New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence The DITTET 2023 Collection için kapak resmi
Başlık:
New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence The DITTET 2023 Collection
Yazar:
de la Iglesia, Daniel H. editor.
ISBN:
9783031383441
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XVI, 362 p. 162 illus., 148 illus. in color. online resource.
Seri:
Advances in Intelligent Systems and Computing, 1452
İçerik:
Application of search algorithm in research of sEMG in swallowing disorders -- Predictive Maintenance of Mechanical systems using Data Analytics -- Development of web application firewall based on artificial intelligence -- Age Analysis with Convolutional Neural Networks -- Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare -- Machine Learning for Automatic Weather Stations: A Case Study -- LIPTracker - People detection system based on their devices -- Smart electronic Nose: an empirical evaluation of new multi-channel gas sensors for smell classification -- Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware -- An IoT-Based Framework for Monitoring Photovoltaic Batteries -- Spearmint: A Decentralized Solution for Recording Evidence of Cyberbullying -- Synonym-substitution algorithms for enrich the Agrovoc vocabulary -- Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education -- Analysis of surface electromyography devices applied to swallowing disorders. A Systematic Review -- An IoT-enabled Framework for Efficient Water Management in Agriculture -- Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles -- Is blockchain a disruptive innovation? A systematic literature review -- Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens -- Platform for tele-rehabilitation of balance disorder and motork skills -- A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data.
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