Search Results - (((((((ant OR kkantis) OR mantis) OR hints) OR cantor) OR anne) OR file) OR wanting) algorithms.

Handbook of safety principles

Table of Contents: “…Success or Failure / Ann Enander -- 30.8. Relations to Other Safety Principles / Ann Enander -- References / Ann Enander -- Further Reading / Ann Enander -- 31. …”
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Handbook of modeling high-frequency data in finance

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Advanced automation techniques in adaptive material processing

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Sense and Avoid in UAS : Research and Applications. by Angelov, Plamen

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Medical and Care Compunetics 2 : Medical and Care Compunetics 2. by Bos, L.

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Smooth particle applied mechanics : the state of the art by Hoover, William G. (William Graham), 1936-

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Practical statistics for astronomers by Wall, J. V.

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Atlas of head and neck robotic surgery

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Hands-On Deep Learning with TensorFlow. by Boxel, Dan Van

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Computational methods for physics by Franklin, Joel, 1975-

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Asymptotic models of fields in dilute and densely packed composites by Movchan, A. B. (Alexander B.)

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Chaos : from simple models to complex systems by Cencini, Massimo

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From complexity in the natural sciences to complexity in operation management systems by Briffaut, Jean-Pierre

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Hybrid systems, optimal control and hybrid vehicles : theory, methods and applications by Böhme, Thomas J., Frank, Benjamin

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Data analysis with R : load, wrangle, and analyze your data using the world's most powerful statistical programming language by Fischetti, Tony

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Artificial intelligence and data mining approaches in security frameworks

Table of Contents: “…87 -- 5.1.2 Purpose of Spamming 88 -- 5.1.3 Spam Filters Inputs and Outputs 88 -- 5.2 Content-Based Spam Filtering Techniques 89 -- 5.2.1 Previous Likeness–Based Filters 89 -- 5.2.2 Case-Based Reasoning Filters 89 -- 5.2.3 Ontology-Based E-Mail Filters 90 -- 5.2.4 Machine-Learning Models 90 -- 5.2.4.1 Supervised Learning 90 -- 5.2.4.2 Unsupervised Learning 90 -- 5.2.4.3 Reinforcement Learning 91 -- 5.3 Machine Learning–Based Filtering 91 -- 5.3.1 Linear Classifiers 91 -- 5.3.2 Naïve Bayes Filtering 92 -- 5.3.3 Support Vector Machines 94 -- 5.3.4 Neural Networks and Fuzzy Logics–Based Filtering 94 -- 5.4 Performance Analysis 97 -- 5.5 Conclusion 97 -- References 98 -- 6 Artificial Intelligence in the Cyber Security Environment 101 Jaya Jain -- 6.1 Introduction 102 -- 6.2 Digital Protection and Security Correspondences Arrangements 104 -- 6.2.1 Operation Safety and Event Response 105 -- 6.2.2 AI2 105 -- 6.2.2.1 CylanceProtect 105 -- 6.3 Black Tracking 106 -- 6.3.1 Web Security 107 -- 6.3.1.1 Amazon Macie 108 -- 6.4 Spark Cognition Deep Military 110 -- 6.5 The Process of Detecting Threats 111 -- 6.6 Vectra Cognito Networks 112 -- 6.7 Conclusion 115 -- References 115 -- 7 Privacy in Multi-Tenancy Frameworks Using AI 119 Shweta Solanki -- 7.1 Introduction 119 -- 7.2 Framework of Multi-Tenancy 120 -- 7.3 Privacy and Security in Multi-Tenant Base System Using AI 122 -- 7.4 Related Work 125 -- 7.5 Conclusion 125 -- References 126 -- 8 Biometric Facial Detection and Recognition Based on ILPB and SVM 129 Shubhi Srivastava, Ankit Kumar and Shiv Prakash -- 8.1 Introduction 129 -- 8.1.1 Biometric 131 -- 8.1.2 Categories of Biometric 131 -- 8.1.2.1 Advantages of Biometric 132 -- 8.1.3 Significance and Scope 132 -- 8.1.4 Biometric Face Recognition 132 -- 8.1.5 Related Work 136 -- 8.1.6 Main Contribution 136 -- 8.1.7 Novelty Discussion 137 -- 8.2 The Proposed Methodolgy 139 -- 8.2.1 Face Detection Using Haar Algorithm 139 -- 8.2.2 Feature Extraction Using ILBP 141 -- 8.2.3 Dataset 143 -- 8.2.4 Classification Using SVM 143 -- 8.3 Experimental Results 145 -- 8.3.1 Face Detection 146 -- 8.3.2 Feature Extraction 146 -- 8.3.3 Recognize Face Image 147 -- 8.4 Conclusion 151 -- References 152 -- 9 Intelligent Robot for Automatic Detection of Defects in Pre-Stressed Multi-Strand Wires and Medical Gas Pipe Line System Using ANN and IoT 155 S K Rajesh Kanna, O. …”
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Advanced mathematical & computational tools in metrology & testing VIII

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Big Data Analytics with R. by Walkowiak, Simon

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python : A Beginner's Guide to Advanced Data Analysis. by Denis, Daniel J.

Table of Contents: “…Discriminant Analysis -- 12.2 How Cluster Analysis Defines "Proximity" -- 12.2.1 Euclidean Distance -- 12.3 K-Means Clustering Algorithm -- 12.4 To Standardize or Not? -- 12.5 Cluster Analysis in Python -- 12.6 Hierarchical Clustering -- 12.7 Hierarchical Clustering in Python -- Review Exercises -- References -- Index -- EULA.…”
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The illustrated network : how TCP/IP works in a modern network by Goralski, Walter

Table of Contents: “…Port Numbers -- Well-Known Ports -- The Socket -- UDP Operation -- UDP Overflows -- Questions for Readers -- 12 Transmission Control Protocol -- TCP and Connections -- The TCP Header -- TCP Mechanisms -- Connections and the Three-Way Handshake -- Connection Establishment -- Data Transfer -- Closing the Connection -- Flow Control -- TCP Windows -- Flow Control and Congestion Control -- Performance Algorithms -- TCP Behaving Badly? -- TCP and FTP -- Questions for Readers -- 13 Multiplexing and Sockets -- Layers and Applications -- The Socket Interface -- Socket Libraries -- TCP Stream Service Calls -- The Socket Interface: Good or Bad? …”
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