Search Results - computer program (basic OR based) data processing.
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4021Defense acquisitions : assessments of selected weapon programs : report to congressional committees.Published 2009Connect to the full text of this electronic book
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4025Published 2026Table of Contents: “...-- AT for Engineering Applications -- AI-Based Framework for Nutritional Label Processing and Consumer Guidance. -- Communication -- Monitoring and Control System for Treatment of Muscle Tears. -- Computing -- Systematic mapping of tools and platform for microservices deployment. -- Predicting Energy Generation in Ecuador Using Machine Learning. -- e-Learning -- Perception of ChatGPT in university students to solve mathematics exercises. -- Electronics -- Transmission Loss Mitigation and Angular Margins Enhancement via OTS and PV in the IEEE 62-Bus Benchmark. -- Selective Radiofrequency Hyperthermia System for Gastric Cancer Treatment. -- Technology Trends -- Comparison of metabolic indicators between administrative and operational workers in a company dedicated to the production of cocoa semi-finished products in Ecuador. -- Reviewing recent presidential election strategies in Ecuador: A systematic approach. -- Cryptocurrency Ranking Using Social Network Analysis. -- Optimization of corn cultivation using climate prediction and nonlinear programming. -- Mobile Application for Identification and Information of Medications for the Visually Impaired by OCR and Generative AI. -- Impact of prolonged screen use on the onset of Computer Vision Syndrome in administrative workers at a regional coordination office in Ecuador. -- Deep Learning Model for Short-Term Electricity Load Forecasting Based on SARIMA-LSTM Model with Data from Ecuador's National Interconnected System. -- Bibliometric Analysis of Scientific Production on Multicriteria Decision-Making (MCDM) Methods. -- Intelligent Systems -- Optimization of a machine learning model for disease detection in banana leaves using SVD. -- XCEPTION -BASED DEEP LEARNING MODEL FOR AUTOMATIC DETECTION OF COVID-19 IN CHEST X-RAYS. -- Predictive analytics to determine alcohol consumption at events between two cities by implementing a Data Pipeline feeding an LSTM model. -- Model for predicting dengue fever using machine learning in an Ecuadorian context. -- Framework for Implementing LLMS for Software Quality. -- Data Mining Algorithms Analysis for Species Conservation in the Galapagos Islands. -- Prediction Model for Academic Burnout using Machine Learning in University Students. -- Quantum and HPC-Aware Point Cloud Processing: A Semantic Segmentation Framework with Adaptive Attention. -- Identity-Based Key-Insulated Multi-Copy Provable Data Possession Scheme for Secure Multi-Cloud Storage. -- Dynamic Incremental Inverse Cloud Transformation for Uncertainty Modelling in Cloud Networking and Communication....”
Conference Proceeding eBook -
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4027Table of Contents: “...Preface xiii -- Acknowledgments xvii -- Acronyms xix -- Part I Introduction 1 -- 1 Internet of Things-Enabled Systems and Infrastructure 3 -- 1.1 Cyber-Physical Realm of IoT 3 -- 1.2 IoT in Mission-Critical Applications 4 -- 1.3 Overview of the Book 4 -- 1.3.1 Main Topics 5 -- 1.3.1.1 Dynamic Reservation ofWireless Spectrum Resources 5 -- 1.3.1.2 Dynamic Cross-Layer Connectivity Using Aerial Networks 5 -- 1.3.1.3 Dynamic Processes Over Multiplex Spatial Networks and -- Reconfigurable Design 6 -- 1.3.1.4 Sequential Resource Allocation Under Spatio-Temporal -- Uncertainties 7 -- 1.3.2 Notations 8 -- 2 Resource Management in IoT-Enabled Interdependent -- Infrastructure 9 -- 2.1 System Complexity and Scale 9 -- 2.2 Network Geometry and Dynamics 10 -- 2.3 On-Demand MC-IoT Services and Decision Avenues 11 -- 2.4 Performance Metrics 12 -- 2.5 Overview of Scientific Methodologies 12 -- Trim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06/02/2021 12:07pm Page viii -- _ -- _ _ -- _ -- viii Contents -- Part II Design Challenges in MC-IoT 15 -- 3 Wireless Connectivity Challenges 17 -- 3.1 Spectrum Scarcity and Reservation Based Access 17 -- 3.2 Connectivity in Remote Environments 19 -- 3.3 IoT Networks in Adversarial Environments 22 -- 4 Resource and Service Provisioning Challenges 25 -- 4.1 Efficient Allocation of Cloud Computing Resources 25 -- 4.2 Dynamic Pricing in the Cloud 27 -- 4.3 Spatio-Temporal Urban Service Provisioning 31 -- Part III Wireless Connectivity Mechanisms for MC-IoT 35 -- 5 Reservation-Based Spectrum Access Contracts 37 -- 5.1 Reservation of Time-Frequency Blocks in the