دانلود کتاب Intelligent Systems and Applications: Proceedings of the 2022 Intelligent Systems Conference (IntelliSys) Volume 2 (Lecture Notes in Networks and Systems, 543)

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Editor’s Preface
Contents
ANNExR: Efficient Anytime Inference in DNNs via Adaptive Intermediate Decision Points
1 Introduction
2 Literature Review
3 Methodology
3.1 Proposed Solution
3.2 Adaptive Exit Rendering Mechanism
4 Results
4.1 Experimental Setup
4.2 Dataset
4.3 Experimental Results
5 Challenges and Future Trends
6 Conclusion
References
Towards Data Science for Cybersecurity: Machine Learning Advances as Glowing Perspective
1 Introduction
2 Cybersecurity Data Science (CDS)
3 Machine Learning in Cybersecurity
4 Research Challenges and Issues
5 The Proposed Machine Learning Framework for Cybersecurity
6 Discussion
7 Conclusion
References
A Self-learning Musical Tool to Support the Educational Activity
1 Introduction
2 Review of Relevant Works
3 The Musical Grammar Rules
4 Formalization of Musical Grammar Rules
4.1 The Musical Interval
4.2 Error Detection
5 Obtained Results
6 Discussion and Conclusions
Appendix A
References
Tactile Sensing of the Rigid-Soft Electromagnetic Feet of the iCrawl Robot for Pipe Size Classification
1 Introduction
2 Materials and Methods
2.1 iCrawl Robot and Its Locomotion Control
2.2 Rigid-Soft Electromagnetic Feet
2.3 Working Principle of Tactile Sensors
2.4 Position Placement and Quantity Criteria of FSRs
2.5 Fabrication of the Soft Toe with Embedded FSRs
2.6 Experimental Setup
2.7 Post-processing of Tactile Sensory Feedback
3 Experimental Results and Discussion
4 Conclusion
References
An Intelligent Hybrid Cloud-Based ANP and AI Model for Development Site Selection
1 Introduction
2 Related Work
2.1 Cloud-Based Platform
2.2 Determinants of Property Site Selection
2.3 Current Model-Driven Real Estate Appraisal Approach
2.4 Integrated Property Site Selection Platform
3 Methodology
3.1 Proposed Cloud-Based Property Site Selection Platform
3.2 Implementation of the Site Selection
4 Results and Discussion
4.1 Determinant Analysis
4.2 Comparative Analysis
4.3 Integrated Application Analysis
5 Conclusion and Future Work
Appendix
References
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq Model
1 Introduction
2 Related Work
3 Methodology
3.1 Latent Transformed Encoder-Decoder Model
3.2 Gaussian Mixture Model on Transformed Latent Space
3.3 Multi-filter Decoding
4 Experiments and Results
4.1 Semantic Parsing in Geo-Query
4.2 Machine Translation
5 Discussion and Future Direction
5.1 Future Research
6 Conclusion
References
Evaluation on Integrating Relocation and User Flexibility in Large-Scale One-Way Electric Carsharing Systems
1 Introduction
2 The Carsharing Operation Problem
2.1 The Time-Space Network
2.2 The Optimization Model
3 The Solution Algorithm
3.1 Function GreedySol
3.2 Function LocalSearch
3.3 Function RandomSol
4 Computational Examples
4.1 Data Generation
4.2 Computational Results
5 Conclusion
References
.26em plus .1em minus .1emA Dynamic Emotion Recognition System Based on Convolutional Feature Extraction and Recurrent Neural Network
1 Introduction
2 Related Work
2.1 Convolutional Neural Network Based Methods
2.2 CNN-RNN
2.3 Context-Aware Emotion Recognition Networks
3 Continuous Emotion Recognition Labelling
3.1 Dataset
3.2 Continuous Emotion Labelling
4 CNN-RNN Emotion Recognition System
4.1 CNN
4.2 RNN
4.3 Loss Function
4.4 PN Accuracy
4.5 System Configuration
5 Results and Analysis
5.1 Model Evaluation
5.2 Comparison with Related Works
5.3 Output Visualisation
6 Conclusions
References
Boundary-Based Fake Face Anomaly Detection in Videos Using Recurrent Neural Networks
