition to other rodents. ( Ovchinnikov, 2010) However, there is still a need to understand how the human brain processes spatial location for itself and others. Furthermore, it is important to research which parts of human cognition can affect location encoding mechanisms. The current study uses existing data to determine the correlation between environmental boundaries and human brain activity. Using spatial observation and navigation tasks, the study investigated whether a physical boundary can affect neural encoding using implanted electrodes, representing the participants’ location and others’ location while in a closed environment. Results showed that representations were strengthened when the encoding of location had a greater behavioral significance and was contingent upon the momentary cognitive state of the individual.Together, these findings support the existence of a shared encoding mechanism within the human brain that signifies the whereabouts of both individuals in communal settings. Moreover, they illuminate novel insights into the neural processes that govern spatial navigation and the perception of others in practical situations.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"14 13‐14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on UAV-assisted Vehicle networking task unloading strategy based on multi-agent reinforcement learning 基于多代理强化学习的无人机辅助车联网任务卸载策略研究

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/ceadt415

Fanjin Zeng

引用次数: 0

ARIMA Model-Based Research on Stock Price Prediction 基于 ARIMA 模型的股价预测研究

Science and Technology of Engineering, Chemistry and Environmental Protection Pub Date : 2024-06-06 DOI: 10.61173/nq5kv133

Dong Liang

{"title":"ARIMA Model-Based Research on Stock Price Prediction","authors":"Dong Liang","doi":"10.61173/nq5kv133","DOIUrl":"https://doi.org/10.61173/nq5kv133","url":null,"abstract":"Securities trading has always been a high-risk, high-return domain. Investors seek high returns while endeavoring to minimize risks as much as possible. Therefore, stock price prediction has become a popular and immensely valuable research topic. This paper will use the ARMA model to forecast stock prices. Firstly, an analysis was conducted on selected stock, determining that the price sequence exhibits no seasonal effects but does display volatility effects. The trend is essentially linear, and the relationship between volatility effects and trends fits an additive model. Based on this, preprocessing was conducted by taking the three-day moving average sequence of the series to eliminate the volatility effects, yielding a clean sequence trend. Then, the trend was differenced once to obtain a stationary sequence. Subsequently, the appropriate ARIMA model order was determined by the (partial) autocorrelation plot of this stationary sequence, and the model was fitted to the stock for prediction, yielding satisfactory results. This indicates that the model can accurately forecast long-term trends, but the filtering of volatility effects prevents the prediction results from sensitively reflecting short-term fluctuations.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"21 10‐11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0