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A Systematic Literature Review of Learning-Based Traffic Accident Prediction Models Based on Heterogeneous Sources
ReviewAbstract: Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users, such aPalabras claves:Deep learning, heterogeneous sources, Machine Learning, Neural network, traffic accident pbkp_rediction, Traffic accident predictionAutores:Ángel Leonardo Valdivieso Caraguay, Myriam Hernández-Alvarez, Pablo MarcilloFuentes:googlescopusA survey on situational awareness of ransomware attacks-detection and prevention parameters
ArticleAbstract: In recent years, cybercrime activities have grown significantly, compromising device security and jePalabras claves:information security, pbkp_rediction, PREDICTION, ransomware, Situational awarenessAutores:Ángel Leonardo Valdivieso Caraguay, Juan A. Herrera Silva, Lorena Isabel Barona López, Myriam Hernández-AlvarezFuentes:scopusStock Market Data Prediction Using Machine Learning Techniques
Conference ObjectAbstract: This paper studies the possibilities of making prediction of stock market prices using historical daPalabras claves:Artificial intelligence, Machine Learning, pbkp_rediction, PREDICTION, stock marketAutores:Edgar Alejandro Torres, Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun YooFuentes:scopusSurvey about citation context analysis: Tasks, techniques, and resources
ArticleAbstract: Bibliometric calculations currently used to assess the quality of researchers, articles, and scientiPalabras claves:Autores:Gomez Soriano J.M., Myriam Hernández-AlvarezFuentes:googlescopusPrediction of Accident Risk Levels in Traffic Accidents Using Deep Learning and Radial Basis Function Neural Networks Applied to a Dataset with Information on Driving Events
ArticleAbstract: A complex AI system must be worked offline because the training and execution phases are processed sPalabras claves:Deep learning, dynamic dataset, prediction of traffic accidents, Radial basis functionAutores:Ángel Leonardo Valdivieso Caraguay, Cristian Arciniegas-Ayala, Myriam Hernández-Alvarez, Pablo MarcilloFuentes:scopusPOLIDriving: A Public-Access Driving Dataset for Road Traffic Safety Analysis
ArticleAbstract: The problems with current driving datasets are their exclusivity to autonomous driving applicationsPalabras claves:driving dataset, heterogeneous data sources, risk level prediction model, traffic accident prevention, traffic accidentsAutores:Ángel Leonardo Valdivieso Caraguay, Cristian Arciniegas-Ayala, Myriam Hernández-Alvarez, Pablo Marcillo, Sandra Patricia Sánchez GordónFuentes:scopusGAN-Based Generation of Synthetic Data for Vehicle Driving Events
ArticleAbstract: Developing solutions to reduce traffic accidents requires experimentation and much data. However, duPalabras claves:driving event data, Generative Adversarial Networks, synthetic data generation, time series synthesis, traffic accident risk levelAutores:Ángel Leonardo Valdivieso Caraguay, Diego Tamayo-Urgilés, Myriam Hernández-Alvarez, Sandra Patricia Sánchez GordónFuentes:scopusDecentralized Systems and AI: Exploring the Intersection of Web3, Blockchain, and Predictive Machine Learning
OtherAbstract: This paper explores the integration of decentralized systems, Web3, and predictive machine learningPalabras claves:BLOCKCHAIN, Decentralized systems, Job Recruitment, Predictive Machine Learning, Web3Autores:Edgar Alejandro Torres, Myriam Hernández-AlvarezFuentes:scopusA Privacy-Preserving Scheme for a Traffic Accident Risk Level Prediction System
ArticleAbstract: Due to the expansion of Artificial Intelligence (AI), especially Machine Learning (ML), it is more cPalabras claves:fully connected neural network, fully homomorphic encryption, privacy-preserving machine learning, Security, traffic accident preventionAutores:Gabriela Suntaxi, Myriam Hernández-Alvarez, Pablo MarcilloFuentes:scopusDeployment of Ransomware Detection Using Dynamic Analysis and Machine Learning
OtherAbstract: Ransomware’s growing impact is powered by dedicated criminal teams working within an organized businPalabras claves:Dataset, dynamic analysis, encryptor, Features, locker, Machine Learning, Ransomware detection, Timeline of the ransomware evolutionAutores:Juan A. Herrera Silva, Myriam Hernández-AlvarezFuentes:scopus