Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: This PhD Symposium Paper explores deep-learning based sequential modeling methods for textual data by investigating two applications: network security log analysis and financial forecasting.

Abstract: This paper presents a deep learning approach for the classification of brain tumors using MRI images, leveraging the Xception architecture for efficient and accurate detection. The dataset ...