{"product_id":"intelligent-data-engineering-and-automated-learning-ideal-2024-9783031777370","title":"Intelligent Data Engineering and Automated Learning  IDEAL 2024","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-Frame Analysis.\u003cbr\u003e.- Smart Sign Language Decoder.\u003cbr\u003e.- Hotel's Price Prediction Based on Country Specific Data.\u003cbr\u003e.- New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques.\u003cbr\u003e.- An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes.\u003cbr\u003e.- Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study.\u003cbr\u003e.- LeakG3PD: a Python generator and simulated Water Distribution System dataset.\u003cbr\u003e.- Providing Informative Feedback in a Low-Cost Rehabilitation System using Machine Learning.\u003cbr\u003e.- Noise tolerance and robustness ranking in Machine Learning models.\u003cbr\u003e.- A supervised clustering approach to detect similar soccer players.\u003cbr\u003e.- Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach.\u003cbr\u003e.- Using Data Augmentation For Improving Text Summarization.\u003cbr\u003e.- Special Session on Predictive and Prescriptive Models for Smart Cities' Applications.\u003cbr\u003e.- Sustainable demand-responsive transportation: A case study in rural Guimarães.\u003cbr\u003e.- CLARA: Semi-Automatic Retraining System.\u003cbr\u003e.- A grid-based approach for ambulance dispatch in critical emergencies within static systems.\u003cbr\u003eOptimizing vehicle coordination at multi-lane intersections using traffic control algorithms.\u003cbr\u003e.- Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis.\u003cbr\u003e.- Optimizing UCO Container Placement in Urb. Envs: A GA Approach.\u003cbr\u003e.- Special Session on Computational intelligence on Renewable Energies and Sustainable Automation.\u003cbr\u003e.- Data analysis and anomaly detection in a wind farm with k-Nearest Neighbors.\u003cbr\u003e.- Development of a Database for Convolutional Neural Networks Simulating CFD Analysis.\u003cbr\u003e.- Special Session on Example-based Explainable Artificial Intelligence.\u003cbr\u003eEntity Examples for Explainable Query Target Type Identification with LLMs..\u003cbr\u003eNear Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification\u003cbr\u003e.- Special Session on Explainability and Fairness in Decision Support.\u003cbr\u003e.- Evaluative Customized Naïve Associative Classifier: promoting equity in AI for the selection and promotion of human resources.\u003cbr\u003eClustering of Serious Game Traces using Formal Concept Analysis.\u003cbr\u003eLORE4GroupRS: Explaining group recommendations supported by a local rule-based approach.\u003cbr\u003e.- Special Session on Federated Learning, Intelligent Fusion and Applications (FLIFA)\u003cbr\u003e.- Comparing MAE and RMSE as fitness of Genetic Algorithm for optimizing Echo State Network hyperparameters with different probabilistic distributions.\u003cbr\u003e.- Federated Learning with Discriminative Naive Bayes Classifier.\u003cbr\u003e.- Advances in Home Care and Real-Time Vital Signs Monitoring.\u003cbr\u003e.- Exploring Data Symbion EI deep learning and model sharing modules.\u003cbr\u003e.- A New Dataset for Analyzing Battery Failures in Wheelchairs.\u003cbr\u003e.- A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection.\u003cbr\u003e.- Multi-Layered Asynchronous Consensus-based Federated Learning (MACoL).\u003cbr\u003e.- .- Comparative study of Federated Learning algorithms based on SPADE agents.\u003cbr\u003e.- Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation.\u003cbr\u003e.- Special Session on Quantum Computing for Machine Learning and Optimization (Q4ML-Opt).\u003cbr\u003e.- Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?.\u003cbr\u003e.- QUBO Optimization of Electrical Grid Topologies.\u003cbr\u003e.-Special Session on Anomaly Detection with Machine Learning.\u003cbr\u003e.- Indecision-aware Deep Active Anomaly Detection.\u003cbr\u003e.- Special Session on Developing AI Curricula for Pre-University Education.\u003cbr\u003e.- Educational management as an ensure of high-quality standards, focused on the added value of a public university.\u003cbr\u003e.- Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training.\u003cbr\u003e.- What Students Should Learn and Teachers Must Know about Artificial Intelligence.\u003cbr\u003e.- Simplification of Image Segmentation and Object Detection Teaching Materials.\u003cbr\u003e.- Educational Computer Vision Materials for Classification and Tracking of Objects.\u003cbr\u003e.- Starting point in the introduction of AI in VET: Analysis and proposals in Spain.\u003cbr\u003e.- Advancing Robotics Education: Integrating Large Language Models for Natural Language .- Programming in VET.\u003cbr\u003e.- A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in .- Middle Education.\u003cbr\u003e.- Special Session on Data Selection in Machine Learning (6th Edition).\u003cbr\u003e.- Data Mining In Credit Card Approval: Feature Importance as a Comparison.\u003cbr\u003e.- Special Session on Computational Intelligence for Imbalanced Classification.\u003cbr\u003e.- 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195426300247,"sku":"9783031777370","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/intelligent-data-engineering-and-automated-learning-ideal-2024-9783031777370","provider":"Book Curl","version":"1.0","type":"link"}