1 Introduction
2 Related Works
2.1 Deepfake: Virtue and Evil
2.2 Deepfake: Detection
3 Problem Statement
3.1 Deepfake Creation
4 Proposed Method
4.1 Stage I: Video Processing
4.2 Stage II: Deepfake Creation
4.3 Stage III: Deepfake Detection
5 Results
6 Discussions
6.1 Dataset Description
6.2 Configuration
6.3 Result Analysis
7 Conclusion
References
Survey on the Convergence of Machine Learning and Blockchain
1 Introduction
2 Background
2.1 Brief Introduction to Machine Learning
2.2 Brief Introduction to Blockchain
3 Applications and Innovations
3.1 Protocol that Incentivizes Data Sharing
3.2 Marketplace that Encourages Model Sharing
4 Limitations and Future Research Directions
4.1 Incentive Mechanisms
4.2 Privacy
4.3 Cost Control
4.4 Complex Models
5 Conclusions
References
Behavioral Model for a Computer Vision System
1 Introduction
2 State of the Art
3 Behavioral Model for Activity Approximation
4 Solution for a Computer Vision System
5 Museum Monitoring Application
6 Conclusion
References
Understanding Recommendation Intention and Continuance Intention of Smart Attendance Management Applications
1 Introduction
2 Literature Review
3 Research Model and Hypotheses
3.1 Continuance Intention
3.2 Perceived Ease of Use
3.3 User Satisfaction
3.4 Perceived Usefulness
3.5 System Quality
3.6 Information Quality
3.7 Innovativeness
4 Research Methodology
4.1 Instrument Development
4.2 Sample
5 Research Results
5.1 Measurement Model
5.2 Structural Model
6 Conclusion
6.1 Theoretical and Practical Implications
6.2 Limitations and Future Works
Appendix A. List of Measurement Items
References
Combining Edge Recombination Crossover with Ant Colony Optimisation for Improved Routing
1 Introduction
2 Background and Related Work
2.1 Genetic Algorithms Applied to the TSP
2.2 Ant Colony Optimisation Applied to the TSP
2.3 Combining ACO and GAs
3 Integrating ACO into Edge Recombination Crossover
3.1 Partial-ACO
3.2 Embedding Partial-ACO into the ER Crossover Operator
3.3 Initial Results
4 Improving Ant-Based Edge Recombination Crossover
4.1 Increasing the Occurrence of Edge Failures
5 Conclusions
References
Towards Augmented Reality Interactions Driven by Universal Dynamic Procedural Browser Actions in the 4.0 Contexts
1 Introduction
2 Framework
3 Ontology
4 Discussions
5 Results
5.1 Obtaining Basic Recipe Information
5.2 Recipe Steps Search
6 Conclusions and Future Lines of Research
References
Object Tracking with a Fusion of Event-Based Camera and Frame-Based Camera
1 Introduction
1.1 Literature Review
1.2 Our Contributions
2 Basic Concepts and Algorithm Overview
3 Object Detection
3.1 Optical Flow for the Event Camera
3.2 Clustering Algorithm
4 Multi-object Tracking
4.1 Fusion Strategy
4.2 PMBM Filter
5 Experiment
5.1 Optical Flow
5.2 Detection Rate
5.3 Multi-object Tracking Performance
6 Conclusion
References
Analysis on the Importance of Securing Data to Prevent Political Polarization
1 Introduction
1.1 Literature Review
2 Data Collection
2.1 Discussion
3 Conclusion
References
How Do Thermography Colors Influence Breast Cancer Diagnosis? A Hybrid Model of Convolutional Networks with a Weighted Average Evolutionary Algorithm
1 Introduction
2 Background
3 Materials and Methods
3.1 Thermography Dataset
3.2 A Hybrid Model Using Convolutional Neural Networks and a Weighted Average Algorithm
4 Results
4.1 Data Scrapping and Preprocessing
4.2 A Hybrid Model to Classify Thermographies and Weight Their Color Channels
5 Conclusions and Future Works
References
Model and Evaluation of a Centralized Non-recurrent Queue Management System for Road Events
1 Introduction
2 System Development
2.1 Cooperative Non-recurrent Queue Management System
2.2 Centralized Lane Changing Assistant System
