CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

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 ...

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

A deep learning project built with PyTorch and deployed using Streamlit to classify images as either a cat or a dog.

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...

1 National Engineering School of Sfax (ENIS), University of Sfax, Sfax, Tunisia 2 Multimedia, Information Systems and Advanced Computing Laboratory (MIRACL), University of Sfax, Sfax, Tunisia ...

Abstract: One of the cornerstones of processer vision is visual object recognition based on deep learning. Bounding boxes are also detected by these models, in addition to locating and classifying ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Abstract: This research called "Yakshakatha – Image to Text Platform for Yakshagana Images." It employs deep learning to classify crowns in Yakshagana Kirita using CNN classification. Yakshagana is a ...