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McGraw-Hill Education Advanced Spanish Grammar

McGraw-Hill Education Advanced Spanish Grammar

Luis Aragones; Ramon Palencia

McGraw-Hill Professional
2014
nidottu
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.What you need to know to master advanced Spanish grammarMcGraw-Hill: Advanced Spanish Grammar guides you through this often-difficult subject, clearly explaining complex grammar ideas and giving you the practice you need to reach your language goals. Written in clear, accessible Spanish, each chapter introduces one grammar topic followed by skill-building exercises, allowing you to learn and study at your own pace.At the end of this workbook, you will have mastered grammar areas such as gender, articles, adjectives, possessives, and verb tenses and will have gained the ultimate confidence in your Spanish grammar skills.Features:106 units, each presenting one topic in a bite-sized,two-page formatMore than 400 exercises that give you real confidence in your new language skillsA comprehensive grammar glossary highlighting essential conceptsA bilingual glossary featuring hundreds of terms for quick referenceNumerous illustrations and usage examples showing Spanish grammar in contextMcGraw-Hill: Advanced Spanish Grammar is the third book in a three-part series. McGraw-Hill: Beginning Spanish Grammar and McGraw-Hill: Intermediate Spanish Grammar are also available for less experienced Spanish-language learners.
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McGraw-Hill Education Beginning Spanish Grammar

McGraw-Hill Education Beginning Spanish Grammar

Luis Aragones; Ramon Palencia

McGraw-Hill Professional
2014
nidottu
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.What you need to know to master basic Spanish grammarMcGraw-Hill: Beginning Spanish Grammar guides you through this often-difficult subject, clearly explaining essential concepts and giving you the practice you need to reach your language goals. With an easy and unintimidating approach, each chapter introduces one grammar topic followed by skill-building exercises, allowing you to learn and study at your own pace.At the end of this workbook, you will have mastered grammar areas such as gender, articles, adjectives, possessives, and verb tenses and will be ready to take your grammar knowledge to the next level.Features:107 units, each presenting one topic in a bite-sized,two-page formatMore than 400 exercises that give you real confidencein your new language skillsA bilingual glossary featuring hundreds of terms for quick referenceNumerous illustrations and usage examples showingSpanish grammar in contextLuis Aragones and Ramon Palencia are Spanish-language learning experts. Grupo SM is the third-largest educational publisher in the Spanish-speaking world.McGraw-Hill: Beginning Spanish Grammar is the first book in a three-part series: after completing this workbook you can build on your skills with McGraw-Hill: Intermediate Spanish Grammar and McGraw-Hill: Advanced Spanish Grammar.
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McGraw-Hill Education Intermediate Spanish Grammar

McGraw-Hill Education Intermediate Spanish Grammar

Luis Aragones; Ramon Palencia

McGraw-Hill Professional
2014
nidottu
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.What you need to know to master intermediate Spanish grammarMcGraw-Hill: Intermediate Spanish Grammar guides you through this often-difficult subject, clearly explaining advanced concepts and giving you the practice you need to reach your language goals. Written in clear Spanish, with English glosses for key concepts, each chapter introduces one grammar topic followed by skill-building exercises, allowing you to learn and study at your own pace.At the end of this workbook, you will have mastered grammar areas such as gender, articles, adjectives, possessives, and verb tenses and will be ready to take your grammar knowledge to an advanced level.Features:116 units, each presenting one topic in a bite-sized,two-page formatMore than 400 exercises that give you real confidence in your new language skillsA comprehensive grammar glossary highlighting essential conceptsA bilingual glossary featuring hundreds of terms for quick referenceNumerous illustrations and usage examples showing Spanish grammar in contextLuis Aragones and Ramon Palencia are Spanish-language learning experts. Grupo SM is the third-largest educational publisher in the Spanish-speaking world.McGraw-Hill: Intermediate Spanish Grammar is the second book in a three-part series: after completing this workbook you can build on your skills with McGraw-Hill: Advanced Spanish Grammar.
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Digital Signal Processing with Kernel Methods

Digital Signal Processing with Kernel Methods

Jose Luis Rojo-Alvarez; Manel Martinez-Ramon; Jordi Munoz-Mari; Gustau Camps-Valls

John Wiley Sons Inc
2018
sidottu
A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http://github.com/DSPKM • Presents the necessary basic ideas from both digital signal processing and machine learning concepts • Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing • Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.
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Teoría de la Omisión en la enseñanza aprendizaje de la Física