Spectrum 37 -- 5.1.1 Network Model 38 -- 5.1.2 Utility of Spectrum Reservation 39 -- 5.2 Dynamic Contract Formulation 39 -- 5.2.1 Objective of Network Operator 40 -- 5.2.2 Spectrum Reservation Contract 40 -- 5.2.2.1 Operator Profitability 40 -- 5.2.2.2 IC and IR Constraints 41 -- 5.2.3 Optimal Contracting Problem 41 -- 5.2.4 Solution to the Optimization Problem 42 -- 5.3 Mission-Oriented Pricing and Refund Policies 44 -- 5.4 Summary and Conclusion 47 -- 6 Resilient Connectivity of IoT Using Aerial Networks 49 -- 6.1 Connectivity in the Absence of Backhaul Networks 49 -- 6.2 Aerial Base Station Modeling 50 -- 6.3 Dynamic Coverage and ConnectivityMechanism 52 -- 6.3.1 MAP-MSD Matching 53 -- 6.3.2 MAP Dynamics and Objective 54 -- 6.3.3 Controller Design 55 -- 6.3.3.1 Attractive and Repulsive Function 55 -- 6.3.3.2 Velocity Consensus Function 56 -- 6.3.4 Individual Goal Function 56 -- 6.3.5 Cluster Centers 57 -- 6.4 Performance Evaluation and Simulation Results 58 -- 6.4.1 Results and Discussion 59 -- 6.4.1.1 Simulation Parameters 59 -- Trim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06/02/2021 12:07pm Page ix -- _ -- _ _ -- _ -- Contents ix -- 6.4.1.2 Resilience 61 -- 6.4.1.3 Comparison 64 -- 6.5 Summary and Conclusion 68 -- Part IV Secure Network DesignMechanisms 69 -- 7 Wireless IoT Network Design in Adversarial -- Environments 71 -- 7.1 Adversarial Network Scenarios 71 -- 7.2 Modeling Device Capabilities and Network Heterogeneity 71 -- 7.2.1 Network Geometry 72 -- 7.2.2 Network Connectivity 73 -- 7.2.2.1 Intra-layer Connectivity 73 -- 7.2.2.2 Network-wide Connectivity 74 -- 7.3 Information Dissemination Under Attacks 76 -- 7.3.1 Information Dynamics 77 -- 7.3.1.1 Single Message Propagation 78 -- 7.3.1.2 MultipleMessage Propagation 79 -- 7.3.2 Steady State Analysis 80 -- 7.4 Mission-Specific Network Optimization 81 -- 7.4.1 Equilibrium Solution 81 -- 7.4.2 Secure and Reconfigurable Network Design 87 -- 7.5 Simulation Results and Validation 91 -- 7.5.1 Mission Scenarios 92 -- 7.5.1.1 Intelligence 92 -- 7.5.1.2 Encounter Battle 93 -- 7.6 Summary and Conclusion 96 -- 8 Network DefenseMechanisms Against Malware -- Infiltration 97 -- 8.1 Malware Infiltration and Botnets 97 -- 8.1.1 Network Model 97 -- 8.1.2 Threat Model 99 -- 8.2 PropagationModeling and Analysis 101 -- 8.2.1 Modeling of Malware and Information Evolution 101 -- 8.2.2 State Space Representation and Dynamics 102 -- 8.2.3 Analysis of Equilibrium State 104 -- 8.3 Patching Mechanism for Network Defense 109 -- 8.3.1 Simulation Results 115 -- 8.3.2 Simulation and Validation 120 -- 8.4 Summary and Conclusion 124 -- Trim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06/02/2021 12:07pm Page x -- _ -- _ _ -- _ -- x Contents -- Part V Resource ProvisioningMechanisms 125 -- 9 Revenue Maximizing Cloud Resource Allocation 127 -- 9.1 Cloud Service Provider Resource Allocation Problem 127 -- 9.2 Allocation and Pricing Rule 128 -- 9.3 Dynamic Revenue Maximization 129 -- 9.3.1 Adaptive and Resilient Allocation and Pricing Policy 134 -- 9.4 Numerical Results and Discussions 135 -- 9.5 Summary and Conclusion 139 -- 10 Dynamic Pricing of Fog-Enabled MC-IoT Applications 141 -- 10.1 Edge Computing and Delay Modeling 142 -- 10.2 Allocation Efficiency and Quality of Experience 143 -- 10.2.1 Allocation Policy 144 -- 10.2.2 Pricing Policy 145 -- 10.3 Optimal Allocation and Pricing Rules 146 -- 10.3.1 Single VMI Case 146 -- 10.3.2 Multiple VMI Case 149 -- 10.3.3 Expected Revenue 155 -- 10.3.4 Implementation of Dynamic VMI Allocation and -- Pricing 156 -- 10.4 Numerical Experiments and Discussion 158 -- 10.4.1 Experiment Setup 158 -- 10.4.2 Simulation Results 158 -- 10.4.3 Comparison with Other Approaches 160 -- 10.5 Summary and Conclusion 164 -- 11 Resource Provisioning to Spatio-Temporal Urban -- Services 165 -- 11.1 Spatio-TemporalModeling of Urban Service Requests 165 -- 11.1.1 Characterization of Service Requests 166 -- 11.1.2 Utility of Resource Allocation 167 -- 11.1.3 Problem Definition 169 -- 11.2 Optimal Dynamic Allocation Mechanism 169 -- 11.2.1 Dynamic Programming Solution 170 -- 11.2.2 Computation and Implementation 172 -- 11.3 Numerical Results and Discussion 174 -- 11.3.1 Special Cases 174 -- 11.3.1.1 Power Law Utility 174 -- 11.3.1.2 Exponential Utility 176 -- 11.3.2 Performance Evaluation and Comparison 178 -- 11.4 Summary and Conclusions 180 -- Trim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06/02/2021 12:07pm Page xi -- _ -- _ _ -- _ -- Contents xi -- Part VI Conclusion 183 -- 12 Challenges and Opportunities in the IoT Space 185 -- 12.1 Broader Insights and Future Directions 185 -- 12.1.1 Distributed Cross-Layer Intelligence for Mission-Critical