2.3 Centralized NRQM System
3 Simulation Evaluation of the C-NRQM System
4 Sensitivity Analysis
4.1 Sensitivity Analysis of MPRs
4.2 Impact of Demand Levels
5 Conclusion
References
Financial Stress in China and International Spillover
1 Introduction
2 Methodology and Data
2.1 Measuring Financial Stress
2.2 Spillover of Financial Stress
2.3 Data Description
3 Results and Discussion
3.1 Measuring Financial Stress
3.2 International Transmission
4 Conclusion
References
A New Entrapment Based Invader Capture Strategy for Multi-robot Surveillance Systems
1 Introduction
2 Related Work
3 An Entrapment Based Invader Capture Strategy
4 Simulation
5 Conclusions
References
Consumer Food Demand Shifts in the COVID-19 Pandemic: An Empirical Study Based on Retail Sales Data
1 Introduction
2 Data
3 Methods
4 Empirical Results and Discussion
4.1 Demand Shifts Between Products
4.2 Temporal Effect of Demand Shifts
4.3 Consumer Shopping Channel Shift
5 Conclusion and Future Work
References
An Ontology-Based Ambient Intelligence Framework for Ageing Workforce
1 Introduction
2 Related Work
2.1 AmI in Workplaces: From Ad Hoc Adaptation to Workplace Intelligence
2.2 Examples of AmI in Workplaces
3 Our System Proposal
3.1 A Less Invasive and Knowledge-Based AAW System
3.2 Framework Architecture
3.3 Ontology Layer
3.4 Sensors and Actuators
4 Scenarios for Our System
4.1 First Scenario: Sartorial Posts for Garments Finishing
4.2 Second Scenario: Office in the Production Department of a Sheet-Metal Forming Factory
4.3 Preliminary Validation
5 Discussion
6 Conclusions
References
Proxymix: Influence of Spatial Configuration on Human Collaboration Through Agent-Based Visualization
1 Introduction
2 Methodology: Coupling Spaces and Behavior
3 Results: Comparing Ground Truth and Simulated Graphs
4 Conclusion
References
A Song Can Do That: An Emotion Induction Study for the Development of Intelligent Emotion-Aware Systems
1 Introduction
2 Background and Motivations
2.1 Emotion Induction Methods
2.2 Modeling and Measuring Emotions
2.3 Focusing on Automotive Studies
3 Experimental Design of the Playlist Assessment Study
3.1 Materials
3.2 The Playlist Emotion Assessment Questionnaire
3.3 Procedure
4 Results
5 Conclusions and Future Work
References
A Deep Learning Framework to Optimize Underground Wireless Sensors Network Performance in Oil and Gas Reservoirs Environment
1 Introduction
2 FracBots System
2.1 FracBot Architecture
2.2 Network Architecture
3 Real-Time Intelligent Sensor Selection
3.1 Method
3.2 Results
4 Conclusion
References
A Recommendation System Based on Big Data: Separation of Preference and Similarity
1 Introduction
2 Literature Review
3 Recommendation System
4 Experimental Results
5 Conclusion and Future Work
References
Design and Validation of an Exoskeleton for Hand Rehabilitation in Adult Patients with Rheumatoid Arthritis
1 Introduction
2 Methodology
3 Results
3.1 System Modules
3.2 Construction del ARTH-aid System Exo Glove
4 Conclusions
References
Using Segmentation to Improve Machine Learning Performance in Human-in-the-Loop Systems
1 Introduction
2 Human-in-the-Loop: Towards Interactive AI
3 Proposed Approach
4 Methodology
5 Results
6 Conclusions
References
Contactless Camera-Based Approach for Driver Respiratory Rate Estimation in Vehicle Cabin
1 Introduction
2 Related Work
3 Method
3.1 Detecting the Chest Point Using Openpose
3.2 Calculating the Absolute Chest Point Displacements Using Selflow
3.3 Signal Cleaning and Breathing Rate Calculation
4 Dataset
5 Experiments and Evaluation
6 Conclusion
References
Autonomous Electric Vehicle Battery Disassembly Based on NeuroSymbolic Computing
1 Introduction
2 State of the Art
2.1 Battery Disassembly
