Información del autor
Autor Petraq J. Papajorgji |
Documentos disponibles escritos por este autor (4)
Refinar búsquedaAdvances in Modeling Agricultural Systems / SpringerLink (Online service) ; Panos M. Pardalos ; Petraq J. Papajorgji (2009)
Título : Advances in Modeling Agricultural Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Panos M. Pardalos ; Petraq J. Papajorgji Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 25 Número de páginas: X, 522 p. 172 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-75181-8 Idioma : Inglés (eng) Palabras clave: Mathematics Information technology Business Data processing Software engineering Computer simulation Agriculture mathematics Computational Science and Engineering Simulation Modeling Environmental Monitoring/Analysis IT in Clasificación: 51 Matemáticas Resumen: This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field Nota de contenido: The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce En línea: http://dx.doi.org/10.1007/978-0-387-75181-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33858 Advances in Modeling Agricultural Systems [documento electrónico] / SpringerLink (Online service) ; Panos M. Pardalos ; Petraq J. Papajorgji . - Boston, MA : Springer US, 2009 . - X, 522 p. 172 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 25) .
ISBN : 978-0-387-75181-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Information technology Business Data processing Software engineering Computer simulation Agriculture mathematics Computational Science and Engineering Simulation Modeling Environmental Monitoring/Analysis IT in Clasificación: 51 Matemáticas Resumen: This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field Nota de contenido: The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce En línea: http://dx.doi.org/10.1007/978-0-387-75181-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33858 Ejemplares
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Título : Complex Intelligent Systems and Their Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Fatos Xhafa ; Leonard Barolli ; Petraq J. Papajorgji Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 41 Número de páginas: XIV, 274 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-1636-5 Idioma : Inglés (eng) Palabras clave: Mathematics Computer organization system failures science Artificial intelligence Mathematical models Operations research Management Modeling and Industrial Systems Organization Communication Networks Intelligence (incl. Robotics) Research, Science System Performance Evaluation Math Applications in Clasificación: 51 Matemáticas Resumen: "Complex Intelligent Systems and Their Applications" presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts in areas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence. This book is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, the volume provides insights into the multidisciplinary nature of complex problems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent system design. Key Features of "Complex Intelligent Systems and Their Applications" include: - Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolve these problems. - Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence. - Real life examples presented throughout the book extend the text’s suitability to practitioners. This book presents the most recent interdisciplinary results in this area of research and can serve as a valuable tool for researchers interested in defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence Nota de contenido: Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models -- An Ontology-Based Approach for Supporting Business-IT Alignment -- EPCIS-Based Supply Chain Event Management -- Cost-Benefit Analysis to Hedge with Third-Party Producers in Demand-Driven Production -- A Security Assurance Model to Holistically Assess the Information Security Posture -- Risk-Aware Business Process Management—Establishing the Link Between Business and Security -- Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents -- Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System -- StreamAPAS: Query Language and Data Model -- Agent-Supported Programming of Multicore Computing Systems -- Multimodal and Agent-Based Human–Computer Interaction in Cultural Heritage Applications: an Overview -- Reinforced Operators in Fuzzy Clustering Systems En línea: http://dx.doi.org/10.1007/978-1-4419-1636-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33603 Complex Intelligent Systems and Their Applications [documento electrónico] / SpringerLink (Online service) ; Fatos Xhafa ; Leonard Barolli ; Petraq J. Papajorgji . - New York, NY : Springer New York, 2010 . - XIV, 274 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 41) .
