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Machine Learning
Towards a model for the detection of firearms using machine learning algorithms: A case study
Logistic regression model to predict the risk of contagion of COVID-19 in patients with associated morbidity using supervised machine learning
Analysis of CoI Presence Indicators in a Moodle Forum using Unsupervised Learning Techniques
Development of an intelligent Web system for the analysis of data in the F2 layer of the ionosphere using Machine Learning techniques and its implementation as potential earthquake precursors
Recurrent Neural Networks (RNN) to predict the curve of COVID-19 in Ecuador during the El Niño Phenomenon
Traffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review
Use of data mining strategies in environmental parameters in poultry farms, a case study
Natural Language Processing and Semantic Web
A First Approach to the Classification of Adverse Drug Effects on Twitter through Machine Learning
SafercITies. Intelligent system for the analysis and monitoring of citizen security
Automatic classification of Tweets identifying mental health conditions in Central American population in a pandemic
SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and Opinion
Reuse of Ontological Knowledge in Open Science: Models, Sources, Repositories
Knowledge Graph for Retail commerce
Automated creation of a repository for learning words in the area of computer science by keyword extraction methods and text classification
Computer vision
Automatic identification of hermaphrodite papaya applying computer vision and Machine Learning
Automatic Detection of Melanoma in Human Skin Lesions
Information systems based on computer vision for the control of Sigatoka black disease in bananas
Knowledge-based systems
Bibliometric analysis based on scientific mapping in the use of digital marketing strategies
Innovating Chemistry Education: Integrating Cultural Knowledge through a Practical Guide and Augmented Reality
Evaluation of a Grid for the Identification of Traffic Congestion Patterns.
Towards a model for the detection of firearms using machine learning algorithms: A case study
Logistic regression model to predict the risk of contagion of COVID-19 in patients with associated morbidity using supervised machine learning
Analysis of CoI Presence Indicators in a Moodle Forum using Unsupervised Learning Techniques
Development of an intelligent Web system for the analysis of data in the F2 layer of the ionosphere using Machine Learning techniques and its implementation as potential earthquake precursors
Recurrent Neural Networks (RNN) to predict the curve of COVID-19 in Ecuador during the El Niño Phenomenon
Traffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review
Use of data mining strategies in environmental parameters in poultry farms, a case study
Natural Language Processing and Semantic Web
A First Approach to the Classification of Adverse Drug Effects on Twitter through Machine Learning
SafercITies. Intelligent system for the analysis and monitoring of citizen security
Automatic classification of Tweets identifying mental health conditions in Central American population in a pandemic
SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and Opinion
Reuse of Ontological Knowledge in Open Science: Models, Sources, Repositories
Knowledge Graph for Retail commerce
Automated creation of a repository for learning words in the area of computer science by keyword extraction methods and text classification
Computer vision
Automatic identification of hermaphrodite papaya applying computer vision and Machine Learning
Automatic Detection of Melanoma in Human Skin Lesions
Information systems based on computer vision for the control of Sigatoka black disease in bananas
Knowledge-based systems
Bibliometric analysis based on scientific mapping in the use of digital marketing strategies
Innovating Chemistry Education: Integrating Cultural Knowledge through a Practical Guide and Augmented Reality
Evaluation of a Grid for the Identification of Traffic Congestion Patterns.