1.

Record Nr.

UNINA990003270330403321

Autore

Angiuli, Giustino

Titolo

I CONTI ECONOMICI REGIONALI 1974

Pubbl/distr/stampa

Milano : Franco Angeli, 1976

Descrizione fisica

pp. 239

Disciplina

074.002

Locazione

DECGE

Collocazione

074.002.ANG

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA990006147910403321

Autore

De Robertis, Francesco M.

Titolo

Le associazioni religiose con particolare riguardo allo scopo funerario nel mondo romano : i successivi sviluppi / Francesco Maria De Robertis

Pubbl/distr/stampa

Fasano : Schena, 1988

Descrizione fisica

29-43 p. ; 43 cm

Collana

Biblioteca della ricerca , Puglia storica ; 1

Disciplina

340.54

Locazione

FGBC

Collocazione

BUSTA 1 (16) 23

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910458711103321

Autore

Hingst Amanda Jane <1976->

Titolo

The written world [[electronic resource] ] : past and place in the work of Orderic Vitalis / / Amanda Jane Hingst

Pubbl/distr/stampa

Notre Dame, Ind., : University of Notre Dame Press, c2009

ISBN

0-268-08159-X

Descrizione fisica

1 online resource (297 p.)

Disciplina

270.4

Soggetti

Church history - Middle Ages, 600-1500

Religion and geography

Crusades

Normans

Electronic books.

Normandy (France) History To 1515

Great Britain History To 1485

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references (p. 215-259) and index.

Nota di contenuto

Ouche : the history of a place -- Classical geography and the gens normannorum -- At sea -- Albion : conquest, hegemony, and the English past -- Jerusalem and the ends of the earth -- Haunted landscapes -- Historians, heretics, and the body of Christ.



4.

Record Nr.

UNISA990002733840203316

Autore

PLISNIER, Charles <1896-1952>

Titolo

Folies douces / Charles Plisnier ; préface de Vera Feyder ; lecture de Luc Dellisse

Pubbl/distr/stampa

Bruxelles, : Labor, copyr. 1986

ISBN

2-8040-0159-8

Descrizione fisica

238 p., [4] c. di tav. : ill. ; 18 cm

Collana

Espace Nord ; 29

Disciplina

843.913

Collocazione

XV.4. Coll. 1/154

Lingua di pubblicazione

Francese

Formato

Materiale a stampa

Livello bibliografico

Monografia

5.

Record Nr.

UNINA9910816303403321

Autore

Haigh Karen

Titolo

Cognitive Electronic Warfare : An Artificial Intelligence Approach

Pubbl/distr/stampa

Norwood : , : Artech House, , 2021

©2021

ISBN

1-5231-4584-6

1-63081-812-7

Edizione

[1st ed.]

Descrizione fisica

1 online resource (261 pages)

Collana

Artech House electronic warfare library

Altri autori (Persone)

AndrusenkoJulia

Disciplina

623.043

Soggetti

Artificial intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Intro -- Cognitive Electronic Warfare: An Artificial Intelligence Approach -- Contents -- Foreword -- Preface -- 1 Introduction to Cognitive EW



-- 1.1&#x2003;What Makes a Cognitive System? -- 1.2&#x2003;A Brief Introduction to EW -- 1.3&#x2003;EW Domain Challenges Viewed from an AI Perspective -- 1.3.1&#x2003;SA for ES and EW BDA -- 1.3.2&#x2003;DM for EA, EP, and EBM -- 1.3.3&#x2003;User Requirements -- 1.3.4&#x2003;Connection between CR and EW Systems -- 1.3.5&#x2003;EW System Design Questions -- 1.4&#x2003;Choices: AI or Traditional? -- 1.5&#x2003;Reader's Guide -- 1.6&#x2003;Conclusion -- References -- 2 Objective Function -- 2.1&#x2003;Observables That Describe the Environment -- 2.1.1&#x2003;Clustering Environments -- 2.2&#x2003;Control Parameters to Change Behavior -- 2.3&#x2003;Metrics to Evaluate Performance -- 2.4&#x2003;Creating a Utility Function -- 2.5&#x2003;Utility Function Design Considerations -- 2.6&#x2003;Conclusion -- References -- 3 ML Primer -- 3.1&#x2003;Common ML Algorithms -- 3.1.1&#x2003;SVMs -- 3.1.2&#x2003;ANNs -- 3.2&#x2003;Ensemble Methods -- 3.3&#x2003;Hybrid ML -- 3.4&#x2003;Open-Set Classification -- 3.5&#x2003;Generalization and Meta-learning -- 3.6&#x2003;Algorithmic Trade-Offs -- 3.7&#x2003;Conclusion -- References -- 4 Electronic Support -- 4.1&#x2003;Emitter Classification and Characterization -- 4.1.1&#x2003;Feature Engineering and Behavior Characterization -- 4.1.2&#x2003;Waveform Classification -- 4.1.3&#x2003;SEI -- 4.2&#x2003;Performance Estimation -- 4.3&#x2003;Multi-Intelligence Data Fusion -- 4.3.1&#x2003;Data Fusion Approaches -- 4.3.2&#x2003;Example: 5G Multi-INT Data Fusion for Localization -- 4.3.3&#x2003;Distributed-Data Fusion -- 4.4&#x2003;Anomaly Detection -- 4.5&#x2003;Causal Relationships -- 4.6&#x2003;Intent Recognition -- 4.6.1&#x2003;Automatic Target Recognition and Tracking -- 4.7&#x2003;Conclusion -- References -- 5 EP and EA -- 5.1&#x2003;Optimization -- 5.1.1&#x2003;Multi-Objective Optimization -- 5.1.2&#x2003;Searching Through the Performance Landscape -- 5.1.3&#x2003;Optimization Metalearning -- 5.2&#x2003;Scheduling -- 5.3&#x2003;Anytime Algorithms -- 5.4&#x2003;Distributed Optimization -- 5.5&#x2003;Conclusion.

