Search Results - (((((((ken OR wantin) OR span) OR panting) OR cantor) OR anne) OR carter) OR wansing) algorithms.

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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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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Computational Systems Bioinformatics (Volume 6) : Proceedings of the CSB 2007 Conference. by Markstein, Peter

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Discrete Mathematics for Computer Science : An Example-Based Introduction. by Fortney, Jon Pierre

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- CHAPTER 1: Introduction to Algorithms -- 1.1. WHAT ARE ALGORITHMS? -- 1.2. CONTROL STRUCTURES -- 1.3. …”
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Computational Systems Bioinformatics - Proceedings Of The Conference Csb 2006. by Xu, Ying

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Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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Focus on artificial neural networks

Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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Optimization techniques and applications with examples by Yang, Xin-She

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Regularization and Bayesian methods for inverse problems in signal and image processing

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Industrial control systems

Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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Fundamentals of Matrix Analysis with Applications. by Saff, Edward Barry

Table of Contents: “…Fixed-Point Methods -- PART II INTRODUCTION: THE STRUCTURE OF GENERAL SOLUTIONS TO LINEAR ALGEBRAIC EQUATIONS -- Chapter 3 Vector Spaces -- 3.1 General Spaces, Subspaces, and Spans -- 3.2 Linear Dependence -- 3.3 Bases, Dimension, and Rank -- 3.4 Summary -- Chapter 4 Orthogonality -- 4.1 Orthogonal Vectors and the Gram-Schmidt Algorithm -- 4.2 Orthogonal Matrices -- 4.3 Least Squares -- 4.4 Function Spaces…”
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Media Backends : Digital Infrastructures and Sociotechnical Relations. by Parks, Lisa

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Computational ecology : graphs, networks and agent-based modeling by Zhang, Wenjun

Table of Contents: “…Trees and planar graphs -- 5. Algorithms of graphs -- 6. Directed graphs -- Part II. …”
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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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Principles of data integration by Doan, AnHai

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Generalized Network Design Problems : Modeling and Optimization. by Pop, Petrică C.

Table of Contents: “…Preface; 1 Introduction; 1.1 Combinatorial optimization and integer programming; 1.2 Complexity theory; 1.3 Heuristic and relaxation methods; 1.4 Generalized network design problems; 2 The Generalized Minimum Spanning Tree Problem (GMSTP); 2.1 Definition and complexity of the GMSTP; 2.2 An exact algorithm for the GMSTP; 2.3 Mathematical models of the GMSTP; 2.3.1 Formulations based on tree properties; 2.3.2 Formulations based on arborescence properties; 2.3.3 Flow based formulations; 2.3.4 A model based on Steiner tree properties; 2.3.5 Local-global formulation of the GMSTP.…”
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Topographical Tools for Filtering and Segmentation 2 : Flooding and Marker-Based Segmentation on Node- or Edge-weighted Graphs. by Meyer, Fernand

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Anaphora Resolution. by Mitkov, Ruslan

Table of Contents: “…4.1 Early work in anaphora resolution4.2 Student; 4.3 Shrdlu; 4.4 Lunar; 4.5 Hobbs's naïve approach; 4.5.1 The algorithm; 4.5.2 Evaluation of Hobbs' s algorithm; 4.6 The BFP algorithm; 4.7 Carter's shallow processing approach; 4.8 Rich and LuperFoy's distributed architecture; 4.9 Carbonell and Brown's multi-strategy approach; 4.10 Other work; 4.11 Summary; Chapter Five: The present: knowledge-poor and corpus-based approaches in the 1990s and beyond; 5.1 Main trends in recent anaphora resolution research; 5.2 Collocation patterns-based approach; 5.3 Lappin and Leass's algorithm; 5.3.1 Overview.…”
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Optical networks and components : fundamentals and advances. Volume II, Advances in optical networks and components by Sahu, Partha Pratim (Writer on optical networks)

Table of Contents: “…3.2.4 Analysis of ILP -- 3.3 Routing -- 3.3.1 Routing Algorithms -- 3.3.1.1 Dijkstra's Algorithm -- 3.3.1.2 Bellman-Ford Algorithm -- 3.3.2 Routing Approaches -- 3.3.2.1 Fixed Routing -- 3.3.2.2 Fixed-Alternate Routing -- 3.3.2.3 Flooding -- 3.3.2.4 Adaptive Routing -- 3.3.2.5 Fault-Tolerant Routing -- 3.3.2.6 Randomized Routing -- 3.4 WA Subproblem (Heuristics) -- 3.4.1 Wavelength Search Algorithm -- 3.4.1.1 Exhaustive Search -- 3.4.1.2 Tabu Search -- 3.4.1.3 Simulated Annealing -- 3.4.1.4 Genetic Algorithms -- 3.4.2 WA Heuristics -- 3.4.2.1 Random WA (R) -- 3.4.2.2 First-Fit (FF) Approach…”
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