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1. |
Record Nr. |
UNISALENTO991003133809707536 |
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Autore |
Barkan, Leonard |
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Titolo |
The gods made flesh : metamorphosis and the pursuit of paganism / by Leonard Barkan |
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Pubbl/distr/stampa |
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New Haven ; London : Yale University Press, [c1986] |
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ISBN |
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Descrizione fisica |
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XVI, 398 p. : 15 p. di tav. ; 24 cm. |
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Disciplina |
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Soggetti |
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Metamorfosi - Arte - Rappresentazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910816697603321 |
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Autore |
Sinopoli Jim |
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Titolo |
Advanced technology for smart buildings / / James Sinopoli |
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Pubbl/distr/stampa |
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Boston : , : Artech House, , [2016] |
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[Piscataqay, New Jersey] : , : IEEE Xplore, , [2016] |
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ISBN |
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Descrizione fisica |
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1 online resource (202 pages) : illustrations |
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Collana |
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Artech House power engineering library |
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Disciplina |
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Soggetti |
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Architecture - Technological innovations |
Intelligent buildings |
Smart structures |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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1. The Role of Owners and Architects in a Smart Building -- 1.1. Design Teams -- 1.2. Facility Programming -- 1.3. Siting the Building -- 1.4. |
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Sommario/riassunto |
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Authored by an accredited expert in the field, this timely new resource introduces technologies that can be used for advanced smart buildings, including renewable power, communications, indoor positioning, security management, and control systems. This book speaks to the innovation of advanced technology, particularly information technology within the building industry today and explores the potential benefits and issues with advanced technology and its applications and presents practical real-world case studies. This book demonstrates that the penetration of information technology in the building industry is a long term, major development that will affect homes, offices, and other buildings. Smart technology will impact the automation and communications in existing and new building systems. |
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3. |
Record Nr. |
UNINA9910483475603321 |
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Titolo |
Integration of AI and OR Techniques in Constraint Programming : 14th International Conference, CPAIOR 2017, Padua, Italy, June 5-8, 2017, Proceedings / / edited by Domenico Salvagnin, Michele Lombardi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXIII, 420 p. 78 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 10335 |
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Disciplina |
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Soggetti |
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Numerical analysis |
Artificial intelligence - Data processing |
Computer science - Mathematics |
Discrete mathematics |
Algorithms |
Artificial intelligence |
Operations research |
Management science |
Numerical Analysis |
Data Science |
Discrete Mathematics in Computer Science |
Artificial Intelligence |
Operations Research, Management Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Sharpening Constraint Programming approaches for Bit-Vector Theory -- Range-Consistent Forbidden Regions of Allen's Relations -- MDDs are Efficient Modeling Tools: An Application to Dispersion Constraints -- On Finding the Optimal Relaxed Decision Diagram -- Design and Implementation of Bounded-Length Sequence Variables -- In Search of Balance: The Challenge of Generating Balanced Latin Rectangles -- Debugging Unsatisfiable Constraint Models -- Learning Decision Trees with Exible Constraints and Objectives Using Integer Optimization -- Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery -- Minimizing Landscape Resistance for Habitat Conservation -- A Hybrid Approach for Stator Winding Design Optimization -- A Distributed Optimal Method for the Geographically Distributed Data Centres Problem -- Explanation-Based-Weighted Degree -- Counting-Weighted Spanning Trees to Solve Constrained Minimum Spanning Tree Problems -- The WeightedArborescence Constraint -- Learning When to Use a Decomposition -- Experiments with Conict Analysis in Mixed Integer Programming -- A First Look at Picking Dual Variables for Maximizing Reduced-cost Based fixing -- Experimental Validation of Volume-based Comparison for Double-McCormick Relaxations -- Vehicle Routing Problem with Min-max Objective and Heterogeneous Fleet -- Solving the Traveling Salesman Problem with Time Windows with Dynamic Discretization Discovery -- A Fast Prize-collecting Steiner Forest Algorithm for Functional Analyses in Biological Networks -- Scenario Based Learning for Stochastic Combinatorial Optimization -- Optimal Stock Sizing in a Cutting Stock Problem with Stochastic Demands -- Stochastic Task Networks: Trading Performance for Stability -- Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables -- A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem -- Combining CP and ILP in a Tree Decomposition of Bounded Height toSolve the Sum Coloring Problem -- A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond -- The Nemhauser-Trotter Reduction and Lifted Message Passing for Weighted CSPs -- A Local Search Approach for Incomplete Soft Constraint Problems: Experimental Results on Meeting Scheduling Problems. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 14th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2017, held in Padua, Italy, in June 2017. The 32 full papers presented together with 6 abstracts were carefully reviewed and selected from numerous submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in the intersection of these fields and provides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems. |
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