ISBN : 978-1-4419-1636-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer organization system failures science Artificial intelligence Mathematical models Operations research Management Modeling and Industrial Systems Organization Communication Networks Intelligence (incl. Robotics) Research, Science System Performance Evaluation Math Applications in Clasificación: 51 Matemáticas Resumen: "Complex Intelligent Systems and Their Applications" presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts in areas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence. This book is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, the volume provides insights into the multidisciplinary nature of complex problems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent system design. Key Features of "Complex Intelligent Systems and Their Applications" include: - Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolve these problems. - Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence. - Real life examples presented throughout the book extend the text’s suitability to practitioners. This book presents the most recent interdisciplinary results in this area of research and can serve as a valuable tool for researchers interested in defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence Nota de contenido: Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models -- An Ontology-Based Approach for Supporting Business-IT Alignment -- EPCIS-Based Supply Chain Event Management -- Cost-Benefit Analysis to Hedge with Third-Party Producers in Demand-Driven Production -- A Security Assurance Model to Holistically Assess the Information Security Posture -- Risk-Aware Business Process Management—Establishing the Link Between Business and Security -- Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents -- Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System -- StreamAPAS: Query Language and Data Model -- Agent-Supported Programming of Multicore Computing Systems -- Multimodal and Agent-Based Human–Computer Interaction in Cultural Heritage Applications: an Overview -- Reinforced Operators in Fuzzy Clustering Systems En línea: http://dx.doi.org/10.1007/978-1-4419-1636-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33603 Ejemplares
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Título : Data Mining in Agriculture Tipo de documento: documento electrónico Autores: Antonio Mucherino ; SpringerLink (Online service) ; Petraq J. Papajorgji ; Panos M. Pardalos Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 34 Número de páginas: XVIII, 274 p. 92 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-88615-2 Idioma : Inglés (eng) Palabras clave: Mathematics Data mining Agriculture Mathematical models Operations research Management science Environmental sciences Modeling and Industrial Mining Knowledge Discovery Research, Science Math. Appl. in Clasificación: 51 Matemáticas Resumen: Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given. Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, ©2009 Nota de contenido: to Data Mining -- Statistical Based Approaches -- Clustering by -means -- -Nearest Neighbor Classification -- Artificial Neural Networks -- Support Vector Machines -- Biclustering -- Validation -- Data Mining in a Parallel Environment -- Solutions to Exercises En línea: http://dx.doi.org/10.1007/978-0-387-88615-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33912 Data Mining in Agriculture [documento electrónico] / Antonio Mucherino ; SpringerLink (Online service) ; Petraq J. Papajorgji ; Panos M. Pardalos . - New York, NY : Springer New York, 2009 . - XVIII, 274 p. 92 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 34) .
ISBN : 978-0-387-88615-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Data mining Agriculture Mathematical models Operations research Management science Environmental sciences Modeling and Industrial Mining Knowledge Discovery Research, Science Math. Appl. in Clasificación: 51 Matemáticas Resumen: Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given. Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, ©2009 Nota de contenido: to Data Mining -- Statistical Based Approaches -- Clustering by -means -- -Nearest Neighbor Classification -- Artificial Neural Networks -- Support Vector Machines -- Biclustering -- Validation -- Data Mining in a Parallel Environment -- Solutions to Exercises En línea: http://dx.doi.org/10.1007/978-0-387-88615-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33912 Ejemplares
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Título : Systems Analysis Tools for Better Health Care Delivery Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Panos M. Pardalos ; Pando G. Georgiev ; Petraq J. Papajorgji ; Britta Neugaard Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 74 Número de páginas: IX, 178 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5094-8 Idioma : Inglés (eng) Palabras clave: Mathematics Health administration Mathematical models optimization Operations research Management science Optimization Research, Science Administration Modeling and Industrial Clasificación: 51 Matemáticas Resumen: This book presents some recent systems engineering and mathematical tools for health care along with their real-world applications by health care practitioners and engineers. Advanced approaches, tools, and algorithms used in operating room scheduling and patient flow are covered. State-of-the-art results from applications of data mining, business process modeling, and simulation in healthcare, together with optimization methods, form the core of the volume. Systems Analysis Tools for Better Health Care Delivery illustrates the increased need of partnership between engineers and health care professionals. This book will benefit researchers and practitioners in health care delivery institutions, staff members and professionals of specialized hospital units, and lecturers and graduate students in engineering, applied mathematics, business administration and health care En línea: http://dx.doi.org/10.1007/978-1-4614-5094-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32241 Systems Analysis Tools for Better Health Care Delivery [documento electrónico] / SpringerLink (Online service) ; Panos M. Pardalos ; Pando G. Georgiev ; Petraq J. Papajorgji ; Britta Neugaard . - New York, NY : Springer New York : Imprint: Springer, 2013 . - IX, 178 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 74) .
ISBN : 978-1-4614-5094-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Health administration Mathematical models optimization Operations research Management science Optimization Research, Science Administration Modeling and Industrial Clasificación: 51 Matemáticas Resumen: This book presents some recent systems engineering and mathematical tools for health care along with their real-world applications by health care practitioners and engineers. Advanced approaches, tools, and algorithms used in operating room scheduling and patient flow are covered. State-of-the-art results from applications of data mining, business process modeling, and simulation in healthcare, together with optimization methods, form the core of the volume. Systems Analysis Tools for Better Health Care Delivery illustrates the increased need of partnership between engineers and health care professionals. This book will benefit researchers and practitioners in health care delivery institutions, staff members and professionals of specialized hospital units, and lecturers and graduate students in engineering, applied mathematics, business administration and health care En línea: http://dx.doi.org/10.1007/978-1-4614-5094-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32241 Ejemplares
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