Prescriptions

Face mediated human-robot interaction for remote medical examination.

Realtime visual feedback from consequences of actions is useful for future safety-critical human-robot interaction applications such as remote physical examination of patients. Given multiple formats to present visual feedback, using face as feedback for mediating human-robot interaction in remote examination remains understudied. Here we describe a face mediated human-robot interaction approach f...

Image classification combined with faster R-CNN for the peak detection of complex components and their metabolites in untargeted LC-HRMS data.

Peak detection of untargeted liquid chromatography-high resolution mass spectrometry (LC-HRMS) data is a key step to identify the metabolic status of the drugable chemicals and extracts from functional foods or herbs. Nevertheless, the existing approaches are difficult to obtain ideal results with low false positives and false negatives. In this paper, we proposed an automatic method based on conv...

Return of the normal distribution: Flexible deep continual learning with variational auto-encoders.

Learning continually from sequentially arriving data has been a long standing challenge in machine learning. An emergent body of deep learning literat...

Predicting compound-protein interaction using hierarchical graph convolutional networks.

MOTIVATION: Convolutional neural networks have enabled unprecedented breakthroughs in a variety of computer vision tasks. They have also drawn much at...

Adaptive Full-State-Constrained Control of Nonlinear Systems With Deferred Constraints Based on Nonbarrier Lyapunov Function Method.

In this article, the problem of tracking control is considered for a class of uncertain strict-feedback nonlinear systems with deferred asymmetric tim...

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.

Deep learning-based object detection and instance segmentation have achieved unprecedented progress. In this article, we propose complete-IoU (CIoU) l...

Using a Virtual Patient via an Artificial Intelligence Chatbot to Develop Dental Students' Diagnostic Skills.

Knowing how to diagnose effectively and efficiently is a fundamental skill that a good dental professional should acquire. If students perform a great...

Graph Neural Network with Self-Supervised Learning for Noncoding RNA-Drug Resistance Association Prediction.

Noncoding RNA(ncRNA) is closely related to drug resistance. Identifying the association between ncRNA and drug resistance is of great significance for...

A novel machine learning model based on sparse structure learning with adaptive graph regularization for predicting drug side effects.

Drug side effects are closely related to the success and failure of drug development. Here we present a novel machine learning method for side effect ...

Does adding the drug-drug similarity to drug-target interaction prediction methods make a noticeable improvement in their efficiency?

Predicting drug-target interactions (DTIs) has become an important bioinformatics issue because it is one of the critical and preliminary stages of dr...

Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.

CNS disorders are indications with a very high unmet medical needs, relatively smaller number of available drugs, and a subpar satisfaction level amon...

Feasibility Analysis of Mutual Benefit Cooperation between Environment-Embedded Art Design Education and Local SMEs Development Based on Improved Grey Analysis.

With the continuous progress of the economic era, both art and design education and local small and medium-sized enterprises are facing the crisis of ...

Molecule Design Using Molecular Generative Models Constrained by Ligand-Protein Interactions.

In recent years, molecular deep generative models have attracted much attention for its application in drug design. The data-driven molecular deep ge...

Deep Learning-Based Mental Health Model on Primary and Secondary School Students' Quality Cultivation.

The purpose was to timely identify the mental disorders (MDs) of students receiving primary and secondary education (PSE) (PSE students) and improve t...

Spatial Iterative Learning Control for Robotic Path Learning.

A spatial iterative learning control (sILC) method is proposed for a robot to learn a desired path in an unknown environment. When interacting with th...

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.

Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep learning models applied to rich electronic health re...

A Drug Recommendation Model Based on Message Propagation and DDI Gating Mechanism.

Drug recommendation task based on the deep learning model has been widely studied and applied in the health care field in recent years. However, the a...

Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System.

The vehicle-road collaborative information interaction system is an emerging technology system that realizes the sharing of information between vehicl...

Analysis of Data Interaction Process Based on Data Mining and Neural Network Topology Visualization.

This paper addresses data mining and neural network model construction and analysis to design a data interaction process model based on data mining an...

Sales Forecast of Marketing Brand Based on BP Neural Network Model.

With the advancement of globalization, the market competition among enterprises has become increasingly intense. To win a good market, an enterprise m...