Search Results - (((((((ant OR mkantis) OR changing) OR alter) OR cantor) OR anne) OR wind) OR wanting) algorithms.

Automatic defense against zero-day polymorphic worms in communication networks by Mohammed, Mohssen, 1982-

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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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Genome Sequencing Technology and Algorithms. by Kim, Sun

Table of Contents: “…Genome Sequencing Technolog and Algorithms; List of Contributors; Contents; Part I The New DNA Sequencing Technology; 1 An Overview of New DNA Sequencing Technology; 2 Array-Based Pyrosequencing Technology; 3 The Role of Resequencing Arrays in RevolutionizingDNA Sequencing; 4 Polony Sequencing; 5 Genome Sequencing: A Complex Path to PersonalizedMedicine; Part II Genome Sequencing and Fragment Assembly; 6 Overview of Genome Assembly Techniques; 7 Fragment Assembly Algorithms; 8 Assembly for Double-Ended Short-Read SequencingTechnologies; Part III Beyond Conventional Genome Sequencing.…”
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Algorithmic Diagnosis of Symptoms and Signs. by Collins, R. Douglas

Table of Contents: “…Intro; Half Title Page; Title Page; Copyright Page; Preface to the Fourth Edition; Preface to the First Edition; Introduction; Contents; Part 1 Getting the Most out of Your History and Physical Examination; Part 2 Algorithms of Symptoms and Signs; Abdominal Pain, Acute; Abdominal Pain, Chronic Recurrent; Abdominal Rigidity; Abdominal Swelling, Focal; Abdominal Swelling, Generalized; Absent or Diminished Pulse; Acid Phosphatase Elevation; Acidosis (Decreased pH); Alkaline Phosphatase Elevation; Alkalosis (Increased pH); Alopecia; Alterations in Serum Iron; Alteration in Serum Uric Acid.…”
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Graph algorithms and applications 3

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Adaptive Algorithms and Stochastic Approximations by Benveniste, Albert, Métivier, Michel, Priouret, Pierre

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

Table of Contents: “…Ant colony optimization…”
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Digital Video and HD : Algorithms and Interfaces. by Poynton, Charles

Table of Contents: “…Picture rendering; Surround effect; Tone scale alteration; Incorporation of rendering; Rendering in desktop computing.…”
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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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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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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 JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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

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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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Time reversability, computer simulation, algorithms, chaos by Hoover, William G. (William Graham), 1936-

Table of Contents: “…4.3 Microscopic Basis of the Irreversible Linear Laws4.4 Solving the Linear Macroscopic Equations; 4.5 Nonequilibrium Entropy Changes; 4.6 Fluctuations and Nonequilibrium States; 4.7 Deviations from the Phenomenological Linear Laws; 4.8 Causes of Irreversibility a la Boltzmann and Lyapunov; 4.9 Rayleigh-Benard Algorithm with Atomistic Flow; 4.10 Rayleigh-Benard Algorithm for a Continuum; 4.11 Three Rayleigh-Benard Example Problems; 4.11.1 Rayleigh-Benard Flow via Lorenz' Attractor; 4.11.2 Rayleigh-Benard Flow with Continuum Mechanics; 4.11.3 Rayleigh-Benard Flow with Molecular Dynamics.…”
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Between stillness and motion : film, photography, algorithms

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We are data : algorithms and the making of our digital selves by Cheney-Lippold, John

Table of Contents: “…-- Privacy: wanted dead or alive -- Conclusion: ghosts in the machine.…”
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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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A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

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