2.2 NeuroSymbolic Computing and Battery Disassembly
3 Problem Definition
3.1 Disassembly Tasks
3.2 Formulation of the Disassembly Task
4 NeuroSymbolic TAMP
4.1 Neural Predicates
4.2 Disassembly Primitives
4.3 Disassembly Planning
5 Test Results
5.1 Test Configurations
5.2 Autonomous Task Planning
5.3 Tests Results Without Obstacles
5.4 Test Results with Obstacles
6 Summary and Future Work
References
Approximation of Non-Markovian Car Sharing Systems Models by Markovian One
1 Introduction
2 Phase-Type Distributions
3 The First Model Building Approach
4 The Second Model Building Approach
5 Numerical Experiments
5.1 Comparison of Modelling Approaches
5.2 Example with Phase-Type Distribution
5.3 Example with Exponential Distribution
6 Conclusions
References
Distributed H Filtering for Discrete-Time Stochastic System via Interval Matrix Method
1 Introduction
2 Problem Formulation and Preliminaries
3 Main Results
4 Numerical Example
5 Conclusion
References
Zero-Shot Visual Emotion Recognition by Exploiting BERT
1 Introduction
2 Related Works
2.1 Visual Sentiment Analysis
2.2 Zero-Shot Learning
3 Methodology
3.1 Problem Formulation
3.2 Model Learning
3.3 Network Architecture
4 Experiments
4.1 Experimental Settings
4.2 Unseen Emotion Recognition
4.3 Results
5 Conclusion
References
Adaptive Keyword Extraction Service for Turkish
1 Introduction
2 Data
3 Model Architecture
4 Evaluation and Results
5 Conclusions and Future Works
References
NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience
1 Introduction
2 System and Method Description
2.1 System Overview and Architecture
2.2 Application in a Theatrical Play
2.3 Method for Subtitle-Based Synchronization
3 Evaluation
3.1 Method Evaluation
3.2 System Evaluation
4 Results and Discussion
4.1 Subtitles Experiment
4.2 Performance Experiment
5 Conclusions
References
FPGA Implementation of a Custom Floating-Point Library
1 Introduction
2 Proposed Floating-Point Library
2.1 Conversion Between Floating-Point and Fixed-Point
2.2 Floating-Point Adder and Multiplier
2.3 Polynomial Approximation Based Functions
3 Proposed Framework
4 Results and Discussions
4.1 Hardware Acceleration of Floating-Point Software Implementations
5 Conclusions
References
Synthetic Minority with CutMix for Imbalanced Image Classification
1 Introduction
2 Related Works
2.1 Class Re-balancing
2.2 Data Augmentation
2.3 Two-Stage Training
3 Methodology
3.1 Preliminary
3.2 Synthetic Minority with CutMix
4 Experiments
4.1 Datasets and Implementation Details
4.2 Comparisons to Other Methods
4.3 Ablation Studies
5 Conclusion
References
RAVSSNet: Recurrent Audio Visual Speech Separation
1 Introduction and Related Work
2 Proposed System
2.1 Overview
2.2 Audio Encoder
2.3 Video Encoder
2.4 Separator Network
2.5 Decoder
3 Experiments and Results
3.1 Dataset and Training
3.2 Results and Comparisons
4 Limitations
5 Conclusion
References
A Hybrid Predictor for Protein Tertiary Structures
1 Introduction
2 Bibliographic and Theoretical Review
2.1 Amino Acid Residues and Dihedral Angles
2.2 Protein Structure Classification
2.3 Deep Learning for Protein Structure Prediction
3 Materials and Methods
3.1 Target Proteins and ab initio Properties
3.2 Multiobjective Methods
3.3 The Simulating Process
3.4 Deep Learning Model Proposal
4 Results
4.1 Protein 1VII
4.2 Protein 1LE0
4.3 Protein 1FSD
5 Discussion
6 Conclusion
References
Adversarial Attack and Defense Based Hydrangea Classification via Deep Learning: Autoencoder and MobileNet
1 Introduction
1.1 Background
1.2 Objective
2 Literature Review
2.1 Prior Work
2.2 Related Work
3 Materials and Methods
3.1 Data Description
3.2 CNN
3.3 AutoEncoder
3.4 MobileNet
3.5 Proposed Model
4 Result
5 Discussion
5.1 Essential Finding