IoT -- Services 185 -- 12.1.1.1 Secure and Resilient Networking for Massive IoT Networks 185 -- 12.1.1.2 Autonomic Networked CPS: From Military to Civilian -- Applications 186 -- 12.1.1.3 Strategic Resource Provisioning for Mission-Critical IoT -- Services 187 -- 12.2 Future Research Directions 187 -- 12.2.1 Distributed Learning and Data Fusion for Security and Resilience in -- IoT-Driven Urban Applications 188 -- 12.2.1.1 Data-Driven Learning and Decision-Making for Smart City Service -- Provisioning 188 -- 12.2.1.2 Market Design for On-Demand and Managed IoT-Enabled Urban -- Services 189 -- 12.2.1.3 Proactive Resiliency Planning and Learning for Disaster -- Management in Cities 190 -- 12.2.2 Supply Chain Security and Resilience of IoT 190 -- 12.3 Concluding Remarks 191 -- Bibliography 193 -- Index 207 -- _....”
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4032Published 2021Table of Contents: “...Knowledge Discovery and Pattern Mining -- Fast Mining of Top-k Frequent Balanced Association Rules -- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation -- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases -- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning -- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases -- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets -- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency -- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds -- Artificial Intelligence and Machine Learning -- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing -- Comparison of Consolidation Methods for Predictive Learning of Time Series -- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification -- Understanding the Effects of Mitigation on De-identified Data -- Combining Siamese Network and Correlation Filter for Complementary Object Tracking -- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines -- Explainable Reinforcement Learning with the Tsetlin Machine -- Sematic, Topology, and Ontology Models -- Semantic Technologies towards Missing Values Imputation -- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures -- Automatic Classification for Ontology Generation by Pretrained Language Model -- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion -- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning -- Collaborative Maintenance of EDOAL Alignments in VocBench -- DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms -- Ontology-based Resume Searching System for Job Applicants in Information Technology -- An Approach to Expressing Metamodels' Semantics in a Concept System -- Medical and Health-Related Applications -- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications -- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning -- Deep Forecasting of COVID-19: Canadian Case Study -- COVID-19 Genome Analysis using Alignment-Free Methods -- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images -- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach -- Graphic and Social Network Analysis -- Configuration model of employee competences in a social media team -- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer -- WawPart: Workload-Aware Partitioning of Knowledge Graphs -- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms -- Signal and Bioinformatic Processing -- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts -- Determining 2-Optimality Consensus for DNA structure -- Evolutionary Computation -- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data -- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance -- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches -- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms -- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm -- Attack and Security -- Recent Research on Phishing Detection through Machine Learning Algorithm -- A Transaction Classification Model of Federated Learning -- On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks -- A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications -- Natural Language and Text Processing -- Hierarchical Transformer Encoders for Vietnamese Spelling Correction -- Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets -- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering -- Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese -- Fuzzy Inference and Theory -- The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller -- Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach -- Sensor and Communication Networks -- Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms -- IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning....”
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