Title:
Applications of Artificial Intelligence and Neural Systems to Data Science
Author:
Esposito, Anna. editor. (orcid)0000-0002-7268-1795
ISBN:
9789819935925
Edition:
1st ed. 2023.
Physical Description:
XVI, 360 p. 102 illus., 95 illus. in color. online resource.
Series:
Smart Innovation, Systems and Technologies, 360
Contents:
Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture -- Graph Neural Networks for Topological Feature Extraction in ECG Classification -- Manifold Learning by a Deep Gaussian Process Variational Autoencoder -- Analysis of Sensors for Movement Analysis -- Dual Seep Clustering -- Learning-Based Approach to Predict Fatal Events in Brugada Syndrome -- Breast Cancer Localization and Classification in Mammograms Using YoloV5 -- Deep Acoustic Emission Detection Trained on Seismic Signals -- A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer's Disease Using Resting-State EEG signals -- Imitation Learning Through Prior Injection in Markov Decision Processes -- Vision-Based Human Activity Recognition Methods Using Pose Estimation -- Identifying Exoplanets in TESS Data by Deep Learning -- Computational Intelligence for Marine Litter Recovery -- A Synthetic Datasetfor Learning Optical Flow in Underwater Environment -- An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification.
Subject Term:
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-99-3592-5Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
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Searching... | E-Book | 527663-1001 | ONLINE | Searching... | Searching... |