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Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques : Proceedings of the 19th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_20).
- Format:
- Book
- Author/Creator:
- Fujita, Hamido
- Series:
- Frontiers in Artificial Intelligence and Applications
- Frontiers in Artificial Intelligence and Applications ; v.327
- Language:
- English
- Subjects (All):
- Software engineering.
- Artificial intelligence.
- Physical Description:
- 1 online resource (498 pages)
- Edition:
- 1st ed.
- Other Title:
- Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 19th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques
- Place of Publication:
- : IOS Press, Incorporated, 2020.
- Summary:
- This volume, part of the 'Frontiers in Artificial Intelligence and Applications' series, presents the proceedings of the 19th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT_20). It explores the latest trends, theories, and techniques in intelligent software tools and their impact on knowledge innovation. The book includes peer-reviewed papers that cover a wide range of topics such as requirement engineering, software design and optimization, software security, and the application of AI in software engineering. Aimed at researchers and practitioners in the field, it aims to provide insights into the challenges and advancements in intelligent software development. Generated by AI.
- Contents:
- Title Page
- Preface
- Organization
- Contents
- Chapter 1. Artificial Intelligence Techniques on Software Engineering, and Requirement Engineering
- Oversampling Based on Data Augmentation in Convolutional Neural Network for Silicon Wafer Defect Classification
- Fault Classification of IC Engine Using Wavelet Energy Features and Geometric Mean Neuron Model
- Photo Identification of Sea Turtles Using AlexNet and Multi-Class SVM
- Predictive Modeling for Student Grade Prediction Using Machine Learning and Visual Analytics
- Effectiveness of a Hybrid Deep Learning Model Integrated with a Hybrid Parameterisation Model in Decision-Making Analysis
- The Best Ensemble Learner of Bagged Tree Algorithm for Student Performance Prediction
- A Fast-RCNN Implementation for Human Silhouette Detection in Video Sequences
- Logic Error Detection Algorithm Based on RNN with Threshold Selection
- Normative Rule Extraction from Implicit Learning into Explicit Representation
- Intelligent Content Driving of Engineering Model System in Modeling Platform
- A Method for Image Forgery Detection Based on Error Level Analysis (ELA) Technique
- Chapter 2. Software Methods for Informatics, Medical Informatics and Bio-Medicine Applications
- A CNN-Based Mosquito Classification Using Image Transformation of Wingbeat Features
- Deep Classifier Model for Autism Spectrum Disorder Prediction
- Magnitude-Based Streamlines Seed Point Selection for 3D Flow Visualization
- Recognition of Heartbeat Categories Applying a Novel Preprocessing Scheme and Neural Networks
- A Fuzzy MOP Based Competence Set Expansion Method for Technology Roadmap Definitions
- An Innovative AI-Based System for Corruption Risks Assessment Among Corporate Managers to Support Open Source Analysis
- Chapter 3. Applied Software Tools, Techniques and Related Software Engineering Models
- Non-Attractive Periodic Trajectory Formation Mechanism on Random and Chaotic Time Series
- Comparison of Face Detection and Recognition Algorithms in Real-Time Video
- Toward a Mixed Tangle-Blockchain Architecture
- Design and Development of Fun Lean Augmented and Virtual Reality Prototypes for Hand and Upper Limb Rehabilitation
- REST API Auto Generation: A Model-Based Approach
- A Multi-Agent Model for Countering Terrorism Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 1-64368-115-X
- OCLC:
- 1203116887
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