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[null,"1.","Record Nr.",null,"UNINA9910458814703321"]
[null,null,"Titolo",null,"Collection of simulated XRD powder patterns for zeolites [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam ; ; Oxford, : Elsevier, 2007"]
[null,null,"ISBN",null,"1-281-09630-X"]
[{"$nulls":4},"9786611096304"]
[{"$nulls":4},"0-08-055578-0"]
[null,null,"Edizione",null,"[5th rev. ed. /]"]
[null,null,"Descrizione fisica",null,"1 online resource (493 p.)"]
[null,null,"Disciplina",null,"666.86"]
[null,null,"Soggetti",null,"Zeolites - Analysis"]
[{"$nulls":4},"Zeolites - Structure"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Previous ed.: Amsterdam; Oxford: Elsevier Science, 2001."]
[{"$nulls":4},"Published on behalf of the Structure Commission of the International Zeolite Association."]
[null,null,"Nota di contenuto",null,"Front Cover; Collection of Simulated XRD Powder Patterns for Zeolites; Copyright Page; TABLE OF CONTENTS; Preface; Explanatory Notes; Powder Pattern Identification Table; Powder Patterns; Powder Pattern Simulations of Disordered Intergrowths"]
[null,null,null,"Sommario/riassunto","This 5th edition of the Zeolite Powder Pattern Collection contains calculated patterns of 218 zeolite materials representing 174 framework topologies. The almost exponential growth of new zeolite topologies reflects the continued success of zeolite synthesis researchers in producing novel materials.  Collection of Simulated XRD Powder Patterns for Zeolites includes materials of interest to zeolite scientists following the policies established at recent IZA conferences. The materials included have corner-sharing tetrahedral frameworks with no restrictions on chemical composition."]
[null,"2.","Record Nr.",null,"UNINA9910141501503321"]
[null,null,"Titolo",null,"Energy autonomous micro and nano systems [[electronic resource] /] / edited by Marc Belleville, Cyril Condemine"]
[null,null,"Pubbl/distr/stampa",null,"London, : ISTE"]
[{"$nulls":4},"Hoboken, N.J., : Wiley, 2012"]
[null,null,"ISBN",null,"1-118-56183-X"]
[{"$nulls":4},"1-118-58750-2"]
[{"$nulls":4},"1-118-58782-0"]
[null,null,"Descrizione fisica",null,"1 online resource (394 p.)"]
[null,null,"Collana",null,"ISTE"]
[null,null,"Disciplina",null,"620.5"]
[{"$nulls":4},"620/.5"]
[null,null,"Soggetti",null,"Electric power supplies to apparatus"]
[{"$nulls":4},"Low voltage systems"]
[{"$nulls":4},"Direct energy conversion"]
[{"$nulls":4},"Energy conservation - Equipment and supplies"]
[{"$nulls":4},"Nanoelectromechanical systems"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Sensors at the core of building control -- Towards energy-autonomous medical implants -- Energy autonomous systems in aeronautic applications -- Energy harvesting by photovoltaic effect -- Mechanical energy harvesting -- Thermal energy harvesting -- Lithium micro-batteries -- Ultra-low power sensors -- Ultra-low power signal processing in autonomous systems -- Ultra-low power radio frequency communications and protocols -- Energy management in an autonomous microsystem -- Optimizing energy efficiency of sensor networks."]
[null,null,null,"Sommario/riassunto","Providing a detailed overview of the fundamentals and latest developments in the field of energy autonomous microsystems, this book delivers an in-depth study of the applications in the fields of health and usage monitoring in aeronautics, medical implants, and home automation, drawing out the main specifications on such systems. Introductory information on photovoltaic, thermal and mechanical energy harvesting, and conversion, is given, along with the "]
[{"$nulls":4},"latest results in these fields. This book also provides a state of the art of ultra-low power sensor interfaces, digital signal processing a"]
[null,"3.","Record Nr.",null,"UNISA996466569603316"]
[null,null,"Titolo",null,"Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III / / edited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010"]
[null,null,"ISBN",null,"1-280-38926-5"]
[{"$nulls":4},"9786613567185"]
[{"$nulls":4},"3-642-15939-7"]
[null,null,"Edizione",null,"[1st ed. 2010.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXII, 632 p. 183 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 6323"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Regular Papers -- Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations -- Unsupervised Trajectory Sampling -- Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations -- Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models -- Learning with Ensembles of Randomized Trees : New Insights -- Entropy and Margin Maximization for Structured Output Learning -- Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms -- Adapting Decision DAGs for Multipartite Ranking -- Fast "]
[{"$nulls":4},"and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs -- Modeling Relations and Their Mentions without Labeled Text -- An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery -- Selecting Information Diffusion Models over Social Networks for Behavioral Analysis -- Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach -- Online Structural Graph Clustering Using Frequent Subgraph Mining -- Large-Scale Support Vector Learning with Structural Kernels -- Synchronization Based Outlier Detection -- Laplacian Spectrum Learning -- k-Version-Space Multi-class Classification Based on k-Consistency Tests -- Complexity Bounds for Batch Active Learning in Classification -- Semi-supervised Projection Clustering with Transferred Centroid Regularization -- Permutation Testing Improves Bayesian Network Learning -- Example-dependent Basis Vector Selection for Kernel-Based Classifiers -- Surprising Patterns for the Call Duration Distribution of Mobile Phone Users -- Variational Bayesian Mixture of Robust CCA Models -- Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis -- Topic Models Conditioned on Relations -- Shift-Invariant Grouped Multi-task Learning for Gaussian Processes -- Nonparametric Bayesian Clustering Ensembles -- Directed Graph Learning via High-Order Co-linkage Analysis -- Incorporating Domain Models into Bayesian Optimization for RL -- Efficient and Numerically Stable Sparse Learning -- Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes -- Many-to-Many Graph Matching: A Continuous Relaxation Approach -- Competitive Online Generalized Linear Regression under Square Loss -- Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning -- Fast, Effective Molecular Feature Mining by Local Optimization -- Demo Papers -- AnswerArt - Contextualized Question Answering -- Real-Time News Recommender System -- CET: A Tool for Creative Exploration of Graphs -- NewsGist: A Multilingual Statistical News Summarizer -- QUEST: Query Expansion Using Synonyms over Time -- Flu Detector - Tracking Epidemics on Twitter -- X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction -- SOREX: Subspace Outlier Ranking Exploration Toolkit -- KDTA: Automated Knowledge-Driven Text Annotation -- Detecting Events in a Million New York Times Articles -- Experience STORIES: A Visual News Search and Summarization System -- Exploring Real Mobility Data with M-Atlas."]