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Found 5 papers, 1 papers with code
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
While Big Data can provide the farming community with valuable insights and improve efficiency, there is significant concern regarding the security of this data as well as the privacy of the participants.
Recent Advancements in Machine Learning For Cybercrime Prediction
We start the review with some standard methods cybercriminals use and then focus on the latest machine and deep learning techniques, which detect anomalous behavior and identify potential threats.
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
The study provides access to the datasets used for crime prediction by researchers and analyzes prominent approaches applied in machine learning and deep learning algorithms to predict crime, offering insights into different trends and factors related to criminal activities.
Student-centric Model of Learning Management System Activity and Academic Performance: from Correlation to Causation
Firstly, most of the current work is course-centered (i. e. models are built from data for a specific course) rather than student-centered; secondly, a vast majority of the models are correlational rather than causal.
Do we need to go Deep? Knowledge Tracing with Big Data
To estimate the student knowledge and further predict their future performance, the interest in utilizing the student interaction data captured by IES to develop learner performance models is increasing rapidly.
