The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

How about this one? “Did you permit a $1459 withdrawal from DoorDash?” Spam text messages have surged nationally over the last few years. There was one month last year in which 19 billion spam ...

we propose a frequency response masking (FRM)-based wideband channelizer for passive detection and jamming integrated (PDJI) processor to achieve high sensitivity and the ability to simultaneously jam ...

This system facilitates the engineering application of image super-resolution reconstruction, defect detection, and semi-supervised learning methods in real-world weld detection scenarios through the ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

In yet another strong step against Pakistan in the wake of the Pahalgam terror attack, India has stanched the flow of water through the Baglihar Dam on the Chenab ...

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...