Cover image for Smart Technologies, Systems and Applications 3rd International Conference, SmartTech-IC 2022, Cuenca, Ecuador, November 16-18, 2022, Revised Selected Papers
Title:
Smart Technologies, Systems and Applications 3rd International Conference, SmartTech-IC 2022, Cuenca, Ecuador, November 16-18, 2022, Revised Selected Papers
Author:
Narváez, Fabián R. editor.
ISBN:
9783031322136
Edition:
1st ed. 2023.
Physical Description:
XVII, 529 p. 314 illus., 265 illus. in color. online resource.
Series:
Communications in Computer and Information Science, 1705
Contents:
Smart Technologies -- Demand forecasting of Fast Moving Consumer Goods by Deep Learning-based Time-Series Analysis -- Data Mining Application for the Generation of User Profiles in Serious Games Aimed at Attention and Memory Training -- Automatic class extraction from spanish text of user stories using natural language processing -- A tuning approach using genetic algorithms for emergency incidents classification in social media in Ecuador -- Software Hope: User centered design for children with ASD -- Performance analysis of emotion recognition prediction on mobile devices -- Android mobile application for cattle body condition score using convolutional neural networks -- Automatic Selection of Reference Lines for Spectrometer Calibration with Recurrent Neural Networks -- Virtual Learning Environment for Children with Down Syndrome through Leap Motion and Artificial Intelligence -- Building a Knowledge Graph from Historical Newspapers: A Study Case in Ecuador -- Smart Systems -- Colombian Sign Language Classification based on Hands Pose and Machine Learning Techniques -- Spanish Stylometric Features to Determine Gender and Profession of Ecuadorian Twitter Users -- Identification of tropical dry forest transformation from soundscapes using supervised learning -- Atmospheric Dispersion Prediction for Toxic Gas Clouds by using Machine Learning Approaches -- Facial recognition system with liveness detection integrated into Odoo for attendance registration in a software laboratory -- Classification of Epileptic Seizures Based On CNN And Guided Back-Propagation For Interpretation Analysis -- An Approach to the Presumptive Detection of Road Incidents in Cuenca, Ecuador using the data from the Social Media Twitter and Spanish Natural Language Processing -- Financial credit risk measurement using a binary classification model -- FPGA-based Four-band Multispectral Camera Prototype for Precision Agriculture Applications -- Small-Scale Precision Agriculture: a Case Study Applied to a Seed Germination Chamber -- Diagnosis and degree of Evolution in a Keratoconus-type Corneal Ectasia Form Image Processing -- Finite element analysis of uncovered coplanar interdigital electrodes for capacitive sensor applications -- Smart Trends and Applications -- Medical diagnostic support software for depressive disorder in adolescents and adults based on electroencephalogram readings -- Effects of a Robotic Lower-Limb Orthosis on Gait based on the Analysis of sEMG Signals and Kinematic Data: Preliminary Results -- Design and Evaluation of a prototype of Dual Channel Electrical Stimulator: application in the assessment of current perception thresholds to multiple stimuli -- System for Postural Stability Assessment basedon an Inertial Sensors Network -- Perspectives on Climate Change until 2030 -- Virtual power plants as a management strategy to improve resilience in electrical distribution networks -- Design of an integrated system for the measurement and monitoring of electrical parameters under ISO 50001: a case study -- Aerodinamic Analysis based on Materials and Shapes of Different Types of Wind Turbine Blades for Wind Energy Production using Fast and Matlab Simulink -- Numerical Comparison Using CFD of R134a and R600a Condensation in Helical and Spiral Exchangers -- CIEMS: A Review Towards a Collaborative Industrial Emergency Management Information System -- PID and Model Predictive Control (MPC) Strategies Design for a Virtual Distributed Solar Collector Field -- Speed Controller by Neural Networks Trained by Invasive Weed for a DC Motor -- Abiotic Maize Stress Detection Using Hyperspectral Signatures and Band Selection -- Optimal Energy Dispatch Analysis using the inclusion of Virtual Power Plants based on Dynamic Power Flows -- Routing Protocols Implementation for WSN Using Optimal Dimensioning.
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