Abstract: This paper explores the performance of two deep learning object detection architectures—Faster R-CNN with Inception V2 and MobileNet SSD V2—for detection and classification of the degree of ...

As a driving force of the Fourth Industrial Revolution, deep learning methods have achieved significant success across various fields, including genetic and genomic studies. While individual-level ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

Why is this important? This upgrade will allow users to pull source material directly from their Gmail, Drive, or Chat, eliminating the need to manually download and upload files. Why should I care?

Learn how to effectively read and understand deep learning code with this beginner-friendly guide. Break down complex scripts and get comfortable navigating AI projects step by step. #DeepLearning ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...

Abstract: Channel code type recognition is critical for enabling receivers to discern codes without prior knowledge. Despite the promise of deep learning approaches in this field, they often encounter ...

Eighty years ago, as the sea swayed him from side to side on an attack vessel heading towards Iwo Jima, Thomas Begay started to feel afraid. “On the ship, they said: ‘get your last scrap of steak and ...