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標(biāo)題: Titlebook: Machine Learning Approaches for Urban Computing; Mainak Bandyopadhyay,Minakhi Rout,Suresh Chandra S Book 2021 The Editor(s) (if applicable [打印本頁(yè)]

作者: 次要    時(shí)間: 2025-3-21 19:04
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書目名稱Machine Learning Approaches for Urban Computing讀者反饋學(xué)科排名





作者: ADOPT    時(shí)間: 2025-3-21 20:30
A Spatiotemporal Accessibility Analysis of Bus Transportation Facility in the National Capital Terr rapid urbanization. Affordable and accessible public transport services in the cities help decrease traffic congestion that occurs due to the movement of personalized vehicles on roads. Therefore, the accessibility to a sustainable public transport service (PTS) is vital for general masses, especia
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作者: Ordeal    時(shí)間: 2025-3-22 12:56
Dimensionality Reduction and Classification in Hyperspectral Images Using Deep Learning,t have shown hopeful outcomes in a broad variety of practical applications. In particular, deep learning techniques have been extensively carried out to identify remote sensed data obtained by the instruments of Earth observation. Hyperspectral imaging (HSI) is an evolving area in the study of remot
作者: 等級(jí)的上升    時(shí)間: 2025-3-22 20:54

作者: 在前面    時(shí)間: 2025-3-22 22:05
Security Enhancement of Contactless Tachometer-Based Cyber Physical System,mple control mechanism. Speed and direction of BLDC motor can be controlled by Hall Effect sensor from any remote location using Internet. This Internet of Things (IoT)-based remote control of BLDC motor can be susceptible to many security attacks. These attacks may result in loss of confidentiality
作者: municipality    時(shí)間: 2025-3-23 03:47

作者: 在前面    時(shí)間: 2025-3-23 06:51
dierende im Bachelorstudium Physik.Includes supplementary ma.Dieses Buch zur Experimentalphysik ist der dritte Band der lange erwarteten Ausarbeitung der überaus beliebten Vorlesungen von Joachim Heintze. Dieser Band besch?ftigt sich mit den Grundlagen zur Elektrizit?t und Magnetismus, wie sie an de
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作者: TOM    時(shí)間: 2025-3-24 16:15
Kundan Kumar Rameshwar Saraf,P. Malathi,Kailash Shawph?rische Polarkoordinaten um. Im ersten Abschnitt wird gezeigt, dass sich die dabei entstehende recht komplizierte partielle Differentialgleichung in drei gew?hnliche Differentialgleichungen für die drei Koordinaten ., . und . zerlegen l?sst. Die L?sung der Winkelgleichungen (Abschn.?5.2) führt auf
作者: COWER    時(shí)間: 2025-3-24 21:53

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作者: 不如屎殼郎    時(shí)間: 2025-3-25 06:00
1860-949X e guide for researchers and practitioners in academia and in.This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applicatio
作者: 語(yǔ)言學(xué)    時(shí)間: 2025-3-25 10:33

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作者: 沙文主義    時(shí)間: 2025-3-26 00:45

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作者: COLON    時(shí)間: 2025-3-26 11:23

作者: Schlemms-Canal    時(shí)間: 2025-3-26 16:06
Urbanization: Pattern, Effects and Modelling,nization and identify rapid growth poles. This chapter aims to understand the spatial–temporal patterns of land use dynamics in Bangalore and simulate future urbanization patterns considering a 10?km buffer using cellular automata-based model. The spatial patterns of landscape dynamics are assessed
作者: SEVER    時(shí)間: 2025-3-26 17:40

作者: 玉米    時(shí)間: 2025-3-26 23:54
Extraction of Information from Hyperspectral Imaging Using Deep Learning,) analysis. Thus, a large number of bands and dimensions in hyperspectral images must be reduced using some linear or nonlinear dimensionality reduction (DR) techniques. By eliminating all these redundant information, data can be classified and interpreted in a far better way. Mainly three hyperspec
作者: aesthetician    時(shí)間: 2025-3-27 04:08

作者: EXTOL    時(shí)間: 2025-3-27 08:31
Vehicle Detection and Count in the Captured Stream Video Using Machine Learning,le detection techniques implied in the live stream video by machine learning. This chapter presents to recognize and identify the moving objects in the live video stream for specific interest. This chapter aims to explore the existing challenging issue in the area of unsupervised surveillance and se
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作者: 植物群    時(shí)間: 2025-3-27 18:48

作者: propose    時(shí)間: 2025-3-27 23:18
Optimization of Loss Function on Human Faces Using Generative Adversarial Networks,called generator, discriminator, and loss function optimization. These segments are trained individually and together form our complete model. The generator, generating the image of the human face and later, these images are provided to the discriminator. The discriminator that is also trained using
作者: compassion    時(shí)間: 2025-3-28 05:04
ührlichen L?sungen erleichtern die Prüfungsvorbereitung. Ob Physik Ihr Hauptfach sein mag oder ein Begleitfach ? in jedem Fall werden Sie von den klaren Erl?uterungen und den eing?ngigen Darstellungen profitieren und vieles mitnehmen, das Sie auf Ihrem weiteren Weg begleiten wird..978-3-662-48450-0978-3-662-48451-7
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