Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability
of a person's social communication. The significance of early diagnosing drew the attention …

Nowadays, class imbalance problem is one of the most important affairs among machine
learning and data mining researchers. In this problem, majority of the sample data are …

Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

Bank deposit is one of the vital issues for any financial institution. It is very challenging to
predict a customer if he/she can be a depositor by analyzing related information. Some …

Autism Spectrum Condition (ASD) is a notable psychological disorder that affects a human's
ability to communicate socially. The need of early diagnosis prompted researchers' attention …

Mental soundness is a condition of well-being wherein a person understands his/her
potential, participates in his or her community and is able to deal effectively with the …

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 …

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 …

This research presents an advanced methodology to enhance conflict measurement within
the Dempster–Shafer framework, integrating linguistic preferences and trust relationships for …

Depression leading to suicide has become a major concern in our society. It's high time to
investigate the reason behind it. As numerous people are expressing their concerns …