|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Juan Antonio Lossio-Ventura , Jorge Valverde-Rebaza , Eduardo Díaz , Hugo Alatrista-SalasPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Volume: 1837 Weight: 0.444kg ISBN: 9783031354441ISBN 10: 3031354443 Pages: 272 Publication Date: 11 June 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsA Preliminary Analysis of Twitter's LGBTQ + Discussions.- User-agnostic Model for Prediction of Retweets Based on Social Neighborhood Information.- Segmentation and classification of pages for digitized documents of the Public Prosecutor's Oce.- A Semantic Query Engine for Knowledge Rich Legal Digital Libraries.- Getting Quechua Closer to Final Users through Knowledge Graphs.- Using features based on elongation to enhance sentiment analysis.- Image Generation from sketches and text-guided attribute edition.- ADRAS: Airborne Disease Risk Assessment System for Closed Environments.- Predictive Sentiment Analysis Model regarding the variation of the Dollar Exchange Rate.- Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds.- Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data.- Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco).- Optimal layer selection on Deep Convolutional Neural Networks using backward freezing and binary Search.- Profiling Public Service Accessibility based on the Public Transport Infrastructure.- Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes.- Soil Organic Carbon Prediction using Digital Color Sensor in Peru.- Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web.- Smart doorbell with Telegram notification for multifamily dwellings.- Performance analysis of machine learning for food fraud prediction.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |