Search Results - (((((((ant OR mantis) OR semantic) OR art) OR cantor) OR anne) OR wyant) OR wanting) algorithms.

Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Table of Contents: “…Ant colony optimization…”
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Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Preliminaries and State of the Art; Semantic Web; History and Vision; RDF and SPARQL; Description Logics; OWL; Concept Learning and Inductive Reasoning; History, Tools, and Applications; Learning Problems in OWL/DLs; Refinement Operators in OWL/DLs; Chapter 3. …”
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Natural language processing : semantic aspects by Kapetanios, Epaminondas, Tatar, Doina, 1943-, Sacarea, Christian

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Introduction to programming : learn to program in Java with data structures, algorithms, and logic by Samoylov, Nick

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Nearest-neighbor methods in learning and vision : theory and practice

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Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

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Algorithms, architectures and information systems security

Table of Contents: “…Theory of a Practical Delaunay Meshing Algorithm for a Large Class of Domains S.-W. Cheng, T.K. …”
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Body sensor networking, design, and algorithms by Sanei, Saeid, Jarchi, Delaram, 1983-, Constantinides, A. G.

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

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Learning Neo4j 3.x - Second Edition. by Baton, Jerome

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Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. by Dhope, Tanuja S.

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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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Evolutionary algorithms for mobile ad hoc networks

Table of Contents: “…3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS3.1 TAXONOMY OF THE OPTIMIZATION PROCESS; 3.2 STATE OF THE ART; 3.3 CONCLUSION; REFERENCES; 4 MOBILE NETWORKS SIMULATION; 4.1 SIGNAL PROPAGATION MODELING; 4.2 STATE OF THE ART OF NETWORK SIMULATORS; 4.3 MOBILITY SIMULATION; 4.4 CONCLUSION; REFERENCES; PART II: PROBLEMS OPTIMIZATION; 5 PROPOSED OPTIMIZATION FRAMEWORK; 5.1 ARCHITECTURE; 5.2 OPTIMIZATION ALGORITHMS; 5.3 SIMULATORS; 5.4 EXPERIMENTAL SETUP; 5.5 CONCLUSION; REFERENCES; 6 BROADCASTING PROTOCOL; 6.1 THE PROBLEM; 6.2 EXPERIMENTS; 6.3 ANALYSIS OF RESULTS; 6.4 CONCLUSION.…”
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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid, 1974-, Solgi, Mohammad, 1989-, Loaiciga, Hugo A.

Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…Cover -- POEMS THAT SOLVE PUZZLES -- Copyright -- Dedication -- Foreword -- About the Author -- Contents -- Introduction -- The Trainee Librarian -- The Algorithm Machine -- 1 Ancient Algorithms -- Etched in Clay -- Uncovered at Last -- Elegance and Beauty -- Finding Primes -- 2 Ever-Expanding Circles -- Wheels Within Wheels -- World Records -- The Art of Reckoning -- Waves Upon Waves -- 3 Computer Dreams -- A Clockwork Computer -- The Turing Machine -- 4 Weather Forecasts -- Numerical Forecasts -- ENIAC -- Monte Carlo -- Computer Forecasts -- Chaos -- Long-Range Forecasts…”
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Algorithms for sample preparation with microfluidic lab-on-chip by Bhattacharjee, Sukanta, Bhattacharya, Bhargab B., Chakrabarty, Krishnendu

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Against all odds : historical women and new algorithms

Fundamentals of grid computing : theory, algorithms and technologies

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Between stillness and motion : film, photography, algorithms

Table of Contents: “…Fassbinder's films / Christa Blümlinger -- The temporalities of the narrative slide motion film / Liv Hausken -- The cinematic turn in the arts. Stop/motion / Thomas Elsaesser -- After "photography's expanded field" / George Baker -- On 'On Otto': moving images and the new collectivity / Ina Blom -- The algorithmic turn. …”
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