My Account Log in

1 option

Intelligent Data Engineering and Automated Learning - IDEAL 2020 : 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I / edited by Cesar Analide, Paulo Novais, David Camacho, Hujun Yin.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Analide, Cesar, Editor.
Novais, Paulo, Editor.
Camacho, David, Editor.
Yin, Hujun., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12489
Information Systems and Applications, incl. Internet/Web, and HCI ; 12489
Language:
English
Subjects (All):
Data mining.
Artificial intelligence.
Application software.
Computer engineering.
Computer networks.
Computers.
Image processing-Digital techniques.
Computer vision.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Computing Milieux.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Local Subjects:
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Computing Milieux.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Physical Description:
1 online resource (XXV, 400 pages) : 133 illustrations, 92 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-030-62362-3
9783030623623
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account