5.2 Limitation
6 Conclusion
References
Measuring Factors Affecting Non-performing Assets Using Neuro Fuzzy Model
1 Introduction
2 Literature Review
3 Fuzzy Logic
4 Artificial Neural Network
5 Proposed Model
5.1 Loan Portfolio Management (LPM)
5.2 Term Loan (TL)
5.3 Monitory Policies (MP)
5.4 Change in Tax Rates (TR)
5.5 Loan Performances (LP)
6 Artificial Neural Network Implications
7 Results
8 Conclusion
References
Intrusion Detection Systems Using Support Vector Machines on the KDDCUP’99 and NSL-KDD Datasets: A Comprehensive Survey
1 Introduction
2 Background
2.1 Support Vector Machines (SVMs)
2.2 Intrusion Detection Systems (IDS)
3 Datasets Descriptions and Overview
3.1 The KDDCUP’99 Dataset
3.2 The NSL-KDD Dataset
4 Literature Review
4.1 IDS Using SVMs on the KDDCUP’99 Dataset
4.2 IDS Using SVMs on the NSL-KDD Dataset
4.3 IDS Using SVMs on Both the KDDCUP’99 and the NSL-KDD Dataset
5 Critical Analyses of Different Approaches Surveyed
6 Conclusions and Future Works
References
Agent-Based Modeling of the Spatio-temporal Distribution of Sahelian Transhumant Herds
1 Introduction
2 General Description
2.1 Sahelian Transhumance
2.2 Study Area
3 Conceptual Model
3.1 Overview
3.2 Design Concept
3.3 Details
4 Results
4.1 Scenarios
4.2 Conclusion About Results
5 Discussion
6 Conclusion
References
Synthesizing Pokémon Trading Cards Using Nvidia StyleGAN2 from Home
1 Introduction
1.1 Synthesizing Trading Cards
1.2 How Are Images Generated?
2 Methods
2.1 Nvidia StyleGAN2
2.2 Google Colab Pro+
2.3 The Data
3 Results
4 Conclusions and Future Work
References
The Use of Voice Recognition in the Interface of Physical Rehabilitation Applications
1 Introduction
2 Theoretical Framework
2.1 Rehabilitation and Physiotherapy
2.2 Physical Rehabilitation Systems
2.3 Voice Recognition
2.4 Voice Assistants
3 Material and Methods
3.1 Motion Recognition Application
3.2 Android Speech API
3.3 Software Architecture
3.4 Functional Design of the Software
3.5 Software Development
4 Results
5 Conclusions
References
Natural Language Processing and Functioning Ontological Solver with Visualization in an Integrated System
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusion
References
Predicting Interruptions of Medium Voltage Customers Using Fully Connected Networks
1 Introduction
2 Fully Connected Neural Networks
3 Methodology
3.1 Implementation Strategies
4 Results
4.1 Feature Extraction and Selection
4.2 The Baseline Neural Network Implementation
4.3 The Fully Connected Neural Network
4.4 Imbalanced, Balanced Per Weight Class, and Oversampling Training
5 Conclusions and Future Work
References
Lockstepping Conditions of Growth Processes: Some Considerations Towards Their Quantitative and Qualitative Nature from Investigations of the Logistic Curve
1 Introduction
2 Preliminaries
2.1 Uncertainty Contradiction
2.2 Heisenberg\'s Uncertainty Principle
2.3 Computational Uncertainty Considerations
3 Lockstepping Principle
3.1 Logistic Curve
3.2 Lockstepping as Bifurcation
3.3 Paradigmatic Change
4 Summary, Conclusion, Limitations and Outlook
4.1 Summary and Conclusions
4.2 Limitations and Main Findings
4.3 Outlook and Research Applications
References
A Deep Learning Approach to UML Class Diagrams Discovery from Textual Specifications of Software Systems
1 Introduction
2 Background and Related Work
2.1 Automatic Terminology Extraction
2.2 Named Entity Recognition
2.3 Coreference Resolution
2.4 Relation Classification
2.5 Model Discovery
3 Description of Approach
3.1 Overview of Approach
3.2 The Dataset
3.3 Validation of Approach
4 Conclusion and Future Work
References
Hybrid Evolutionary Algorithm for Optimal Control Problem
1 Introduction
2 The Optimal Control Problem with Phase Constraints
