Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques
RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023 - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …
children and adults. An important aspect of social communication is keeping eye contact …
Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm
Y Tang, Q Dai, M Yang, T Du, L Chen - International Journal of Machine …, 2023 - Springer
Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …
researchers, which aims to erect a software defect prediction model according to historical …
Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network
B Li, M Liao, J Yuan, J Zhang - Journal of Retailing and Consumer Services, 2023 - Elsevier
Predicting consumption behavior is very important for adjusting supplier production plans
and enterprise marketing activities. Conventional statistical methods are unable to …
and enterprise marketing activities. Conventional statistical methods are unable to …
[HTML][HTML] An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder
Abstract Autistic Spectrum Disorder (ASD) is a neurological disease characterized by
difficulties with social interaction, communication, and repetitive activities. While its primary …
difficulties with social interaction, communication, and repetitive activities. While its primary …
Identification of autism spectrum disorder based on electroencephalography: A systematic review
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized
by difficulties in social communication and repetitive and stereotyped behaviors. According …
by difficulties in social communication and repetitive and stereotyped behaviors. According …
Brent crude oil price forecast utilizing deep neural network architectures
Brent crude oil is considered as one of the most important sources of crude oil pricing in the
worldwide market, and it is used to set the price of two‐thirds of the traded crude oil supplies …
worldwide market, and it is used to set the price of two‐thirds of the traded crude oil supplies …
Hybrid techniques of facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
[HTML][HTML] A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks
AM Durán-Rosal, A Durán-Fernández… - Applied Soft …, 2023 - Elsevier
Abstract Randomized-based Feedforward Neural Networks approach regression and
classification (binary and multi-class) problems by minimizing the same optimization …
classification (binary and multi-class) problems by minimizing the same optimization …
Autism spectrum disorder classification using Adam war strategy optimization enabled deep belief network
Autism spectrum disorder (ASD) is a brain disorder caused by dysfunction in the brain. ASD
patients have social interaction and communication problems that are determined by …
patients have social interaction and communication problems that are determined by …
An Industrial load classification method based on a two-stage feature selection strategy and an improved MPA-KELM classifier: a Chinese Cement Plant Case
M Zhou, Z Zhu, F Hu, K Bian, W Lai - Electronics, 2023 - mdpi.com
Accurately identifying industrial loads helps to accelerate the construction of new power
systems and is crucial to today's smart grid development. Therefore, this paper proposes an …
systems and is crucial to today's smart grid development. Therefore, this paper proposes an …