AIMC Topic: Neural Networks, Computer

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Image Quality Evaluation of Sanda Sports Video Based on BP Neural Network Perception.

Computational intelligence and neuroscience
In the special sports camera, there are subframes. A lens is composed of multiple frames. It will be unclear if a frame is cut out. The definition of video screenshots lies in the quality of video. To get clear screenshots, we need to find clear vide...

Multivariate Streamflow Simulation Using Hybrid Deep Learning Models.

Computational intelligence and neuroscience
Reliable and accurate streamflow simulation has a vital role in water resource development, mainly in agriculture, environment, domestic water supply, hydropower generation, flood control, and early warning systems. In this context, these days, deep ...

Optimization of Human Motion Recognition Information Processing System Based on GA-BP Neural Network Algorithm.

Computational intelligence and neuroscience
At present, there are some problems in the process of human motion recognition, such as poor timeliness and low fault tolerance rate. How to effectively identify the motion process accurately has become a hot spot in the optimization system. In the e...

Generative Deep Learning for Targeted Compound Design.

Journal of chemical information and modeling
In the past few years, molecular design has increasingly been using generative models from the emergent field of Deep Learning, proposing novel compounds that are likely to possess desired properties or activities. molecular design finds applicatio...

Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks.

Medical physics
PURPOSE: To enable real-time adaptive magnetic resonance imaging-guided radiotherapy (MRIgRT) by obtaining time-resolved three-dimensional (3D) deformation vector fields (DVFs) with high spatiotemporal resolution and low latency (  ms). Theory and M...

Artificial Neural Network Algorithms to Predict Resting Energy Expenditure in Critically Ill Children.

Nutrients
INTRODUCTION: Accurate assessment of resting energy expenditure (REE) can guide optimal nutritional prescription in critically ill children. Indirect calorimetry (IC) is the gold standard for REE measurement, but its use is limited. Alternatively, RE...

Breast Mass Classification Using Diverse Contextual Information and Convolutional Neural Network.

Biosensors
Masses are one of the early signs of breast cancer, and the survival rate of women suffering from breast cancer can be improved if masses can be correctly identified as benign or malignant. However, their classification is challenging due to the simi...

Scoring Performance on the Y-Balance Test Using a Deep Learning Approach.

Sensors (Basel, Switzerland)
The Y Balance Test (YBT) is a dynamic balance assessment typically used in sports medicine. This work proposes a deep learning approach to automatically score this YBT by estimating the normalized reach distance (NRD) using a wearable sensor to regis...

Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique.

Sensors (Basel, Switzerland)
With the advent of the Fourth Industrial Revolution, the economic, social, and technological demands for pipe maintenance are increasing due to the aging of the infrastructure caused by the increase in industrial development and the expansion of citi...

Hourly Origin-Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning.

Sensors (Basel, Switzerland)
Predicting the travel demand plays an indispensable role in urban transportation planning. Data collection methods for estimating the origin-destination (OD) demand matrix are being extensively shifted from traditional survey techniques to the pre-co...