AIMC Topic: Humans

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Deep Learning-Based Surface Nerve Electromyography Data of E-Health Electroacupuncture in Treatment of Peripheral Facial Paralysis.

Computational and mathematical methods in medicine
This study was aimed at exploring the application value of electroacupuncture in the treatment of peripheral facial palsy using surface nerve electromyogram (EMG) image data based on deep learning. The surface nerve EMG recognition model was construc...

International Criminal Law Protection of Environmental Rights and Sentencing Based on Artificial Intelligence.

Journal of environmental and public health
Environmental problem is an international problem that transcends national boundaries and develops into regional and global environmental pollution and ecological problems. Facing the increasing environmental pollution, the international community ha...

Hyperspectral Image Analysis of Colon Tissue and Deep Learning for Characterization of Health care.

Journal of environmental and public health
Colon cancer is a disease characterized by the unusual and uncontrolled development of cells that are found in the large intestine. If the tumour extends to the lower part of the colon (rectum), the cancer may be colorectal. Medical imaging is the de...

Application of Fuzzy Clustering Model in the Classification of Sports Training Movements.

Computational intelligence and neuroscience
In order to accurately analyze the movements of sports training using artificial intelligence techniques, an improved fuzzy clustering model is proposed in this study. The fuzzy C-means is used to granulate the multilabel space, and the correlation d...

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...

Analysis and Correction of Wrong Technical Actions in Juvenile Sports Training Based on Deep Learning.

Computational intelligence and neuroscience
Scientific analysis of students' incorrect actions in class, as well as timely and effective correction, is frequently an important link in the PE process. At the same time, it is an important symbol for assessing a teacher's teaching level and quali...

Study on the Design and Optimization of Learning Environment Based on Artificial Intelligence and Virtual Reality Technology.

Computational intelligence and neuroscience
More than half of the universities have recently added advanced technical courses for their students. The specialised courses would be the backbone to keep the students' knowledge updated. In that case, artificial intelligence (AI) and virtual realit...

Short Sequence Chinese-English Machine Translation Based on Generative Adversarial Networks of Emotion.

Computational intelligence and neuroscience
With the steady growth of the global economy, the communication between countries in the world has become increasingly close. Due to its translation efficiency and other problems, the traditional manual translation has gradually failed to meet the cu...

Diagnostic accuracy of fluorescence flow-cytometry technology using Sysmex XN-31 for imported malaria in a non-endemic setting.

Parasite (Paris, France)
Malaria diagnosis based on microscopy is impaired by the gradual disappearance of experienced microscopists in non-endemic areas. Aside from the conventional diagnostic methods, fluorescence flow cytometry technology using Sysmex XN-31, an automated ...

Predicting first session working alliances using deep learning algorithms: A proof-of-concept study for personalized psychotherapy.

Psychotherapy research : journal of the Society for Psychotherapy Research
OBJECTIVE: The aim of this proof-of-concept study is to develop a predictive model based on deep learning algorithms to predict working alliances after the first therapeutic session and to provide a basis for clinical decisions.