[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
Recent advances of bat-inspired algorithm, its versions and applications
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
[Retracted] Taxonomy of Adaptive Neuro‐Fuzzy Inference System in Modern Engineering Sciences
Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …
A machine learning-based method to identify bipolar disorder patients
J Mateo-Sotos, AM Torres, JL Santos… - Circuits, Systems, and …, 2022 - Springer
Bipolar disorder is a serious psychiatric disorder characterized by periodic episodes of
manic and depressive symptomatology. Due to the high percentage of people suffering from …
manic and depressive symptomatology. Due to the high percentage of people suffering from …
Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
K Rezaee - Computer Science Review, 2025 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
characterized by social communication challenges, repetitive behaviors, and restricted …
characterized by social communication challenges, repetitive behaviors, and restricted …
Discriminatory features based on wavelet energy for effective analysis of electroencephalogram during mental tasks
Mental task categorization using single/limited channel (s) electroencephalogram (EEG)
signals is crucial for designing portable brain–computer interface and neurofeedback …
signals is crucial for designing portable brain–computer interface and neurofeedback …
Optimized adaptive neuro fuzzy inference system (OANFIS) based EEG signal analysis for seizure recognition on FPGA
PB Indira, RD Krishna - Biomedical Signal Processing and Control, 2021 - Elsevier
The activities of the human brain can be affected due to certain neurological disorder called
seizure. Generally, the epileptic abnormalities can be identified by direct visual scanning …
seizure. Generally, the epileptic abnormalities can be identified by direct visual scanning …
WS-BiTM: Integrating White Shark Optimization with Bi-LSTM for enhanced autism spectrum disorder diagnosis
Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
marked by challenges in social communication, sensory processing, and behavioral …
marked by challenges in social communication, sensory processing, and behavioral …
A novel residual shrinkage block-based convolutional neural network for improving the recognition of motor imagery EEG signals
J Huang - International Journal of Intelligent Computing and …, 2022 - emerald.com
Purpose Recently, the convolutional neural network (ConvNet) has a wide application in the
classification of motor imagery EEG signals. However, the low signal-to-noise …
classification of motor imagery EEG signals. However, the low signal-to-noise …
Understanding autism: the power of EEG harnessed by prototypical learning
Recent studies suggest that atypical neural function, due to atypical neural structure, is
associated with the behavioral symptoms of Autism Spectrum Disorder (ASD). Additionally …
associated with the behavioral symptoms of Autism Spectrum Disorder (ASD). Additionally …