This book constitutes the thoroughly refereed proceedings of the 10th International Congress on Telematics and Computing, WITCOM 2021, held in November 2021. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers in this volume were carefully reviewed and selected from 48 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19.
This book constitutes the thoroughly refereed proceedings of the 10th International Congress on Telematics and Computing, WITCOM 2021, held in November 2021. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers in this volume were carefully reviewed and selected from 48 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19.
Produktdetails
Produktdetails
Communications in Computer and Information Science 1430
An Artificial Neural Network for Depression Screening and Questionnaire Refinement in Undergraduate Students.- Mexican Edaphology Database.- Security incident classification applied to automated decisions using machine learning.- Integration of Rural and Urban Training in Teachers, Students and Older Adults in Computer Security Mediated by Technology.- Accuracy comparison between deep learning models for Mexican lemon classification.- Detection of covid-19 by applying a convolutional artificial neural network in x-ray images of lungs.- Scientific literature review for the search of vulnerabilities and pen-testing tools for SCADA system.- Automatic diagnosis of cardiovascular diseases using electrocardiogram data and artificial intelligence algorithms: a systematic review.- Optic disc and optic cup segmentation using polar coordinate and encoder-decoder architecture.- Forecasting the behavior of electric power supply at Yucatan, Mexico, usinga recurrent neural network.- Methodological proposal for privilege escalation in windows systems.- Satisfaction of Members of a Facebook Group with the Credible Information Provided to Reduce Medical Misinformation in Obstetrics during the COVID-19 Pandemic in Peru.- Content Distribution and Storage based on Volunteer and Community Computing.- Classification of cardiac arrhythmias using machine learning algorithms.- Performance Analysis of S-ALOHA Protocol Under Pareto Distributed Packet Arrival.- Learning Through Interactive Vicarious And Social Experiences, An Alternative To Developing Teaching Training Processes In Ict Skills.- Analysis of user generated content based on a recommender system based and augmented reality.- An Improved Riesz s-energy-based Archive to handle Dominance Resistant Solutions.- Analysis of the level of geographic criminal risk oriented to women.
An Artificial Neural Network for Depression Screening and Questionnaire Refinement in Undergraduate Students.- Mexican Edaphology Database.- Security incident classification applied to automated decisions using machine learning.- Integration of Rural and Urban Training in Teachers, Students and Older Adults in Computer Security Mediated by Technology.- Accuracy comparison between deep learning models for Mexican lemon classification.- Detection of covid-19 by applying a convolutional artificial neural network in x-ray images of lungs.- Scientific literature review for the search of vulnerabilities and pen-testing tools for SCADA system.- Automatic diagnosis of cardiovascular diseases using electrocardiogram data and artificial intelligence algorithms: a systematic review.- Optic disc and optic cup segmentation using polar coordinate and encoder-decoder architecture.- Forecasting the behavior of electric power supply at Yucatan, Mexico, usinga recurrent neural network.- Methodological proposal for privilege escalation in windows systems.- Satisfaction of Members of a Facebook Group with the Credible Information Provided to Reduce Medical Misinformation in Obstetrics during the COVID-19 Pandemic in Peru.- Content Distribution and Storage based on Volunteer and Community Computing.- Classification of cardiac arrhythmias using machine learning algorithms.- Performance Analysis of S-ALOHA Protocol Under Pareto Distributed Packet Arrival.- Learning Through Interactive Vicarious And Social Experiences, An Alternative To Developing Teaching Training Processes In Ict Skills.- Analysis of user generated content based on a recommender system based and augmented reality.- An Improved Riesz s-energy-based Archive to handle Dominance Resistant Solutions.- Analysis of the level of geographic criminal risk oriented to women.
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