Haoyu (24 Ergebnisse)

Hardcover. Zustand: Brand New. 226 pages. 6.00x0.63x9.00 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. 236 pages. 6.14x0.50x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Taschenbuch. Zustand: Neu. Human Behavior Analysis and Interaction for Emotional Intelligence | The First Workshop on EI-MiGA[at]IJCAI 2026, IJCAI 2026, Bremen, Germany, August 15-21, 2026, Proceedings | Haoyu Chen (u. a.) | Taschenbuch | x | Englisch | 2026 | Springer | EAN 9789819245284 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. In English.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the latest optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, and their applications in the diagnosis and treatment of retinal diseases. Discussing the basic principles and the clinical applications of OCT imaging, OCT image preprocessing, as well as the automatic detection and quantitative analysis of retinal anatomy and pathology, it includes a wealth of clinical OCT images, and state-of-the-art research that applies novel image processing, pattern recognition and machine learning methods to real clinical data. It is a valuable resource for researchers in both medical image processing and ophthalmic imaging.…

Zustand: New. In English.

Hardcover. Zustand: Brand New. 400 pages. 9.25x6.10x1.10 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the rural transition and transportation in China. It covers demographic change, settlement transformation, and infrastructure development in rural areas, as well as changes in transportation expenditures, travel behavior, and accessibility of basic public services among rural Chinese residents.The book contributes to the new body of knowledge from an international perspective in three ways. First, it explores the changes in travel behavior of rural residents and related factors. Second, it provides new evidence on the relationship between rural social transformation and transportation infrastructure development. Third, it discusses the impact of transportation investments on rural poverty reduction.The book enhances our understanding of the changes in travel behavior of rural residents. In particular, the results of the multi-source big data analysis will provide new evidence on the link between social transformation and changes in travel behavior in rural China. It also helps planners and politicians to develop policies aimed at improving quality of life, rural poverty, and the efficiency of transportation investments in rural areas. The book is of great interest to scholars interested in rural transformation and development, sustainable transport, regional planning, and environmental policy and is relevant to China and other developing countries.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the rural transition and transportation in China. It covers demographic change, settlement transformation, and infrastructure development in rural areas, as well as changes in transportation expenditures, travel behavior, and accessibility of basic public services among rural Chinese residents.The book contributes to the new body of knowledge from an international perspective in three ways. First, it explores the changes in travel behavior of rural residents and related factors. Second, it provides new evidence on the relationship between rural social transformation and transportation infrastructure development. Third, it discusses the impact of transportation investments on rural poverty reduction.The book enhances our understanding of the changes in travel behavior of rural residents. In particular, the results of the multi-source big data analysis will provide new evidence on the link between social transformation and changes in travel behavior in rural China. It also helps planners and politicians to develop policies aimed at improving quality of life, rural poverty, and the efficiency of transportation investments in rural areas. The book is of great interest to scholars interested in rural transformation and development, sustainable transport, regional planning, and environmental policy and is relevant to China and other developing countries. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water management. Traditionally, researchers use water balance, soil moisture, weighing lysimeters, or an energy balance approach, such as Bowen ratio or eddy covariance towers to estimate ET. However, these ET methods are point-specific or area-weighted measurements and cannot be extended to a large scale. On the other hand, while remote sensing is able to provide spatially distributed measurements, the spatial resolution of multispectral satellite images is often not enough for crops with clumped canopy structures, such as trees and vines. Unmanned aerial vehicles (UAVs) can mitigate these spatial and temporal limitations. Lightweight cameras and sensors can be mounted on the UAVs and take high-resolution images. Unlike satellite imagery, the spatial resolution of the UAV images can be at the centimeter-level. UAVs can also fly on-demand, which provides high temporal imagery.This book examines the different UAV-based approaches of ET estimation. Models and algorithms, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are discussed. It also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.…

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water management. Traditionally, researchers use water balance, soil moisture, weighing lysimeters, or an energy balance approach, such as Bowen ratio or eddy covariance towers to estimate ET. However, these ET methods are point-specific or area-weighted measurements and cannot be extended to a large scale. On the other hand, while remote sensing is able to provide spatially distributed measurements, the spatial resolution of multispectral satellite images is often not enough for crops with clumped canopy structures, such as trees and vines. Unmanned aerial vehicles (UAVs) can mitigate these spatial and temporal limitations. Lightweight cameras and sensors can be mounted on the UAVs and take high-resolution images. Unlike satellite imagery, the spatial resolution of the UAV images can be at the centimeter-level. UAVs can also fly on-demand, which provides high temporal imagery. This book examines the different UAV-based approaches of ET estimation. Models and algorithms, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are discussed. It also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.…

