Search Results - (((((((ant OR manthe) OR find) OR mantic) OR cantor) OR anne) OR halted) OR grkanting) algorithms.

Metaheuristics for intelligent electrical networks by Héliodore, Frédéric, Nakib, Amir, Ismail, Boussaad, Ouchraa, Salma, Schmitt, Laurent

Table of Contents: “…2.2.1. Genetic algorithms2.2.2. Evolution strategies; 2.2.3. Coevolutionary algorithms; 2.2.4. …”
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Theory and applications of image registration by Goshtasby, Ardeshir

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Applications of digital signal processing to audio and acoustics

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Quantum Computation and Information. by Lomonaco, Samuel J.

Table of Contents: “…Vintage Shor QHSAs with group probe Ã?= ZQ. -- 14. Finding Shor transversals for vintage ZQ Shor algorithms -- 15. …”
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Mathematical Software : Proceedings of the First International Congress of Mathematical Software, Beijing, China 17-19 August 2002. by Cohen, Arjeh M.

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OIPE 2012

Table of Contents: “…N-level output space mapping for electromagnetic design optimizationHigh-speed functionality optimization of five-phase PM machine using third harmonic current; Topology optimization of magnetostatic shielding using multistep evolutionary algorithms with additional searches in a restricted design space ; Adaptive unscented transform for uncertainty quantification in EMC large-scale systems; Ant colony optimization for the topological design of interior permanent magnet (IPM)machines; Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators.…”
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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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Computational Systems Bioinformatics (Volume 6) : Proceedings of the CSB 2007 Conference. by Markstein, Peter

Table of Contents: “…Problem Formulation; 2.2. Algorithmic Framework; 2.2.1. Finding the MS spectrum match; 2.2.2. …”
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Design of Ultra Wideband Power Transfer Networks : Real Frequency Techniques and Road Maps for Practical Designs. by Yarman, Binboga Siddik

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Digital signal processing with kernel methods by Rojo-Álvarez, José Luis, 1972-, Martínez-Ramón, Manel, 1968-, Muñoz Marí, Jordi, Camps-Valls, Gustavo, 1972-

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Image processing for embedded devices : from CFA data to image/video coding

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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Calculating the Secrets of Life : Contributions of the Mathematical Sciences to Molecular Biology. by Lander, Eric S.

Table of Contents: “…Efficient AlgorithmsStatistical Significance; Excursion: Susceptibility to Colon Cancer in Mice and the Large Deviation Theory of Diffusion Processes; PHYSICAL MAPPING; Assembling Physical Maps by ""Fingerprinting"" Random Clones; Excursion: Designing a Strategy to Map the Human Genome; CONCLUSION; REFERENCES; Chapter 3 Seeing Conserved Signals: Using Algorithms to Detect Similarities between Biosequences ; FINDING GLOBAL SIMILARITIES; Visualizing Alignments: Edit Graphs; The Basic Dynamic Programming Algorithm; FINDING LOCAL SIMILARITIES; VARIATIONS ON SEQUENCE COMPARISON.…”
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Emitter detection and geolocation for electronic warfare by O'Donoughue, Nicholas A.

Table of Contents: “…6.2 MAXIMUM LIKELIHOOD ESTIMATION -- 6.3 OTHER ESTIMATORS -- 6.3.1 Minimum Variance Unbiased Estimators -- 6.3.2 Bayes Estimators -- 6.3.3 Least Square Estimators -- 6.3.4 Convex Estimators -- 6.3.5 Tracking Estimators -- 6.4 PERFORMANCE MEASURES -- 6.4.1 Root Mean Squared Error (RMSE) -- 6.4.2 CRLB -- 6.4.3 Angle Error Variance and Confidence Intervals -- 6.5 PROBLEM SET -- References -- Chapter 7 Direction-Finding Systems -- 7.1 BEAM PATTERN-BASED DIRECTION FINDING -- 7.1.1 Implementation -- 7.1.2 Performance -- 7.2 WATSON-WATT DIRECTION FINDING -- 7.2.1 Implementation -- 7.2.2 Performance…”
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Quantum Computation And Quantum Information Theory : Reprint Volume with Introductory Notes for ISI TMR Network School. by Zeilinger, A.

Table of Contents: “…2.4 Going Beyond Bell's Theorem 2.5 What is Wrong with These Elements of Reality -- 2.6 Observation of Three-Photon Greenberger-Horne-Zeilinger Entanglement -- Quantum Algorithms -- 3. Quantum Algorithms -- 3.1 An Overview of Quantum Computing -- 3.2 On Quantum Algorithms…”
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Domain Decomposition Methods in Science and Engineering : Proceedings of the Seventh International Conference on Domain Decomposition October 27-30, 1993, the Pennsylvania State U... by Keyes, David E.

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Foundations of bilevel programming by Dempe, Stephan

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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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Learning Boost C++ libraries : solve practical programming problems using powerful, portable, and expressive libraries from Boost by Mukherjee, Arindam

Table of Contents: “…Shared ownership semanticsboost::shared_ptr and std::shared_ptr; Intrusive smart pointers -- boost::intrusive_ptr; shared_array; Managing non-memory resources using smart pointers; Self-test questions; Summary; References; Chapter 4: Working with Strings; Text processing with Boost String Algorithms library; Using Boost String Algorithms; Find algorithms; Case-conversion and trimming algorithms; The replace and erase algorithms; The split and join algorithms; Splitting text using the Boost Tokenizer library; Tokenizing based on separators…”
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