[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review

MO Ribas, M Micai, A Caruso, F Fulceri, M Fazio… - Neuroscience & …, 2023 - Elsevier
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 …

Recent advances of bat-inspired algorithm, its versions and applications

ZAA Alyasseri, OA Alomari, MA Al-Betar… - Neural Computing and …, 2022 - Springer
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 …

[Retracted] Taxonomy of Adaptive Neuro‐Fuzzy Inference System in Modern Engineering Sciences

S Chopra, G Dhiman, A Sharma… - Computational …, 2021 - Wiley Online Library
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 …

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 …

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 …

Discriminatory features based on wavelet energy for effective analysis of electroencephalogram during mental tasks

M Saini, U Satija, MD Upadhayay - Circuits, Systems, and Signal …, 2022 - Springer
Mental task categorization using single/limited channel (s) electroencephalogram (EEG)
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 …

WS-BiTM: Integrating White Shark Optimization with Bi-LSTM for enhanced autism spectrum disorder diagnosis

K Khan, R Katarya - Journal of Neuroscience Methods, 2025 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
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 …

Understanding autism: the power of EEG harnessed by prototypical learning

A Salekin, N Russo - Proceedings of the Workshop on Medical Cyber …, 2021 - dl.acm.org
Recent studies suggest that atypical neural function, due to atypical neural structure, is
associated with the behavioral symptoms of Autism Spectrum Disorder (ASD). Additionally …