3 Evolutionary Algorithms
3.1 Genetic Algorithm
3.2 PSO Algorithm
3.3 GWO Algorithm
3.4 Hybrid Algorithm
4 Computational Experiment
5 Conclusions
References
Quality Assurance for Speech Synthesis with ASR
1 Introduction
2 Related Work
3 Our Approach
3.1 Creation of Synthetic Speech as Validation Data
3.2 Creation of Transcript Predictions from Validation Data
3.3 Error Identification
3.4 Error Classification
3.5 Backtracing of Errors
4 Results
5 Discussion
6 Limitations
7 Conclusion and Outlook
References
Airplane Detection and Classification Based on Mask R-CNN and YOLO with Feature Engineering
1 Introduction
2 Neural Networks for Image Detection: Mask R-CNN and YOLO
2.1 Mask R-CNN
2.2 YOLO
3 Airplane Detection and Classification
3.1 Mask R-CNN
3.2 YOLO
4 Fine Grain Airplane Classification
4.1 Step 2: Obtain Mask
4.2 Step 3: Standardize Mask and Extract Features
4.3 Step 4: Identify the Type/Make of the Aircraft
4.4 Algorithm Performance
5 Conclusion
References
Modular Enumeration Algorithms: Analytical Study and Experimental Verification of Effectiveness
1 Introduction
2 Basic Ideas of Modular Enumeration Algorithms Adaptation
3 Composite Version of Modular Enumeration
4 Experimental Verification
5 Discussion
6 Conclusions
References
Fatigue-Aware Event-Participant Arrangement in Event-Based Social Networks: An Upper Confidence Bound Method
1 Introduction
2 Related Work
2.1 EBSNs
2.2 MAB
3 Problem Statement
3.1 Problem Definition
3.2 User Feedback Behavior
4 Solution
4.1 The Characteristic of Optimal Events
4.2 UCB-Based Approach
4.3 Regret Analysis
5 Experimental Evaluation
5.1 Experiment Setup
5.2 Experiment Results
6 Conclusions and Discussion
References
Human Iris Image Analysis for the Classification of Fuchs’ Crypts and Peripupillary Rings
1 Introduction
2 Related Work
3 Data Preparation
4 Crypt Frequency-Based Iris Classification
4.1 Data Augmentation
4.2 Model Training
4.3 Crypt Detection Model Result
4.4 Crypt Frequency Classification
5 Pigmented Ring-Based Iris Classification
5.1 Feature Extraction
5.2 Model Training
5.3 Eye Classification
6 Conclusions
References
Neural Networks Training on Graphics Processing Unit (GPU) Using Dynamic Parallelism (DP)
1 Purpose and Significance
2 Method of Training Neural Network on GPU with DP
3 Experiments and Results
3.1 Experiment Parameters
3.2 Experiment Results
3.3 Diminishing Speedups with Large Calculations
3.4 Optimal Grid Configurations with Dynamic Parallelism
3.5 Model Accuracy
3.6 Live Demo of Handwritten Digit Recognition
4 Conclusion
References
Generating Algorithmic Patterns from Semi-structured Input Using a Transition-Based Neural Network
1 Introduction
2 Related Work
3 Overview
4 Algorithmic Patterns
4.1 Formalism
4.2 The Algorithmic Patterns
5 Utterance Generation
6 Transition-Based Neural Network
7 Evaluation
7.1 Datasets
7.2 Results
7.3 Discussion
8 Conclusion
References
Bag-of-Words Similarity in eXplainable AI
1 Introduction
1.1 eXplainable AI
1.2 Knowledge Extraction from XAI
1.3 Rule Similarity
1.4 Related Works
1.5 Paper Contributions
1.6 Paper Organization
2 XAI Tools
2.1 Logic Learning Machine
2.2 Feature and Value Ranking
3 Transforming Rules into Vectors
3.1 FS Columns
3.2 Numerical Thresholds Columns
3.3 Categorical Thresholds Columns
4 Similarity Measure
5 Introductory Application Example
6 Collision Prediction in Vehicle Platooning
7 Conclusions and Future Work
References
Plan Deordering with Conditional Effects
1 Introduction
2 Related Work
3 Planning with Conditional Effects
4 Planning Task in SAS+ Representation
5 Plan Deordering
6 Plan Deordering with Conditional Effects
7 Experimental Result and Discussion
8 Conclusion
References
Author Index