Artificial Intelligence Applications and Innovations

Table of Contents

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   Book Overview
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   Chapter 1 Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles
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   Chapter 2 Next Generation Automated Reservoir Computing for Cyber Defense
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   Chapter 3 One-Class Models for Intrusion Detection at ISP Customer Networks
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   Chapter 4 An Innovative Method to Study the Social Impact of AI on the Work Environment Based on a Multi-dimensional Human-Centred Analysis of the Worker-AI Team
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   Chapter 5 CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data
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   Chapter 6 Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices
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   Chapter 7 Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction
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   Chapter 8 Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI
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    Chapter 9 Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting
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    Chapter 10 GCN-based Reinforcement Learning Approach for Scheduling DAG Applications
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    Chapter 11 Prediction of Drug Interactions Using Graph-Topological Features and GNN
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    Chapter 12 Scheduling the Service of Cargo Vessels in a Single Port with Spatial and Temporal Constraints
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    Chapter 13 Improving Supply Chain Management by Integrating RFID with IoT Shared Database: Proposing a System Architecture
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    Chapter 14 Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition Areas
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    Chapter 15 Active Learning Query Strategy Selection Using Dataset Meta-features Extraction
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    Chapter 16 Maritime Federated Learning for Decentralized On-Ship Intelligence
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    Chapter 17 OF-AE: Oblique Forest AutoEncoders
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    Chapter 18 VAE-Based Generic Decoding via Subspace Partition and Priori Utilization
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    Chapter 19 A Difference Measuring Network for Few-Shot Learning
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    Chapter 20 Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning
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    Chapter 21 AutoTiM - An Open-Source Service for Automated Provisioning and Operation of Time Series Based Machine Learning Models
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    Chapter 22 Characterization of an Absorption Machine Using Artificial Neural Networks
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    Chapter 23 Comparing Machine Learning Techniques for House Price Prediction
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    Chapter 24 Forecasting Goal Performance for Top League Football Players: A Comparative Study
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    Chapter 25 Forecasting of Wind Turbine Synthetic Signals Based on Nonlinear Autoregressive Networks
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    Chapter 26 Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines
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    Chapter 27 Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case
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    Chapter 28 ML-Based Prediction of Carbon Emissions for Potato Farms in Iran
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    Chapter 29 Pre-launch Fashion Product Demand Forecasting Using Machine Learning Algorithms
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    Chapter 30 Rapid Thrombogenesis Prediction in Covid-19 Patients Using Machine Learning
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    Chapter 31 Are These Descriptions Referring to the Same Entity or Just to Similar Ones?
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    Chapter 32 Efficient Approaches for the Discovery of Sensitive Information by Using Natural Language Processing Techniques
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    Chapter 33 Natural Language Processing for the Turkish Academic Texts in the Engineering Field: Key-Term Extraction, Similarity Detection, Subject/Topic Assignment
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    Chapter 34 Towards Automatic Evaluation of NLG Tasks Using Conversational Large Language Models
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    Chapter 35 Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach
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    Chapter 36 Generation of Optimum Frenet Curves by Genetic Algorithms for AGVs
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    Chapter 37 MPPT Control in an Offshore Wind Turbine Optimized with Genetic Algorithms and Unsupervised Neural Networks
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    Chapter 38 Predicting Hotel Performance in Oman with AI-Driven Predictive Analytic
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    Chapter 39 SASHA: Hyperparameter Optimization by Simulated Annealing and Successive Halving
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    Chapter 40 Data Collection Automation in Machine Learning Process Using Robotic Manipulator
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    Chapter 41 Emergence of Communication Through Artificial Evolution in an Orientation Consensus Task in Swarm Robotics
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    Chapter 42 Lossless Method of Constraining Membrane Potential in Deep Spiking Neural Networks
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    Chapter 43 Matching Patterns of Temporal Neural Activity Using the Victor-Purpura Distance in Real-Time
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    Chapter 44 Thematic Modeling of UN Sustainable Development Goals: A Comparative Meta-based Approach
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    Chapter 45 Transfer Learning Through Knowledge-Infused Representations with Contextual Experts