AI Medical Compendium Topic

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Lightweight YOLOv4 with Multiple Receptive Fields for Detection of Pulmonary Tuberculosis.

Computational intelligence and neuroscience
The characteristics of pulmonary are complex, and the cost of manual screening is high. The detection model based on convolutional neural network is an essential method for assisted diagnosis with artificial intelligence. However, it also has the di...

Real-Time Tracking of Object Melting Based on Enhanced DeepLab 3+ Network.

Computational intelligence and neuroscience
In order to reveal the dissolution behavior of iron tailings in blast furnace slag, the main component of iron tailings, SiO, was used for research. Aiming at the problem of information loss and inaccurate extraction of tracking molten SiO particles ...

Deep Learning-Based Monocular 3D Object Detection with Refinement of Depth Information.

Sensors (Basel, Switzerland)
Recently, the research on monocular 3D target detection based on pseudo-LiDAR data has made some progress. In contrast to LiDAR-based algorithms, the robustness of pseudo-LiDAR methods is still inferior. After conducting in-depth experiments, we real...

New Quality Cost Framework (QCF) Based on the Hybrid Fuzzy MCDM Approach.

Computational intelligence and neuroscience
Quality cost framework (QCF), as a measurement tool and research method, has played a significant role on quality improvement procedure (QIP) and recognition on economics of quality. The four general QCFs are usually conceptually employed assist qual...

A new person-fit method based on machine learning in CDM in education.

The British journal of mathematical and statistical psychology
Cognitive diagnosis models have become popular in educational assessment and are used to provide more individualized feedback about a student's specific strengths and weaknesses than traditional total scores. However, if the testing data are contamin...

Generative adversarial networks for biomedical time series forecasting and imputation.

Journal of biomedical informatics
In the present systematic review we identified and summarised current research activities in the field of time series forecasting and imputation with the help of generative adversarial networks (GANs). We differentiate between imputation which descri...

A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning.

Sensors (Basel, Switzerland)
As an emerging artificial intelligence technology, federated learning plays a significant role in privacy preservation in machine learning, although its main objective is to prevent peers from peeping data. However, attackers from the outside can ste...

CNN-DDI: a learning-based method for predicting drug-drug interactions using convolution neural networks.

BMC bioinformatics
BACKGROUND: Drug-drug interactions (DDIs) are the reactions between drugs. They are compartmentalized into three types: synergistic, antagonistic and no reaction. As a rapidly developing technology, predicting DDIs-associated events is getting more a...

Simultaneous vehicle and lane detection via MobileNetV3 in car following scene.

PloS one
Aiming at vehicle and lane detections on road scene, this paper proposes a vehicle and lane line joint detection method suitable for car following scenes. This method uses the codec structure and multi-task ideas, shares the feature extraction networ...

A Novel Framework for Generating Personalized Network Datasets for NIDS Based on Traffic Aggregation.

Sensors (Basel, Switzerland)
In this paper, we addressed the problem of dataset scarcity for the task of network intrusion detection. Our main contribution was to develop a framework that provides a complete process for generating network traffic datasets based on the aggregatio...