IEEE

Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring

Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...
eLife

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
Scientific American

Jieneng Chen

Computer scientist Jieneng Chen wants to digitize the physical world. He is the inventor of TransUNet, an ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
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 ...
Nature

Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images

Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome ...
Nature

Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test

The heterogeneity of Parkinson’s disease (PD) presents considerable challenges for accurate diagnosis, particularly during early-stage disease, when the symptoms may be extremely subtle. This study ...
TechRepublic

The 6 Best Robotics Engineering Courses Worth Taking

Today’s best robotics courses offer hands-on experience with circuits, ROS, Lidar, and more. Robots are everywhere, from the assembly line of major factories to the vacuums cleaning the living room ...
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 ...
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 ...