AIMC Topic: Humans

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Extraction and Analysis of Foot Bone Shape Features Based on Deep Learning.

Computational and mathematical methods in medicine
With the rapid development of artificial intelligence, more and more researchers and research institutions begin to pay attention to the bone feature recognition field. Human bone movement is very complex, and human bone shape recognition technology ...

Ultrasound Evaluation of Pelvic Floor Function after Transumbilical Laparoscopic Single-Site Total Hysterectomy Using Deep Learning Algorithm.

Computational and mathematical methods in medicine
This study was aimed at investigating the ultrasound based on deep learning algorithm to evaluate the rehabilitation effect of transumbilical laparoscopic single-site total hysterectomy on pelvic floor function in patients. The bilinear convolutional...

Application of Higher Education Management in Colleges and Universities by Deep Learning.

Computational intelligence and neuroscience
The development of artificial intelligence (AI) has brought great convenience to people and has been widely used in the field of education. To monitor the classroom status of college students in real time and achieve the purpose of balanced distribut...

Clothing Design Style Recommendation Using Decision Tree Algorithm Combined with Deep Learning.

Computational intelligence and neuroscience
Most clothing recommendation methods have problems such as high resource consumption and inconsistent subjectively labeled clothing labels. Based on this, a multilabel classification algorithm based on deep learning (DL) theory is introduced, based o...

Research on Clustering Algorithm Based on Improved SOM Neural Network.

Computational intelligence and neuroscience
Clustering algorithm is a statistical method to study sample classification. With the rapid development of science and technology, people have higher and higher requirements for data classification, so there are more and more researches on clustering...

Effective Evaluation of Medical Images Using Artificial Intelligence Techniques.

Computational intelligence and neuroscience
This work is implemented for the management of patients with epilepsy, and methods based on electroencephalography (EEG) analysis have been proposed for the timely prediction of its occurrence. The proposed system is used for crisis detection and pre...

Machine-learning media bias.

PloS one
We present an automated method for measuring media bias. Inferring which newspaper published a given article, based only on the frequencies with which it uses different phrases, leads to a conditional probability distribution whose analysis lets us a...

Effect of robot's vertical body movement on its perceived emotion: A preliminary study on vertical oscillation and transition.

PloS one
The emotion expressions of social robots are some of the most important developments in recent studies on human-robot interactions (HRIs). Several research studies have been conducted to assess effective factors to improve the quality of emotion expr...

Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks.

PloS one
Stone artifacts are often the most abundant class of objects found in archaeological sites but their consistent identification is limited by the number of experienced analysts available. We report a machine learning based technology for stone artifac...

Long-term oncologic outcomes of robot-assisted versus open radical prostatectomy for prostate cancer with seminal vesicle invasion: a multi-institutional study with a minimum 5-year follow-up.

Journal of cancer research and clinical oncology
PURPOSE: This study aimed to compare the long-term oncological outcomes of robot-assisted radical prostatectomy (RARP) vs. open radical prostatectomy (ORP) in pathologically proven prostate cancer with seminal vesicle invasion (SVI).