AIMC Topic: Neural Networks, Computer

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Predicting technological innovation in new energy vehicles based on an improved radial basis function neural network for policy synergy.

PloS one
Policy synergy is necessary to promote technological innovation and sustainable industrial development. A radial basis function (RBF) neural network model with an automatic coding machine and fractional momentum was proposed for the prediction of tec...

Semantic segmentation method of underwater images based on encoder-decoder architecture.

PloS one
With the exploration and development of marine resources, deep learning is more and more widely used in underwater image processing. However, the quality of the original underwater images is so low that traditional semantic segmentation methods obtai...

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.

Journal of digital imaging
Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniqu...

Development of a computer-aided quality assurance support system for identifying hand X-ray image direction using deep convolutional neural network.

Radiological physics and technology
The convenience of imaging has improved with digitization; however, there has been no progress in the methods used to prevent human error. Therefore, radiographic incidents and accidents are not prevented. In Japan, image interpretation is conducted ...

Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Neuromuscular disorders are diseases that damage our ability to control body movements. Needle electromyography (nEMG) is often used to diagnose neuromuscular disorders, which is an electrophysiological test measuring electr...

An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator.

Neural networks : the official journal of the International Neural Network Society
This paper proposes a novel constrained optimization model to address the loco-manipulation problem of mobile robot with redundant manipulator for trajectory tracking. To alleviate the accumulative error of the end-effector's position, a new control ...

A framework for falsifiable explanations of machine learning models with an application in computational pathology.

Medical image analysis
In recent years, deep learning has been the key driver of breakthrough developments in computational pathology and other image based approaches that support medical diagnosis and treatment. The underlying neural networks as inherent black boxes lack ...

Evaluation algorithm of coastal city ecological civilization development level based on improved BP neural network.

Journal of environmental management
To accurately evaluate the development level of ecological civilization in coastal cities, this paper proposes an evaluation algorithm of coastal city ecological civilization development based on Improved BP neural network, constructs the evaluation ...

Conformer-RL: A deep reinforcement learning library for conformer generation.

Journal of computational chemistry
Conformer-RL is an open-source Python package for applying deep reinforcement learning (RL) to the task of generating a diverse set of low-energy conformations for a single molecule. The library features a simple interface to train a deep RL conforme...

Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study.

Artificial intelligence in medicine
Computer-aided detection systems based on deep learning have shown great potential in breast cancer detection. However, the lack of domain generalization of artificial neural networks is an important obstacle to their deployment in changing clinical ...