Taschenbuch. Zustand: Neu. Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture | Haoyu Niu (u. a.) | Taschenbuch | xxiv | Englisch | 2023 | Springer | EAN 9783031149399 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among researchers and agricultural practitioners. This book embarks on a journey to explore the intersection of artificial intelligence and agriculture, focusing on small-unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), edge-AI sensors and the profound impact they have on digital agriculture, particularly in the context of heterogeneous crops, such as walnuts, pomegranates, cotton, etc. For example, lightweight sensors mounted on UAVs, including multispectral and thermal infrared cameras, serve as invaluable tools for capturing high-resolution images. Their enhanced temporal and spatial resolutions, coupled with cost effectiveness and near-real-time data acquisition, position UAVs as an optimal platform for mapping and monitoring crop variability in vast expanses. This combination of data acquisition platforms and advanced analytics generates substantial datasets, necessitating a deep understanding of fractional-order thinking, which is imperative due to the inherent 'complexity' and consequent variability within the agricultural process. Much optimism is vested in the field of artificial intelligence, such as machine learning (ML) and computer vision (CV), where the efficient utilization of big data to make it 'smart' is of paramount importance in agricultural research. Central to this learning process lies the intricate relationship between plant physiology and optimization methods. The key to the learning process is the plant physiology and optimization method. Crafting an efficient optimization method raises three pivotal questions: 1.) What represents the best approach to optimization 2.) How can we achieve a more optimal optimization 3.) Is it possible to demand 'more optimal machine learning,' exemplified by deep learning, while minimizing the need for extensive labeled data for digital agriculture This book details the foundations of the plant physiology-informed machine learning (PPIML) and the principle of tail matching (POTM) framework. It is the 9th title of the 'Agriculture Automation and Control' book series published by Springer.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among researchers and agricultural practitioners. This book embarks on a journey to explore the intersection of artificial intelligence and agriculture, focusing on small-unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), edge-AI sensors and the profound impact they have on digital agriculture, particularly in the context of heterogeneous crops, such as walnuts, pomegranates, cotton, etc. For example, lightweight sensors mounted on UAVs, including multispectral and thermal infrared cameras, serve as invaluable tools for capturing high-resolution images. Their enhanced temporal and spatial resolutions, coupled with cost effectiveness and near-real-time data acquisition, position UAVs as an optimal platform for mapping and monitoring crop variability in vast expanses. This combination of data acquisition platforms and advanced analytics generates substantial datasets, necessitating a deep understanding of fractional-order thinking, which is imperative due to the inherent 'complexity' and consequent variability within the agricultural process. Much optimism is vested in the field of artificial intelligence, such as machine learning (ML) and computer vision (CV), where the efficient utilization of big data to make it 'smart' is of paramount importance in agricultural research. Central to this learning process lies the intricate relationship between plant physiology and optimization methods. The key to the learning process is the plant physiology and optimization method. Crafting an efficient optimization method raises three pivotal questions: 1.) What represents the best approach to optimization 2.) How can we achieve a more optimal optimization 3.) Is it possible to demand 'more optimal machine learning,' exemplified by deep learning, while minimizing the need for extensive labeled data for digital agriculture This book details the foundations of the plant physiology-informed machine learning (PPIML) and the principle of tail matching (POTM) framework. It is the 9th title of the 'Agriculture Automation and Control' book series published by Springer.…

Hardcover. Zustand: Brand New. 366 pages. 9.25x6.10x0.98 inches. In Stock.

Taschenbuch. Zustand: Neu. Smart Big Data in Digital Agriculture Applications | Acquisition, Advanced Analytics, and Plant Physiology-informed Artificial Intelligence | Haoyu Niu (u. a.) | Taschenbuch | Agriculture Automation and Control | xviii | Englisch | 2025 | Springer | EAN 9783031526473 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Zustand: Brand New. 180 pages. 9.26x6.10x0.41 inches. In Stock.

Hardcover. Zustand: Brand New. 180 pages. 9.25x6.10x0.63 inches. In Stock.

Zustand: New.

Hardcover. Zustand: Brand New. 257 pages. 9.25x6.10x0.63 inches. In Stock.