Intelligent Data Engineering and Automated Learning - Ideal 2020
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Intelligent Data Engineering and Automated Learning - Ideal 2020

Intelligent Data Engineering and Automated Learning - Ideal 2020


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About the Book

Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net.- Evaluation of Machine Learning Algorithms for Automated Management of Wireless Links.- Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods.- HEAT: Hyperbolic Embedding of Attributed Networks.- Least Squares Approach for Multivariate Split Selection in Regression Trees.- A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes.- A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks.- Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification.- LSI Based Mechanism for Educational Videos Retrieval by Transcripts Processing.- Visualization of Numerical Association Rules by Hill Slopes.- Adaptation and Anxiety Assessment in Undergraduate Nursing Students.- Text Similarity between Concepts Extracted from Source Code and Documentation.- Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis.- An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients using Pairwise Relationship and Hierarchical Clustering.- Improving Adversarial Learning with Image Quality Measures for Image Deblurring.- On Random-Forest-Based Prediction Intervals.-A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports.-One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition.- Integrating a Data Mining Engine into Recommender Systems.- Free-Floating Carsharing in SimFleet.- Fatigue Detection in Strength Exercises for Older People.- Trading Cryptocurrency with Deep Deterministic Policy Gradients.- TMSA: Participatory Sensing Based on Mobile Phones in Urban Spaces.- A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing.- PC-OPT: A SfM Point Cloud Denoising Algorithm.- GELAB and Hybrid Optimization Using Grammatical Evolution.- Distribution-wise Symbolic Aggregate approXimation (dwSAX).- Intelligent Call Routing for Telecommunications Call-Centers.-Entropy Based Grey Wolf Optimizer.- Mapping a Clinical Case Description to an Argumentation Framework: a Preliminary Assessment.- Learning User Comfort and Well-being through Smart Devices.- A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants.- Automatic Multispectral Image Classification of Plant Virus from Leaf Samples.- Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results.


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Product Details
  • ISBN-13: 9783030623616
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 400
  • Spine Width: 22 mm
  • Weight: 648 gr
  • ISBN-10: 3030623610
  • Publisher Date: 30 Oct 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I
  • Width: 156 mm


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Intelligent Data Engineering and Automated Learning - Ideal 2020
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