Search Results - (((((((ant OR when) OR kantor) OR carter) OR cantor) OR anne) OR find) OR cantab) algorithms.

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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Sentient Enterprise The Evolution of Business Decision-making.

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Mount Sinai expert guides. Hepatology

Table of Contents: “…Cover; Title page; Copyright page; Contents; List of Contributors; Series Foreword; Preface; Abbreviation List; About the Companion Website; PART 1: Hepatology; CHAPTER 1: Approach to the Patient with Abnormal Liver Tests; Section 1: Background; Definition of disease; Disease classification; Etiology; Pathology/pathogenesis; Section 2: Prevention; Section 3: Diagnosis; Typical presentation; Clinical diagnosis; Laboratory diagnosis; Diagnostic algorithm; Potential pitfalls/common errors made regarding diagnosis of disease; Section 4: Treatment; When to hospitalize…”
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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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Modern optimization methods for science, engineering and technology

Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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Rough fuzzy image analysis : foundations and methodologies

Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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Energy Psychology : Explorations at the Interface of Energy, Cognition, Behavior, and Health. by Gallo, Fred P.

Table of Contents: “…Manual Muscle Testing and KinesiologyApplied Kinesiology Offshoots; Empirical Research on Manual Muscle Testing; Muscle Testing Proficiency; Integrity and Muscle Testing; Therapy and Diagnosis; Self-Testing; Therapeutic Algorithms vs. Causal Diagnostics; Energy Psychology and Manual Muscle Testing; Abuses of Manual Muscle Testing and Algorithms; Manual Muscle Testing and Intuition; Unwarranted Uses; When We're Stumped; Systemic Manual Muscle Testing.…”
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Prognostics and Health Management of Engineering Systems : an Introduction. by Kim, Nam-Ho

Table of Contents: “…2.2.2 When a Degradation Model Is Available (Physics-Based Approaches)2.2.2.1 Problem Definition; 2.2.2.2 Parameter Estimation and Degradation Prediction; 2.2.2.3 Effect of Noise in Data; 2.2.3 When a Degradation Model Is NOT Available (Data-Driven Approaches); 2.2.3.1 Function Evaluation; 2.2.3.2 Overfitting; 2.2.3.3 Prognosis with More Training Data; 2.3 RUL Prediction; 2.3.1 RUL; 2.3.2 Prognostics Metrics; 2.3.2.1 Prognostic Horizon (PH); 2.3.2.2 varvec{ alpha { -- } lambda} Accuracy; 2.3.2.3 (Cumulative) Relative Accuracy (RA, CRA); 2.3.2.4 Convergence; 2.3.2.5 Results with MATLAB Code.…”
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Elements of algebraic coding systems by Rocha, Valdemar C. da, 1947-

Table of Contents: “…Constructing f-reducing polynomials -- 7.1 Introduction -- 7.2 Factoring polynomials over large finite fields -- 7.2.1 Resultant -- 7.2.2 Algorithm for factorization based on the resultant -- 7.2.3 The Zassenhaus algorithm -- 7.3 Finding roots of polynomials over finite fields -- 7.3.1 Finding roots when p is large -- 7.3.2 Finding roots when q = pm is large but p is small -- 7.4 Problems with solutions.…”
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Analysis of biological data : a soft computing approach

Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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Structured Matrices in Mathematics, Computer Science, and Engineering. by Olshevsky, Vadim

Table of Contents: “…Contents -- Foreword -- Part V. Fast Algorithms -- The Schur algorithm for matrices with Hessenberg displacement structure -- Fast inversion algorithms for a class of block structured matrices -- A fast and stable solver for recursively semi-separable systems of linear equations -- Part VI. …”
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Smart antenna engineering by El Zooghby, Ahmed

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