AIMC Topic: Neural Networks, Computer

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Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast.

Journal of chemical information and modeling
Deep learning has been a prevalence in computational chemistry and widely implemented in molecular property predictions. Recently, self-supervised learning (SSL), especially contrastive learning (CL), has gathered growing attention for the potential ...

Artificial intelligence in cardiology: fundamentals and applications.

Internal medicine journal
Artificial intelligence (AI) is an overarching term that encompasses a set of computational approaches that are trained through generalised learning to autonomously execute specific tasks. AI is a rapidly expanding field in medicine. In particular ca...

Hierarchical Attention Neural Network for Event Types to Improve Event Detection.

Sensors (Basel, Switzerland)
Event detection is an important task in the field of natural language processing, which aims to detect trigger words in a sentence and classify them into specific event types. Event detection tasks suffer from data sparsity and event instances imbala...

A Novel Method to Inspect 3D Ball Joint Socket Products Using 2D Convolutional Neural Network with Spatial and Channel Attention.

Sensors (Basel, Switzerland)
Product defect inspections are extremely important for industrial manufacturing processes. It is necessary to develop a special inspection system for each industrial product due to their complexity and diversity. Even though high-precision 3D cameras...

Age Estimation of Faces in Videos Using Head Pose Estimation and Convolutional Neural Networks.

Sensors (Basel, Switzerland)
Age estimation from human faces is an important yet challenging task in computer vision because of the large differences between physical age and apparent age. Due to the differences including races, genders, and other factors, the performance of a l...

Application of Imaging Examination Based on Deep Learning in the Diagnosis of Viral Senile Pneumonia.

Contrast media & molecular imaging
Medical image classification technology, preferably which is based on the deep learning, is not only a key auxiliary diagnosis and treatment method in clinical medicine but also an important direction of scientific research. With the intensification ...

A Study on the Impact of Digital Finance on Regional Productivity Growth Based on Artificial Neural Networks.

Computational intelligence and neuroscience
The relationship between financial development and economic growth has become a hot topic in recent years and for China, which is undergoing financial liberalisation and policy reform, the efficiency of the use of digital finance and the deepening of...

Commercial Bank Credit Grading Model Using Genetic Optimization Neural Network and Cluster Analysis.

Computational intelligence and neuroscience
Commercial banks are facing unprecedented credit risk challenges as the financial market becomes more volatile. Based on this, this study proposes and builds a credit risk assessment model for commercial banks based on GANN from the standpoint of com...

Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

Computational intelligence and neuroscience
With the development of AI technology, human-computer interaction technology is no longer the traditional mouse and keyboard interaction. AI and VR have been widely used in early childhood education. In the process of the slow development and applica...

Neural Network Technology-Based Optimization Framework of Financial and Management Accounting Model.

Computational intelligence and neuroscience
Traditional financial accounting has gradually evolved into management accounting in order to adapt to changing times and developments. To avoid being obliterated by the times, accountants must gradually improve their professional and comprehensive a...