Neurodiversity and inclusivity in the workplace: Biopsychosocial INTERVENTIONS FOR PROMOTING COMPETITIVE ADVAntage

P Hutson, J Hutson - Journal of Organizational Psychology, 2023 - articlearchives.co
Research has demonstrated that diverse teams perform better and are more creative and
innovative. As such, many firms in industry have established DEI programs, especially those …

Classification of autistic and normal children using analysis of eye-tracking data from computer games

S Aminoleslami, K Maghooli, N Sammaknejad… - Signal, Image and Video …, 2023 - Springer
With the increasingly growing incidence of autism disorder, the early diagnosis of this
disorder is of utmost importance. The appropriate diagnosis of this condition depends on the …

Machine learning techniques for autism spectrum disorder: current trends and future directions

K Khan, R Katarya - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
ASD or autism spectrum disorder is a critical neuro-developmental disorder that hinders an
individual's capability of social communication and interaction. This disorder has acquired …

Impact of fuzziness for skin lesion classification with transformer-based model

I Yasmin, S Sultana, SJ Begum… - 2023 International …, 2023 - ieeexplore.ieee.org
Skin lesion is one of the most commonly encountered illnesses that need to be detected and
treated at an early stage. Numerous Convolutional Neural Network (CNN) classifiers were …

Fuzziness based semi-supervised deep learning for multimodal image classification

A Asma, DN Mostafa, K Akter, M Mahmud… - … Conference on Machine …, 2022 - Springer
Predicting a class or label of text-aided image has practical application in a range of
domains including social media, machine learning and medical domain. Usually, supervised …

A hybrid classification technique using belief rule based semi-supervised learning

I Newaz, MK Jamal, FH Juhas… - 2022 25th International …, 2022 - ieeexplore.ieee.org
An advancement in the paradigm of machine learning has been acclaimed by the arrival of
semi-supervised learning. In real life, it is challenging to get enough labeled samples. On …

Stock price prediction using semi-supervised ridge regression

MJA Patwary, MJ Karim, SI Hamim, M Sifath… - International Conference …, 2022 - Springer
Stock price prediction is the technique of predicting the future values of a stocks or other
financial instruments traded on any exchange. Stock price prediction using machine …

A Novel Analysis and Detection of Autism Spectrum Disorder in Artificial Intelligence Using Hybrid Machine Learning

R Prabha, J Nithyashri, I Thamarai… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
Heart Disease or Cardiovascular Disease refers to the range of heart conditions like cardiac
arrest, coronary artery disease. Heart disease can be very well hindered through certain …

A Framework for Identifying the Learners' Engagement in E-learning Environments Using a Hybrid CNN Architecture

TN Anny, JI Chowdhury, T Ahsan… - 2023 International …, 2023 - ieeexplore.ieee.org
In the realm of online education, precise identification of the participants and their
engagement is critical for optimal learning results. With the aim of precisely monitoring …

[PDF][PDF] A computational intelligent analysis of autism spectrum disorder using machine learning techniques

MA Mareeswaran, K Selvarajan - Int J Artif Intell, 2024 - researchgate.net
Children between the ages of 12 and 24 months who have autism spectrum disorder (ASD)
experience abnormalities in the brain that result in undesirable symptoms. Children with …