Teoría de la Omisión en la enseñanza aprendizaje de la Física

Jorge Luis Contreras Vidal; Héctor Ramón Rivero Pérez; Edgardo Remo Benvenuto

Editorial Academica Espanola
2018
pokkari
La Teor a de la Omisi n (TOms) propone que la informaci n, conocimientos y conceptos que se desarrollan en los libros de textos no deben ser contradictorios, incoherentes o invalidados por los que se omiten. En muchos temas, el efecto de lo omitido en la informaci n desarrollada provoca su incomprensi n, cambia su significado y/o interpretaci n, demuestra que el an lisis realizado es incorrecto. El concepto de la TOms se aplica en ejemplos que son fundamentales para aclarar y comprender su significado. En este libro los ejemplos utilizados son aquellos que aparecen en los libros de textos de F sica.
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Autonomous Tracked Robots in Planar Off-Road Conditions

Autonomous Tracked Robots in Planar Off-Road Conditions

Ramón González; Francisco Rodríguez; José Luis Guzmán

Springer International Publishing AG
2014
sidottu
This monograph is framed within the context of off-road mobile robotics. In particular, it discusses issues related to modelling, localization, and motion control of tracked mobile robots working in planar slippery conditions. Tracked locomotion constitutes a well-known solution for mobile platforms operating over diverse challenging terrains, for that reason, tracked robotics constitutes an important research field with many applications (e.g. agriculture, mining, search and rescue operations, military activities). The specific topics of this monograph are: historical perspective of tracked vehicles and tracked robots; trajectory-tracking model taking into account slip effect; visual-odometry-based localization strategies; and advanced slip-compensation motion controllers ensuring efficient real-time execution. Physical experiments with a real tracked robot are presented showing the better performance of the suggested novel approaches to known techniques. Keywords: longitudinal slip, visual odometry, slip-compensation control, robust predictive control, trajectory tracking. Related subjects: Robotics – Mechanical Engineering – Mechanics – Computer Science – Artificial Intelligence - Applications
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Autonomous Tracked Robots in Planar Off-Road Conditions

Autonomous Tracked Robots in Planar Off-Road Conditions

Ramón González; Francisco Rodríguez; José Luis Guzmán

Springer International Publishing AG
2016
nidottu
This monograph is framed within the context of off-road mobile robotics. In particular, it discusses issues related to modelling, localization, and motion control of tracked mobile robots working in planar slippery conditions. Tracked locomotion constitutes a well-known solution for mobile platforms operating over diverse challenging terrains, for that reason, tracked robotics constitutes an important research field with many applications (e.g. agriculture, mining, search and rescue operations, military activities). The specific topics of this monograph are: historical perspective of tracked vehicles and tracked robots; trajectory-tracking model taking into account slip effect; visual-odometry-based localization strategies; and advanced slip-compensation motion controllers ensuring efficient real-time execution. Physical experiments with a real tracked robot are presented showing the better performance of the suggested novel approaches to known techniques. Keywords: longitudinal slip, visual odometry, slip-compensation control, robust predictive control, trajectory tracking. Related subjects: Robotics – Mechanical Engineering – Mechanics – Computer Science – Artificial Intelligence - Applications
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Agrarökologie in Venezuela

Agrarökologie in Venezuela

José Ramón Vielma Guevara; Juana del Carmen Villarreal Andrade; Luis Vicente Gutierrez Peña

Verlag Unser Wissen
2023
pokkari
Die Agrar kologie entstand aus dem Bed rfnis des Menschen, Nahrungsmittel zu produzieren, um sich als Spezies zu erhalten, ohne jedoch die Auswirkungen der landwirtschaftlichen Aktivit ten auf die Umwelt im globalen Ma stab zu zerst ren oder zu minimieren. Etymologisch gesehen ist das Wort kologie ein zusammengesetztes Wort: "Agrar kologie" setzt sich aus griechischen Wurzeln zusammen und bedeutet "Landwirtschaft, die sich um die Beziehungen zwischen Lebewesen und ihrer Umwelt k mmert". Seine lexikalischen Bestandteile sind: agros (Feld, Land in seinem nat rlichen Zustand) und oikos (Haus), plus das Suffix -logia (Wissenschaft, die studiert). Nach der Definition der Ern hrungs- und Landwirtschaftsorganisation der Vereinten Nationen (FAO) ist die Agrar kologie eine wissenschaftliche Disziplin, eine Reihe von Praktiken und eine soziale Bewegung.
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L'agroécologie au Venezuela

L'agroécologie au Venezuela

José Ramón Vielma Guevara; Juana del Carmen Villarreal Andrade; Luis Vicente Gutierrez Peña

