The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized as far superior to the current algorithms ...
Abstract: Acute Lymphoblastic Leukemia (ALL) is a serious blood cancer characterized by the abnormal growth of progenitor white blood cells, which interferes with normal blood cell production. Early ...
Learn how ARUP's AI algorithm improves diagnostic accuracy for detecting intestinal parasites, enhancing treatment outcomes for patients.
Abstract: This study proposes a feature-enhanced Faster R-CNN algorithm to address the challenges of dense targets, varying object shapes, and complex backgrounds in remote sensing image detection.
Abstract: The objective of this paper is to understand the technological advancement in the medical image segmentation and classification of Magnetic Resonance (MR) Images using Deep Learning (DL) ...
In this video, I demonstrate how I trained an AI to play the classic game of Snake Government shutdown live updates; Trump administration will partially pay for SNAP benefits Walmart CEO unveils ...
1 Princess Nourah bint Abdulrahman University, P.O. Box 1029, Riyadh 11671, Saudi Arabia, Saudi Arabia 2 Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandria, Egypt The ...