Now showing items 1-6 of 6
Advancement of Data-Driven Short-Term Flood Predictions on an Urbanized Watershed Using Preprocessing Techniques
Supervised classification can be applied for short-term predictions of hydrological events in cases where the label of the event rather than its magnitude is crucial, as in the case of early flood warning systems. To be ...
Automatic Image Recognition of Rapid Malaria Emergency Diagnosis: A Deep Neural Network Approach
Deep learning is the state-of-the-art artificial intelligence (AI) method for visual pattern detection and automated diagnosis. This paper describes the application of convolutional neural network (CNN), the deep learning ...
Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems
The Collaborative Filtering recommendation systems have been developed to address the information overload problem and personalize the content to the users for business and organizations. However, the Collaborative Filtering ...
Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets
Research into the combination of data mining and machine learning technology with web-based education systems (known as education data mining, or EDM) is becoming imperative in order to enhance the quality of education by ...
A Hierarchical Rule-Based Security Management System for Date-Intensive Applications
Applications in today's software development environment evolve at a rapid rate, constantly providing their users with new functionalities. As a result, it becomes increasingly complex to understand the entire application. ...
Measuring Short Text Semantic Similarity with Deep Learning Models
Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken, which is a subfield of artificial intelligence (AI). The development of NLP applications is challenging ...