Editions Notre Savoir
2023
pokkari
L'agro cologie est n e du besoin des tres humains de produire de la nourriture pour se maintenir en tant qu'esp ce, mais sans d truire ou minimiser l'impact des activit s agricoles sur l'environnement l' chelle mondiale. D'un point de vue tymologique, le mot cologie est un mot compos "agro cologie" est compos de racines grecques et signifie "agriculture qui prend soin des relations entre les tres vivants et leur environnement". Ses composantes lexicales sont: agros (champ, terre l' tat naturel) et oikos (maison), plus le suffixe -logia (science qui tudie). L'agro cologie est une discipline scientifique, un ensemble de pratiques et un mouvement social, selon la d finition de l'Organisation des Nations unies pour l'alimentation et l'agriculture (FAO).
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Agroecologia na Venezuela

Agroecologia na Venezuela

José Ramón Vielma Guevara; Juana del Carmen Villarreal Andrade; Luis Vicente Gutierrez Peña

Edicoes Nosso Conhecimento
2023
pokkari
A agroecologia nasceu como consequ ncia da necessidade do ser humano de produzir alimentos para se manter como esp cie, mas sem destruir ou minimizar o impacto que as actividades agr colas t m no ambiente escala global. De um ponto de vista etimol gico, a palavra ecologia uma palavra composta: "agroecologia" formada por ra zes gregas e significa "agricultura que cuida das rela es entre os seres vivos e o seu ambiente". Os seus componentes lexicais s o: agros (campo, terra no seu estado natural) e oikos (casa), mais o sufixo -logia (ci ncia que estuda). A agroecologia uma disciplina cient fica, um conjunto de pr ticas e um movimento social, de acordo com a defini o da Organiza o das Na es Unidas para a Alimenta o e a Agricultura (FAO).
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Agroecology in Venezuela

Agroecology in Venezuela

José Ramón Vielma Guevara; Juana del Carmen Villarreal Andrade; Luis Vicente Gutierrez Peña

Our Knowledge Publishing
2023
pokkari
Agroecology was born as a consequence of the need of human beings to produce food to maintain themselves as a species, but without destroying or minimizing the impact that agricultural activities have on the environment on a global scale. From the etymological point of view, the word ecology is a compound word: "agroecology" is formed by Greek roots and means "agriculture that takes care of the relationships between living beings and their environment". Its lexical components are: agros (field, land in its natural state) and oikos (house), plus the suffix -log a (science that studies). Agroecology is a scientific discipline, a set of practices and a social movement, according to the definition of the Food and Agriculture Organization of the United Nations (FAO).
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Agroecologia in Venezuela

Agroecologia in Venezuela

José Ramón Vielma Guevara; Juana del Carmen Villarreal Andrade; Luis Vicente Gutierrez Peña

Edizioni Sapienza
2023
pokkari
L'agroecologia nasce come conseguenza della necessit dell'uomo di produrre cibo per mantenersi come specie, ma senza distruggere o minimizzare l'impatto che le attivit agricole hanno sull'ambiente su scala globale. Da un punto di vista etimologico, la parola ecologia una parola composta: "agroecologia" costituita da radici greche e significa "agricoltura che si prende cura delle relazioni tra gli esseri viventi e il loro ambiente". I suoi componenti lessicali sono: agros (campo, terra allo stato naturale) e oikos (casa), pi il suffisso -logia (scienza che studia). L'agroecologia una disciplina scientifica, un insieme di pratiche e un movimento sociale, secondo la definizione dell'Organizzazione delle Nazioni Unite per l'alimentazione e l'agricoltura (FAO).
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Machine Learning Applications in Electromagnetics and Antenna Array Processing

Machine Learning Applications in Electromagnetics and Antenna Array Processing

Manel Martinez-Ramon; Arjun Gupta; Jose Luis Rojo-Alvarez; Christos Christodoulou

Artech House Publishers
2021
sidottu
This practical resource provides an overview of machine learning (ML) approaches as applied to electromagnetics and antenna array processing. Detailed coverage of the main trends in ML, including uniform and random array processing (beamforming and detection of angle of arrival), antenna optimization, wave propagation, remote sensing, radar, and other aspects of electromagnetic design are explored. An introduction to machine learning principles and the most common machine learning architectures and algorithms used today in electromagnetics and other applications is presented, including basic neural networks, gaussian processes, support vector machines, kernel methods, deep learning, convolutional neural networks, and generative adversarial networks. Applications in electromagnetics and antenna array processing that are solved using machine learning are discussed, including antennas, remote sensing, and target classification.
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