Xueqian (78 resultados)

Condición: New.

Condición: New.

Paperback. Condición: Brand New. 222 pages. 6.14x0.48x9.21 inches. In Stock.

Taschenbuch. Condición: Neu. Neuware - In line with the increasing electrification of agricultural production, aquaculture systems are becoming an important type of agricultural energy load. This book discusses key energy issues in aquaculture systems, and explains how agricultural energy internet technologies can support the development of modern aquaculture. The aim of this title is to develop an energy solution framework for aquaponics agricultural systems. It systematically introduces modelling approaches for aquaculture energy systems, energy optimization and scheduling methods, and load control strategies, while also analysing key technologies for the coordinated operation of agricultural energy systems and power systems. An important feature of the book is the construction of a complete technical chain from theoretical research to engineering application. The content includes theoretical models, laboratory studies, conducted at a national-level research platform in China, and real-world engineering case studies. In addition, the book provides data-driven program examples and links to short videos recorded in laboratories and real engineering sites as supplementary materials to enhance readers' understanding of the presented technologies.Intended for an audience of researchers, graduate students and professionals working in the interconnected fields of aquaponics and agricultural electrification, this book offers a systematic framework for creating energy solutions for aquaponics.…

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Condición: As New. Unread book in perfect condition.

Condición: NEW.

Hardback. Condición: New. In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

Condición: New. 2026. hardcover. . . . . .

Condición: New.

Hardcover. Condición: new. Hardcover. The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging. The task of signal detection is deciding whether signals of interest exist by using their observed data. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.…

Taschenbuch. Condición: Neu. Study on Signal Detection and Recovery Methods with Joint Sparsity | Xueqian Wang | Taschenbuch | Springer Theses | xvi | Englisch | 2024 | Springer | EAN 9789819941193 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.…

Taschenbuch. Condición: Neu. Ichnology of the Permian-Triassic Mass Extinction in China | Xueqian Feng (u. a.) | Taschenbuch | xi | Englisch | 2026 | Springer | EAN 9789819666416 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Buch. Condición: Neu. Neuware - A unified framework for photovoltaic multi-timescale uncertainty modeling Research on photovoltaic uncertainty remains fragmented: physical models lack interpretability, deep learning sacrifices generalizability, and no end-to-end solutions exist for real grid scenarios. Statistical Relational AI for PV Multi-Timescale Uncertainty Modeling: Theory, Case Analysis, and Engineering Practice delivers a unified framework integrating real-world PV power data with complete workflows for grid planning, operation, and uncertainty-aware decision-making. The book systematically addresses how weather conditions, seasonal patterns, and time-of-day effects drive generation variability across multiple time scales. Case studies drawn from operational PV plants and real power system environments demonstrate a complete workflow from problem formulation through solution development. Practical datasets, executable code, and engineering examples show how proposed approaches translate into implementable solutions. Readers will also find: - Concrete implementation guidance for statistical relational AI methods applied to data organization, pattern discovery, and supporting analytical tasks- Probabilistic techniques for quantifying PV output variability for stochastic optimization and electricity market operations- A complete end-to-end technical pipeline spanning data acquisition, preprocessing, modeling, forecasting, and engineering deployment- A structured perspective on future development trajectories for AI-driven photovoltaic uncertainty research and applications- Solutions designed specifically for real PV grid scenarios rather than idealized or purely simulated environments Designed for university faculty, academic researchers, power-system engineers, and graduate students, this book provides structured methodologies and reproducible tools for modeling PV uncertainty across time scales. Grid planners and renewable energy technology practitioners will also find directly applicable workflows for operational decision-making.…

Condición: New. 2024th edition NO-PA16APR2015-KAP.

Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Hardcover. Condición: Brand New. 137 pages. 9.25x6.10x0.55 inches. In Stock.