GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Science Daily

Computer scientists show the way: AI models need not be SO power hungry

The development of AI models is an overlooked climate culprit. Computer scientists have created a recipe book for designing AI models that use much less energy without compromising performance. They ...
Scientific Research Publishing

Method of Multi-Mode Sensor Data Fusion with an Adaptive Deep Coupling Convolutional Auto-Encoder ()

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...
Frontiers

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

Deep learning neural networks are especially potent at dealing with structured data, such as images and volumes. Both modified LiviaNET and HyperDense-Net performed well at a prior competition ...
Hacker

Driver Drowsiness Detection System: A Python Project with Source Code

I am Python developer and a Data Science Enthusiast. A technology freak who loves to write!! Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell ...
GitHub

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks.

This project provide you a method to update multi-task-loss for multi-input source. step2. Run gen_12net_data.py to generate 12net training data. Besides, gen_net_imdb.py provide you an example to ...