標(biāo)題: Titlebook: Smart Cities: Big Data Prediction Methods and Applications; Hui Liu Book 2020 Springer Nature Singapore Pte Ltd. 2020 Smart Cities.Big Dat [打印本頁] 作者: 指責(zé) 時間: 2025-3-21 17:00
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書目名稱Smart Cities: Big Data Prediction Methods and Applications讀者反饋學(xué)科排名
作者: intertwine 時間: 2025-3-21 23:56 作者: Esalate 時間: 2025-3-22 01:54 作者: 金盤是高原 時間: 2025-3-22 06:26 作者: 得體 時間: 2025-3-22 09:06
Prediction Models of Traffic Flow Driven Based on Multi-Dimensional Data in Smart Traffic Systems the traffic flow prediction performance of the WPD-Elman model using multi-dimensional data is the best. When building a traffic flow prediction model, the wavelet packet algorithm can effectively improve the accuracy of the model.作者: aquatic 時間: 2025-3-22 15:03
Prediction Model of Urban Environmental Noise in Smart Environment, traffic noise, and neighborhood noise. Through comprehensive comparative analysis of the experimental results, it can be concluded that the noise prediction performance of the BFGS model is the best in this experiment. Neighborhood noise is the most predictable among the three types of noise data.作者: anachronistic 時間: 2025-3-22 18:26
Key Issues of Smart Cities be the future direction of the development of cities. This chapter is the general chapter of the book. In the chapter, the big data forecasting technology is used as the basic point to elaborate and analyze from the aspects of smart grid and buildings, smart traffic, and smart environment. In each 作者: 偏狂癥 時間: 2025-3-22 22:48
Electrical Characteristics and Correlation Analysis in Smart Grid kinds of data is also very complex. How to extract effective data sources from massive data, simplify the identification process, and effectively improve the accuracy of data processing is a necessary way to realize power grid intelligence. In this chapter, taking the air-conditioning circuit syste作者: 自傳 時間: 2025-3-23 04:28 作者: Libido 時間: 2025-3-23 08:44 作者: 大雨 時間: 2025-3-23 13:24
Characteristics and Analysis of Urban Traffic Flow in Smart Traffic Systemsto solve traffic congestion. The problem studied in this chapter is to establish a vehicle trajectory prediction model based on vehicle historical trajectory data. The research idea is to use machine learning algorithms and neural network algorithms to predict future trajectories after pre-processin作者: Eosinophils 時間: 2025-3-23 17:40 作者: 小木槌 時間: 2025-3-23 19:22
Prediction Models of Traffic Flow Driven Based on Multi-Dimensional Data in Smart Traffic Systemsjacent road sections will affect the future traffic flow of the target road section. Therefore, this chapter uses the traffic changes of adjacent road sections and the traffic changes of the target road sections to build multi-dimensional datasets. Based on different model frameworks, four traffic f作者: 骯臟 時間: 2025-3-23 22:49 作者: outset 時間: 2025-3-24 05:52
Prediction Models of Urban Hydrological Status in Smart Environmenthe intelligent embodiment of the intelligent city. In addition to paying attention to its fluctuation state, the river water level is also very important for the accurate prediction of water level height in the future. For this reason, this chapter first constructs the prediction model of water leve作者: 檔案 時間: 2025-3-24 08:58 作者: Foolproof 時間: 2025-3-24 13:46 作者: GIDDY 時間: 2025-3-24 15:16
Prediction Models of Energy Consumption in Smart Urban Buildingsaset in the simulation results of DeST software, and an intelligent prediction method for energy consumption of a building in Changsha is proposed. Similarly, the big data computing framework is constructed according to the proposed prediction model to provide support for the design and operation of intelligent buildings in smart cities.作者: 兇猛 時間: 2025-3-24 22:20 作者: 內(nèi)閣 時間: 2025-3-25 00:47
Book 2020t big data predicting techniques...?This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved u作者: 掃興 時間: 2025-3-25 06:53
http://image.papertrans.cn/s/image/868665.jpg作者: calorie 時間: 2025-3-25 09:35 作者: 原始 時間: 2025-3-25 14:13
978-981-15-2839-2Springer Nature Singapore Pte Ltd. 2020作者: LUMEN 時間: 2025-3-25 17:14
Hui LiuBroadens readers‘ understanding of the smart cities.Describes in detail the latest theories and specific applications of smart time series prediction methods in smart cities, as well as a big data fra作者: hypertension 時間: 2025-3-26 00:03
scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing..978-981-15-2839-2978-981-15-2837-8作者: faucet 時間: 2025-3-26 03:05
, and presents a wide range of applications to allow readers to understand the role of facility location in such areas and learn how to handle real-world location problems..The book is intend978-3-030-32179-6978-3-030-32177-2作者: Subjugate 時間: 2025-3-26 04:35
stic location problems..The book is intended for researchers working on theory and applications involving location problems and models. It is also suitable as a textbook for graduate courses on facility locatio978-3-319-34290-0978-3-319-13111-5作者: Arable 時間: 2025-3-26 08:36
Prediction Model of Traffic Flow Driven Based on Single Data in Smart Traffic Systemse WD-BP predictive model is higher than the BP predictive model in the deterministic forecast of traffic flow. In the interval prediction of traffic flow, BP neural network is used to establish a deterministic prediction model, and the GARCH model is used to calculate the uncertainty of forecasting 作者: HACK 時間: 2025-3-26 12:39
Prediction Models of Urban Air Quality in Smart Environment compared and analyzed. The results show that the prediction of pollutant concentrations after effectively extracting the main characteristics of air pollution is feasible. On this basis, this chapter also puts forward the big data calculation framework of two air pollution prediction models as a re作者: Apraxia 時間: 2025-3-26 17:19 作者: 煞費(fèi)苦心 時間: 2025-3-26 23:02 作者: Flinch 時間: 2025-3-27 04:14 作者: FLIP 時間: 2025-3-27 07:45 作者: 透明 時間: 2025-3-27 09:53
Hui Liucus on the customer-facility interaction, developing a classification of models based on the how customer demand is allocated to facilities and whether the demand is elastic or not. We use our description of system components and customer-response classification to organize the rich variety of model作者: Root494 時間: 2025-3-27 15:00
f, say, 0.5 m may seem more desirable than a system which is only able to determine which room a user is in; however, you may rethink this assessment once you consider that the former system may incorrectly infer that the user is in the adjoining kitchen 25% of the time, when infact they are in the 作者: agglomerate 時間: 2025-3-27 18:06
Hui Liuth almost 100 km average error. A number of systems eliminate the need for people to carry beacons or listeners and instead use a person’s visual appearance, noise profile, or ground reaction forces to track them through an environment. In addition to the GPS, 802.11, and cell-phone-based system we 作者: 機(jī)警 時間: 2025-3-28 00:05 作者: Dysplasia 時間: 2025-3-28 05:12
Hui Liutheory can be reproved in a more general and sometimes even simpler way. Algorithms enable the reader to solve very flexible location models with a single implementation. In addition, the code of some algorithms is available for download..978-3-642-06357-2978-3-540-27640-1作者: 治愈 時間: 2025-3-28 06:48
theory can be reproved in a more general and sometimes even simpler way. Algorithms enable the reader to solve very flexible location models with a single implementation. In addition, the code of some algorithms is available for download..978-3-642-06357-2978-3-540-27640-1作者: nutrients 時間: 2025-3-28 14:23
Hui Liutheory can be reproved in a more general and sometimes even simpler way. Algorithms enable the reader to solve very flexible location models with a single implementation. In addition, the code of some algorithms is available for download..978-3-642-06357-2978-3-540-27640-1作者: Arctic 時間: 2025-3-28 15:33 作者: 奴才 時間: 2025-3-28 20:51 作者: 凝乳 時間: 2025-3-29 00:40 作者: accrete 時間: 2025-3-29 04:41 作者: 有助于 時間: 2025-3-29 11:08
Hui Liutic. This combination leads to congestion, where some of the arriving demands cannot be served immediately and must either wait in queue or be lost to the system. These models have applications that range from emergency service systems (fire, ambulance, police) to networks of public and private faci作者: travail 時間: 2025-3-29 13:57
searchers in the field of location convened for this book to.This comprehensive and clearly structured book presents essential information on modern Location Science. The book is divided into three parts: basic concepts, advanced concepts and applications. Written by the most respected specialists i
