Search Results - "Cloud computing"

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    Anti-fragile ICT Systems by Hole, Kjell Jørgen

    Published 2016
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    Artificial intelligence for the internet of health things / by Shankar, K. (Computer science researcher), Perumal, Eswaran, Gupta, Deepak, Ph.D

    Published 2021
    Table of Contents: “…Artificial Intelligence (AI) for IoHT -- an Introduction -- Role of Internet of Things and Cloud Computing Technologies in Healthcare An Optimal Light Weight Cryptography -- SIMON Block -- Cipher for Secure Image Transmission in Wireless Sensor Networks -- An Extensive Overview of Wearable Technologies in Healthcare Sector -- IoHT and Cloud based Disease Diagnosis Model using Particle Swarm Optimization with Artificial Neural Networks -- IoHT Based Improved Grey Optimization with Support Vector Machine for Gastrointestinal Haemorrhage Detection and Diagnosis Model -- An Effective Based Personalized Medicine Recommendation System using Ensemble of Extreme Learning Machine Model -- A Novel Map Reduce-Based Hybrid Decision Tree with TFIDF Algorithm for Public Sentiment Mining of Diabetes Mellitus -- IoHT with Artificial Intelligence based Breast Cancer Diagnosis Model -- Artificial Intelligence with Cloud Based Medical Image Retrieval System using Deep Neural Network -- Internet of Health Things with Cloud based Brain Tumor Detection using Particle Swarm Optimization with Support Vector Machine -- Artificial Intelligence Based Hough Transform with Adaptive Neuro Fuzzy Inference System for Diabetic Retinopathy Classification Model -- An Internet of Health Things (IoHT) based Intelligent Skin Lesion Detection and Classification Model in Dermoscopic Images -- Internet of Health Things based Image Compression Model using Modified Cuckoo Search Algorithm with Vector Quantization -- An Effective Secure Medical Image Transmission using Improved Particle Swarm Optimization and Wavelet Transform -- IoHT with Wearable Devices Based Feature Extraction and Deep Neural Networks Classification Model for Heart Disease Diagnosis.…”
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    Multicriteria decision aid and artificial intelligence links, theory and applications / by Doumpos, Michael

    Published 2013
    Table of Contents: “…s Method 7.5 Discussion 7.6 Conclusion References Part Four Multiobjective Optimization 8 Interactive Approaches Applied to Multiobjective Evolutionary Algorithms 8.1 Introduction 8.1.1 Methods Analyzed in this Chapter 8.2 Basic Concepts and Notation 8.2.1 Multiobjective Optimization Problems 8.2.2 Classical Interactive Methods 8.3 MOEAs Based on Reference Point Methods 8.3.1 A Weighted Distance Metric 8.3.2 Light Beam Search Combined with NSGA-II 8.3.3 Controlling the Accuracy of the Pareto Front Approximation 8.3.4 Light Beam Search Combined with PSO 8.3.5 A Preference Relation Based on a Weighted Distance Metric 8.3.6 The Chebyshev Preference Relation 8.4 MOEAs Based on Value Function Methods 8.4.1 Progressive Approximation of a Value Function 8.4.2 Value Function by Ordinal Regression 8.5 Miscellaneous Methods 8.5.1 Desirability Functions 8.6 Conclusions and Future Work References 9 Generalized DEA and Computational Intelligence in Multiple Criteria Decision Making 9.1 Introduction 9.2 Generalized Data Envelopment Analysis 9.2.1 Basic DEA Models: CCR, BCC and FDH Models 9.2.2 GDEA Model 9.3 Generation of Pareto Optimal Solutions using Generalized DEA and Computational Intelligence 9.3.1 GDEA in Fitness Evaluation 9.3.2 GDEA in Deciding the Parameters of Multi-objective PSO 9.3.3 Expected Improvement for Multi-objective Optimization Using GDEA 9.4 Summary References 10 Fuzzy Multiobjective Optimization 10.1 Introduction 10.2 Solution Concepts for Multiobjective Programming 10.3 Interactive Multiobjective Linear Programming 10.4 Fuzzy Multiobjective Linear Programming 10.5 Interactive Fuzzy Multiobjective Linear Programming 10.6 Interactive Fuzzy Multiobjective Linear Programming with Fuzzy Parameters 10.7 Interactive Fuzzy Stochastic Multiobjective Linear Programming 10.8 Related Works and Applications References Part Five Applications in Management and Engineering 11 MCDA & Agents: Supporting Effective Resource Federation in Virtual Organizations 11.1 Introduction 11.2 The Intuition of Multiple Criteria Decision Aid in Multi-agent Systems 11.3 Resource Federation Applied 11.3.1 Describing the Problem in a Cloud Computing Context 11.3.2 Problem Modeling 11.3.3 Assessing Agents' Value Function for Resource Federation 11.4 An Illustrative Example 11.5 Conclusions References 12 Fuzzy AHP Using Type II Fuzzy Sets: An Application to Warehouse Location Selection 12.1 Introduction 12.2 Multicriteria Selection 12.2.1 The ELECTRE (Élimination Et Choix Traduisant la Realite) Method 12.2.2 PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) 12.2.3 TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) 12.2.4 The WSM (Weighted Sum Model) Method 12.2.5 MAUT (Multi-attribute Utility Theory) 12.2.6 AHP (Analytic Hierarchy Process) 12.3 Literature Review on Fuzzy AHP 12.4 Buckley's Type-1 Fuzzy AHP 12.5 Type-2 Fuzzy Sets 12.6 Type-2 Fuzzy AHP 12.7 An Application: Warehouse Location Selection 12.8 Conclusion References 13 Applying Genetic Algorithms to Optimize Energy Efficiency in Buildings 13.1 Introduction 13.2 State-of-the-Art Review 13.3 An Example Case Study 13.3.1 Basic Principles and Problem Definition 13.3.2 Decision Variables 13.3.3 Decision Criteria 13.3.4 Decision Model 13.4 Development and Application of a Genetic Algorithm for the Example Case Study 13.4.1 Development of the Genetic Algorithm 13.4.2 Application of the Genetic Algorithm, Analysis of Results and Discussion 13.5 Conclusions References 14 Nature-Inspired Intelligence for Pareto Optimality Analysis in Portfolio Optimization 14.1 Introduction 14.2 Literature Review 14.3 Methodological Issues 14.4 Pareto Optimal Sets in Portfolio Optimization 14.4.1 Pareto Efficiency 14.4.2 Mathematical Formulation of the Portfolio Optimization Problem 14.5 Computational Results 14.5.1 Experimental Setup 14.5.2 Efficient Frontier 14.6 Conclusion References Index.…”
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