The 2nd International Conference on Computing and Data Science最新文献_第4页

A Probe into the National Customs Clearance Integration Mechanism under "The Belt and Road Initiative" “一带一路”背景下全国通关一体化机制探讨

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3448735

Wanpu Wang, Lujin Huang

引用次数: 0

Research on Human Behavior Recognition Based on Video Key Frame 基于视频关键帧的人类行为识别研究

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450778

Hong Zhao, Juan Liu, Weijie Wang

引用次数: 1

Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings 在无噪声环境下用多注意网络完善短期股票预测

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450779

K. Sarpong, Bei Hui, Xue Zhou, Rutherford Agbeshi Patamia, Edwin Kwadwo Tenagyei

{"title":"Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings","authors":"K. Sarpong, Bei Hui, Xue Zhou, Rutherford Agbeshi Patamia, Edwin Kwadwo Tenagyei","doi":"10.1145/3448734.3450779","DOIUrl":"https://doi.org/10.1145/3448734.3450779","url":null,"abstract":"The extreme uncertainties and volatile nature of the stock markets is an extensive field of study. The key to exploiting time series modelling strategies is crucial to achieving greater stock market efficiency. Even though various theoretical propositions in deep learning have developed, a few can capture long term temporal dependencies information and select the sailing series to make accurate forecasting. To overcome the problem, we propose wavelet two-stage attention-based long short term memory (WTS-ALSTM) for financial time series prediction. We use the wavelet transform decomposing to perform signal analysis and signal reconstruction of historical stock data for the noise reduction, extracts and train its characteristics, and sets the stock market forecast model. WTSALSTM model incorporates the resilient and non-linear interaction in the series, before introducing the input attention via past encoder hidden states, and temporal attention mechanism through the decoder stage at all-time steps across all the encoder hidden states. We benchmark the final results with twelve different models on DJIA, HSI, and S&P 500 datasets. Experimental results on the above datasets have illustrated that the proposed model can achieve competitive prediction performance in their metrics compared with other baseline models.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121429327","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

Digital Calibration Based on Polyphase Structure for Electronic Surveillance 基于多相结构的电子监控数字定标

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450891

Zhaogui Ding, Yufei Wang

引用次数: 0

Case-Based Reasoning for Personalized Recommender on User Preference through Dynamic Clustering 基于用户偏好的动态聚类个性化推荐案例推理

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450888

Jianyang Li, Hongseng Wu, Wenyan Zuo, Hongyu Tang

引用次数: 0

Bus traffic prediction based on time series analysis 基于时间序列分析的公交流量预测

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450803

Haolong Pei, Liang Chen, Zhihui Zhang, Junhao Lu, Shuanglin Shu, Xinyu Liang

引用次数: 0

A Traffic Anomaly Detection and Identification Approach Based on Multi-instance Learning 一种基于多实例学习的流量异常检测与识别方法

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450926

Dong Feng, M. Liang, Guangchao Wang

{"title":"A Traffic Anomaly Detection and Identification Approach Based on Multi-instance Learning","authors":"Dong Feng, M. Liang, Guangchao Wang","doi":"10.1145/3448734.3450926","DOIUrl":"https://doi.org/10.1145/3448734.3450926","url":null,"abstract":"Traffic anomaly detection plays an important role in effective prevention and timely handling of traffic accidents. However, currently traffic anomaly detection is still in its infancy, mainly depending on manual intervention, which not only consumes a lot of manpower, but also is unfavorable in timeliness. According to the characteristics of urban road traffic scenes, this paper proposes a MFnet network structure based on multiple fiber modules, aiming to realize fast extraction and real-time calculation of video streaming features via group convolution and sparse connectivity. In addition, the weakly-supervised multi-instance learning method is introduced for the training on application of traffic anomaly detection model, which reduces the difficulty of labeling sample videos and improves the capacity of traffic anomaly detection in complex scenarios. Experimental results based on real traffic video data show that this method proposed herein, compared to the existing traffic anomaly detection methods, is good in terms of detection accuracy and recall rate, and is efficient in traffic anomaly detection in actual traffic scenarios.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"122 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133193277","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

Machine Learning Inspired Precoding for Multi-user mmWave 3D MIMO Systems 基于机器学习的多用户毫米波3D MIMO系统预编码

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450780

Qinghua Ma, Zhisong Bie

引用次数: 1

Defect detection of flexible circuit board based on convolutional neural network 基于卷积神经网络的柔性电路板缺陷检测

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450927

Yangyang Zang, Jing Zhang, M. Billah

引用次数: 1

Physical Fitness Test System Solution Based on RFID and WSN 基于RFID和无线传感器网络的体能测试系统解决方案

The 2nd International Conference on Computing and Data Science Pub Date : 2021-01-28 DOI: 10.1145/3448734.3450813

Hongbing Fang, Jiren Xu, Rangang Zhu, Dongsheng Wu, Xiaolan Zhao

引用次数: 0