AIMC Topic: Neural Networks, Computer

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Bone segmentation in contrast enhanced whole-body computed tomography.

Biomedical physics & engineering express
Segmentation of bone regions allows for enhanced diagnostics, disease characterisation and treatment monitoring in CT imaging. In contrast enhanced whole-body scans accurate automatic segmentation is particularly difficult as low dose whole body prot...

Intelligent Big Information Retrieval of Smart Library Based on Graph Neural Network (GNN) Algorithm.

Computational intelligence and neuroscience
In order to provide users with more humanized and intelligent big data knowledge services, a research method of intelligent big information retrieval of Smart Library Based on graph neural network (GNN) algorithm is proposed. Through the key technica...

Comprehensive Evaluation of the Tendency of Vertical Collusion in Construction Bidding Based on Deep Neural Network.

Computational intelligence and neuroscience
To effectively diagnose and monitor the vertical collusion in construction project bidding, this paper developed a comprehensive evaluation model with deep neural network and transfer learning. By this model, the collusion characteristics of bidders,...

Designing Deep Learning Hardware Accelerator and Efficiency Evaluation.

Computational intelligence and neuroscience
With the swift development of deep learning applications, the convolutional neural network (CNN) has brought a tremendous challenge to traditional processors to fulfil computing requirements. It is urgent to embrace new strategies to improve efficien...

Application of Dynamic Process Neural Network Model Identification in Ethnic Dance Online Teaching System.

Computational intelligence and neuroscience
With the development of the times, education presents a new trend, but the teaching characteristics of dance classroom teaching cannot adapt to the current development trend. In this article, the author analyzes modern information technology, hoping ...

Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education.

Computational intelligence and neuroscience
The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching environment and t...

Analysis and Research on the Impact of Physical Exercise on Residents' Health Based on the Improved BP Neural Network Model.

Journal of environmental and public health
With the rapid improvement of social economy and the enhancement of people's health awareness, it is necessary to make an in-depth analysis of the rationality of physical exercise and the physical quality of residents. Hence, this study aims to explo...

General Industrial Environment and Health Design Software Using a Small Data-Driven Neural Network Model.

Journal of environmental and public health
The developed enterprise intellectual brain neural network platform for industrial environment and health design driven by small data converts the wisdom knowledge of enterprise designers into data and helps enterprises retain design experience, accu...

Reinforcement learning based adaptive optimal control for constrained nonlinear system via a novel state-dependent transformation.

ISA transactions
Existing schemes for state-constrained systems either impose feasibility conditions or ignore the optimality. In this article, an adaptive optimal control scheme for the strict-feedback nonlinear system is proposed, which benefits from two design ste...

DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images.

Computers in biology and medicine
Highly focused images of skin captured with ordinary cameras, called macro-images, are extensively used in dermatology. Being highly focused views, the macro-images contain only lesions and background regions. Hence, the localization of lesions on th...