Telecom Fraud Detection: SMS Spam Classifier built with Python, Scikit-learn, and Streamlit. Achieves ~98% accuracy using TF-IDF + Naive Bayes. Includes EDA, fraud trend visualization, and real-time ...
Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...
Abstract: Effective classification of Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) conditions is essential for optimizing communication performance in UAV-assisted networks, where signal quality, ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Abstract: The transmission line is the most important component of the power system. Classifying the faults occurring on the transmission line helps the system operator activate the mechanism of ...
Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks
1 School of Computer Science, Technological University Dublin, Dublin, Ireland 2 ADAPT Research Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland Previous work ...
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