Search Results - (((((((ant OR santis) OR wants) OR markant) OR cantor) OR anne) OR share) OR hints) algorithms.

  1. 361
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    Hands-On Deep Learning with TensorFlow. by Boxel, Dan Van

    Published 2017
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  4. 364
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    Handbook of safety principles

    Published 2018
    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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  7. 367
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    Network Performance Analysis. by Bonald, Thomas

    Published 2013
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  9. 369

    Machine learning and cognitive computing for mobile communications and wireless networks

    Published 2020
    Table of Contents: “…KNN and SVM Models for Wireless 60 3.4.2 Bayesian Learning for Cognitive Radio 60 3.4.3 Deep Learning in Wireless Network 61 3.4.4 Deep Reinforcement Learning in Wireless Network 62 3.4.5 Traffic Engineering and Routing 63 3.4.6 Resource Sharing and Scheduling 64 3.4.7 Power Control and Data Collection 64 3.5 Conclusion 65 References 66 4 Cognitive Computing for Smart Communication 73; Poonam Sharma,…”
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  10. 370

    XML for DB2 information integration

    Published 2004
    Table of Contents: “…-- 3.4 Creating an XML schema from a database schema -- 3.4.1 The algorithm.…”
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  11. 371

    Danforth's obstetrics and gynecology.

    Published 2008
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  12. 372

    IBM TotalStorage : SAN product, design, and optimization guide

    Published 2005
    Table of Contents: “…-- 1.1.2 The Internet brings increased risks -- 1.1.3 Planning for business continuity -- 1.2 Using a SAN for business continuance -- 1.2.1 SANs and business continuance -- 1.3 SAN business benefits -- 1.3.1 Storage consolidation and sharing of resources -- 1.3.2 Data sharing -- 1.3.3 Nondisruptive scalability for growth -- 1.3.4 Improved backup and recovery -- 1.3.5 High performance -- 1.3.6 High availability server clustering -- 1.3.7 Improved disaster tolerance -- 1.3.8 Allow selection of best of breed storage -- 1.3.9 Ease of data migration -- 1.3.10 Reduced total costs of ownership -- 1.3.11 Storage resources match e-business enterprise needs -- Chapter 2. …”
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  13. 373

    Mobile phones : technology, networks, and user issues

    Published 2011
    Table of Contents: “…Seamless Sensor Fusion -- 4.1. Particle Filter Algorithm -- 4.2. Motion Model -- 4.3. Measurement Model -- 4.4. …”
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    Artificial intelligence and data mining approaches in security frameworks

    Published 2021
    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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    Android Sensor Programming By Example. by Nagpal, Varun

    Published 2016
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  19. 379

    Mastering D3.js. by Castillo, Pablo Navarro

    Published 2014
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  20. 380

    Informatics for Health by Randell, R.

    Published 2017
    Table of Contents: “…Connected and Digital Health -- Design and Validation of a Platform to Evaluate mHealth Apps -- Reasoning and Data Representation in a Health and Lifestyle Support System -- Feasibility of Representing a Danish Microbiology Model Using FHIR -- Establishment of Requirements and Methodology for the Development and Implementation of GreyMatters, a Memory Clinic Information System -- Nurses' Perspectives on In-Home Monitoring of Elderlies's Motion Pattern -- Monitoring Activities Related to Medication Adherence in Ambient Assisted Living Environments -- Design, Implementation and Operation of a Reading Center Platform for Clinical Studies -- Web Validation Service for Ensuring Adherence to the DICOM Standard -- A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods -- Severity Summarization and Just in Time Alert Computation in mHealth Monitoring -- Towards Safe and Efficient Child Primary Care -- Gaps in the Use of Unique Identifiers in Europe -- Why Are Children's Interests Invisible in European National E-Health Strategies? -- Shared Decision Making via Personal Health Record Technology for Routine Use of Diabetic Youth: A Study Protocol -- A Medication Reminder Mobile App: Does It Work for Different Age Ranges -- Internet of Things in Health Trends Through Bibliometrics and Text Mining -- Developing the Safety Case for MediPi: An Open-Source Platform for Self Management -- UK Health and Social Care Case Studies: Iterative Technology Development -- 2. …”
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