References -- 6 EBM -- 6.1&#x2003;Planning -- 6.1.1&#x2003;Planning Basics: Problem Definition, and Search -- 6.1.2&#x2003;Hierarchical Task Networks -- 6.1.3&#x2003;Action Uncertainty -- 6.1.4&#x2003;Information Uncertainty -- 6.1.5&#x2003;Temporal Planning and Resource Management -- 6.1.6&#x2003;Multiple Timescales -- 6.2&#x2003;Game Theory -- 6.3&#x2003;HMI -- 6.4&#x2003;Conclusion -- References -- 7 Real-Time In-mission Planning and Learning -- 7.1&#x2003;Execution Monitoring -- 7.1.1&#x2003;EW BDA -- 7.2&#x2003;In-Mission Replanning -- 7.3&#x2003;In-Mission Learning -- 7.3.1&#x2003;Cognitive Architectures -- 7.3.2&#x2003;Neural Networks -- 7.3.3&#x2003;SVMs -- 7.3.4&#x2003;Multiarmed Bandi -- 7.3.5&#x2003;MDPs -- 7.3.6&#x2003;Deep Q-Learning -- 7.4&#x2003;Conclusion -- References -- 8 Data Management -- 8.1&#x2003;Data Management Process -- 8.1.1&#x2003;Metadata -- 8.1.2&#x2003;Semantics -- 8.1.3&#x2003;Traceability -- 8.2&#x2003;Curation and Bias -- 8.3&#x2003;Data Management -- 8.3.1&#x2003;Data in an Embedded System -- 8.3.2&#x2003;Data Diversity -- 8.3.3&#x2003;Data Augmentation -- 8.3.4&#x2003;Forgetting -- 8.3.5&#x2003;Data Security -- 8.4&#x2003;Conclusion -- References -- 9 Architecture -- 9.1&#x2003;Software Architecture: Interprocess -- 9.2&#x2003;Software Architecture: Intraprocess -- 9.3&#x2003;Hardware Choices -- 9.4&#x2003;Conclusion -- References -- 10 Test and Evaluation -- 10.1&#x2003;Scenario Driver -- 10.2&#x2003;Ablation Testing -- 10.3&#x2003;Computing Accuracy -- 10.3.1&#x2003;Regression and Normalized



RMSE -- 10.3.2&#x2003;Classification and Confusion Matrices -- 10.3.3&#x2003;Evaluating Strategy Performance -- 10.4&#x2003;Learning Assurance: Evaluating a Cognitive System -- 10.4.1&#x2003;Learning Assurance Process -- 10.4.2&#x2003;Formal Verification Methods -- 10.4.3&#x2003;Empirical and Semiformal Verification Methods -- 10.5&#x2003;Conclusion -- References -- 11 Getting Started: First Steps -- 11.1&#x2003;Development Considerations -- 11.2&#x2003;Tools and Data -- 11.2.1&#x2003;ML Toolkits -- 11.2.2&#x2003;ML Datasets -- 11.2.3&#x2003;RF Data-Generation Tools -- 11.3&#x2003;Conclusion -- References -- Acronyms -- About the Authors -- Index.

Sommario/riassunto

This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.