Search Results - (((((((kant OR manthe) OR wind) OR semantic) OR cantor) OR anne) OR halted) OR graning) algorithms.

Theory of randomized search heuristics : foundations and recent developments

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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Offshore wind energy technology by Anaya-Lara, Olimpo, Tande, John O., 1962-, Uhlen, Kjetil, 1961-, Merz, Karl, 1978-

Table of Contents: “…4 Fixed and Floating Offshore Wind Turbine Support Structures4.1 Introduction; 4.2 Bottom-fixed Support Structures; 4.3 Floating Support Structures; 4.4 Design Considerations; 4.5 Conceptual Design; 4.6 Loads in the Marine Environment; 4.7 Global Dynamic Analysis of Offshore Wind Turbines; 4.8 Conclusions; 4.9 References; 5 Offshore Wind Turbine Controls; 5.1 Control Objectives, Sensors and Actuators; 5.2 Control Algorithms; 5.3 A Linear Aeroelastic Loads Model for Closed-loop System Dynamics; 5.4 Basic Rotor Speed Control in Operating Regions I and II; 5.5 Active Damping and Load Reduction.…”
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Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Semantic matchmaking with nonmonotonic description logics by Grimm, Stephan

Table of Contents: “…Nonmonotonic Reasoning in the Semantic WebNonmonotonic Description Logics; Autoepistemic Description Logics; Formal Semantics for Autoepistemic DLs; Reasoning with Epistemic Operators; Circumscriptive Description Logics; Formal Semantics for Circumscriptive DLs; Reasoning with Circumscribed Knowledge Bases; Terminological Defaults; Discussion; A Reasoning Algorithm for Circumscriptive Description Logics; Principle Idea of a Tableaux Extension; Extending DL Tableaux Calculi by Preference Clashes; Restrictions on the Formalism; Deciding Circumscriptive ALCO…”
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Machine Learning Algorithms and Applications. by Srinivas, Mettu

Table of Contents: “…2.4 Dataset Generation -- 2.5 Results -- 2.6 Conclusion -- Acknowledgment -- References -- 3 A Wind Speed Prediction System Using Deep Neural Networks -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Results and Discussions -- 3.4 Conclusion -- References -- 4 Res-SE-Net: Boosting Performance of ResNets by Enhancing Bridge Connections -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Preliminaries -- 4.4 Proposed Model -- 4.5 Experiments -- 4.6 Results -- 4.7 Conclusion -- References -- 5 Sakshi Aggarwal, Navjot Singh and K.K. …”
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Graph algorithms and applications 3

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Data management in the semantic web

Table of Contents: “…DATA MANAGEMENT IN THE SEMANTIC WEB ; DATA MANAGEMENT IN THE SEMANTIC WEB ; CONTENTS ; PREFACE ; INTERPRETATIONS OF THE WEB OF DATA; Abstract; 1. …”
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Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Refinement Operator Based OWL Learning Algorithms; OCEL (OWL Class Expression Learner); Redundancy Elimination; Creating a Full Learning Algorithm; ELTL (EL Tree Learner)…”
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Natural language processing : semantic aspects by Kapetanios, Epaminondas, Tatar, Doina, 1943-, Sacarea, Christian

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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS) by Amrane, Fayssal, Chaiba, Azeddine

Table of Contents: “…Robustness Tests7 for Mode 1, Mode 2 Mode 3 -- A-Mode 1 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- B-Mode 2 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- C-Mode 3 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- 7. WIND-SYSTEM PERFORMANCES RECAPITULATION UNDER SIX (06) PROPOSED IDPC ALGORITHMS -- CONCLUSION -- NOTES -- REFERENCES -- General Conclusion -- 5.1. …”
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Learning Neo4j 3.x - Second Edition. by Baton, Jerome

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Coherent Doppler Wind Lidars in a Turbulent Atmosphere. by Banakh, V. A. (Viktor Arsentʹevich)

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Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…6.1.4 Evaluation Metrics -- 6.1.4.1 Precision-Recall Curve -- 6.1.4.2 Average Precision and Mean Average Precision -- 6.1.5 Applications -- 6.2 Preliminaries on Object Detection with Deep Models -- 6.2.1 Two-stage Algorithms -- 6.2.1.1 R-CNNs -- 6.2.1.2 R-FCN -- 6.2.2 One-stage Algorithms -- 6.2.2.1 YOLO -- 6.2.2.2 SSD -- 6.3 Object Detection in Optical RS Images -- 6.3.1 Related Works -- 6.3.1.1 Scale Variance -- 6.3.1.2 Orientation Variance -- 6.3.1.3 Oriented Object Detection -- 6.3.1.4 Detecting in Large-size Images -- 6.3.2 Datasets and Benchmark -- 6.3.2.1 DOTA -- 6.3.2.2 VisDrone…”
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Fundamentals of grid computing : theory, algorithms and technologies

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Romance syntax, semantics and L2 acquisition : selected papers from the 30th Linguistic Symposium on Romance Languages : Gainesville, Florida, February 2000

Table of Contents: “…ROMANCE SYNTAX, SEMANTICS AND L2 ACQUISITION -- Editorial page -- Title page -- Copyright page -- Acknowledgements -- Table of contents -- CONTRIBUTORS -- Dedication -- ROMANCE SYNTAX, SEMANTICS, AND L2 ACQUISITION -- 0. …”
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What Is Thought? by Baum, Eric B., 1957-

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Condition Monitoring with Vibration Signals : Compressive Sampling and Learning Algorithms for Rotating Machines. by Nandi, Asoke K.

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Entity information life cycle for big data : master data management and information integration by Talburt, John R., Zhou, Yinle, 1986-

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