Advances in Computing
Springer International Publishing (Verlag)
978-3-031-47371-5 (ISBN)
The 22 full papers and 11 short papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: Industrial Applications - Industry 4.0 - Precision Agriculture, Artificial Intelligence, Distributed systems and large-scale computing, Computational Statistics, Digital Learning - E-learning, Software Engineering, Human Machine Interaction, Image processing and Computer Vision, Robotics in Industry 4.0 and Scientific Applications.
Machine Learning based Plant Disease Detection using EfficientNet B7.- Land Cover Classification Using Remote Sensing and Supervised Convolutional Neural Networks.- Fusion of optical and radar data by aggregation into a single feature space for LULC classification.- Computer room failure reporting system for a Higher Education Institution.- Recent Advances in Machine Learning for Differential Cryptanalysis.- Addressing the Diet Problem with Constraint Programming Enhanced with Machine Learning.- Assessing ChatGPT's Proficiency in CS1-Level Problem Solving.- Clean Architecture: Impacto en el rendimiento y mantenibilidad de proyectos de Android nativos.- Evaluation of AI techniques to implement proactive container auto-scaling strategies.- Teaching strategy for enabling technologies of Industry 4.0 to high school students.- Automatic translation of text and audio to Colombian Sign Language.- Movement in video classification using structured data: Workout videos application.- Planning Navigation Routes in Unknown Environments.- Integration of Cyber-Physical System and Digital Twin for Controlling a Robotic Manipulator: An Industry 4.0 Approach.- Declarative Visual Programming with Invariant, Pre- and Post-conditions for Lattice Approximation of 3D Models.- Using Open Data for Training Deep Learning Models: A waste identification case study.- Instructional strategies for performance improvement in algebra: A systematic mapping.- Model for Fruit Tree Classification through Aerial Images.- Change Point Detection for Time Dependent Counts Using Extended MDL and Genetic Algorithms.- An Exploration of Genetic Algorithms Operators for the Detection of Multiple Change-points of Exceedances using Non-Homogeneous Poisson Processes and Bayesian Methods.- Synthetic Hyperspectral Data for Avocado Maturity Classification.- Fuzzy Model for Risk Characterization in Avocado Crops for Index Insurance Configuration.- Safety Verification of the Raft Leader Election Algorithm using Athena.- Modeling Detecting Plant Diseases in Precision Agriculture: A NDVI Analysis for Early and Accurate Diagnosis.- Towards the construction of an emotion analysis model in university students using images taken in classrooms.- Cloud-native architecture for distributed systems that facilitates integration with AIOps platforms.- Comparing Three Agent-Based Models Implementations of Vector-Borne Disease Transmission Dynamics.- Towards a Predictive Model that supports the achievement of more assertive commercial KPIs Case: Wood Trading Company.- BDI Peasants Model for the WellProdSim Agent-based Social Simulator.- Discovering Key Aspects to Reduce Employee Turnover using a Predictive Model.- Findby: An Application for Accessibility and Inclusive Exploration.- Tracing the visual path: Gaze direction in the 360 video experience.- UsingVirtual Reality to Detect Memory Loss: An Exploratory Study.
Erscheinungsdatum | 14.11.2023 |
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Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | XII, 428 p. 174 illus., 151 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 670 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
Schlagworte | Artificial Intelligence • Communication Systems • computer crime • Computer Hardware • Computer Networks • Computer Security • Data Security • Deep learning • distributed computer systems • Distributed Systems • E-Learning • Fuzzy Logic • Human-Computer Interaction (HCI) • machine learning • Network Protocols • Telecommunication networks |
ISBN-10 | 3-031-47371-X / 303147371X |
ISBN-13 | 978-3-031-47371-5 / 9783031473715 |
Zustand | Neuware |
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