Autism

A Method for Real-Time Fault Detection of Liquid Rocket Engine Based on Adaptive Genetic Algorithm Optimizing Back Propagation Neural Network.

A real-time fault diagnosis method utilizing an adaptive genetic algorithm to optimize a back propagation (BP) neural network is intended to achieve real-time fault detection of a liquid rocket engine (LRE). In this paper, the authors employ an adaptive genetic algorithm to optimize a BP neural network, produce real-time predictions regarding sensor data, compare the projected value to the actual ...

Facial recognition accuracy in photographs of Thai neonates with Down syndrome among physicians and the Face2Gene application.

Down syndrome (DS) is typically recognizable in those who present with multiple dysmorphism, especially in regard to facial phenotypes. However, as the presentation of DS in neonates is less obvious, a phenotype-based presumptive diagnosis is more challenging. Recently, an artificial intelligence (AI) application, Face2Gene, was developed to help physicians recognize specific genetic syndromes by ...

Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network.

In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviation, aerospace, and electronics, especially automob...

Face-Based Attention Recognition Model for Children with Autism Spectrum Disorder.

UNLABELLED: Attention recognition plays a vital role in providing learning support for children with autism spectrum disorders (ASD). The unobtrusiven...

Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine.

OBJECTIVE: Autism spectrum disorder (ASD) is a neurodevelopmental condition with a heterogeneous phenotype. The role of biomarkers in ASD diagnosis ha...

Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations.

We propose a novel integrated framework that jointly models complementary information from resting-state functional MRI (rs-fMRI) connectivity and dif...

Combining Genetic Algorithms and SVM for Breast Cancer Diagnosis Using Infrared Thermography.

Breast cancer is one of the leading causes of mortality globally, but early diagnosis and treatment can increase the cancer survival rate. In this con...

Neural Network Optimal Routing Algorithm Based on Genetic Ant Colony in IPv6 Environment.

The traditional IPv6 routing algorithm has problems such as network congestion, excessive energy consumption of nodes, and shortening the life cycle o...

Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation.

Current understanding of the underlying molecular network and mechanism for attention-deficit hyperactivity disorder (ADHD) is lacking and incomplete....

Robot-assisted beating-heart surgery for atrial septal defect repair in a case of situs inversus totalis with dextrocardia.

BACKGROUND: This paper describes a case of a patient with situs inversus totalis (SIT) and dextrocardia in which robotic atrial septal defect (ASD) re...

Design of a Robotic Coach for Motor, Social and Cognitive Skills Training Toward Applications With ASD Children.

Socially assistive robots may help the treatment of autism spectrum disorder(ASD), through games using dyadic interactions to train social skills. Exi...

Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network.

Big data has brought a new round of information revolution. Faced with the goal of full coverage of audit and supervision, making full use of big data...

Construction and Validation of a Lung Cancer Diagnostic Model Based on 6-Gene Methylation Frequency in Blood, Clinical Features, and Serum Tumor Markers.

Lung cancer has a high mortality rate. Promoting early diagnosis and screening of lung cancer is the most effective way to enhance the survival rate o...

A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG.

Autism spectrum disorder (ASD) is a developmental disability characterized by persistent impairments in social interaction, speech and nonverbal commu...

Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning.

Cardiometabolic diseases are an increasing global health burden. While socioeconomic, environmental, behavioural, and genetic risk factors have been i...

Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging.

Children with autism spectrum disorder have impairments in emotional processing which leads to the inability in recognizing facial expressions. Since ...

Modeling and optimizing callus growth and development in Cannabis sativa using random forest and support vector machine in combination with a genetic algorithm.

Plant callus is generally considered to be a mass of undifferentiated cells and can be used for secondary metabolite production, physiological studies...

Pivotal Response Treatment with and without robot-assistance for children with autism: a randomized controlled trial.

Pivotal response treatment (PRT) is a promising intervention focused on improving social communication skills in children with autism spectrum disorde...

Robust diagnostic classification via Q-learning.

Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional i...

Robot-mediated interventions for teaching children with ASD: A new intraverbal skill.

Socially assistive robots (SAR) have the potential to impact therapies for Autism Spectrum Disorder (ASD) by supporting clinicians in increasing learn...