Abdallah M. A. Al-Tarawneh’s research while affiliated with Al-Ahliyya Amman University and other places

... More recently, there has been considerable discourse surrounding the implementation of activation functions and how they affect the efficacy of machine learning models [8]. Moreover, the advancing role of AI in leaps and bounds of education illustrates its significance in other domains such as the management of cloud computing resources [9]. Usage of Computational Intelligence in prognostics has been on the rise which enhances decision intelligence such as optimizing resource and system performance in the cloud [10]. ...

Reference:

Predictive and Reinforcement Learning-Based Framework for Cloud Resource Optimization

... The second stage concerned improving and altering the model by casual fairness in the process of training. Implemented in this study was Adversarial debiasing, which adds another component, the adversarial, to discourage deviations from fairness [33]. This way the model is trained to maximise the accuracy of prediction whilst minimising the effect that sensitive attributes have on the outcomes [34]. ...

Reference:

Framework for Fairness in Machine Learning using Detecting and Mitigating Bias in AI Algorithms

... Globally, the prevalence of mental health conditions is rising, necessitating innovative approaches to treatment [1]. Awareness of such conditions related to mental health has increased as a result of the recent technology revolution [2][3]. A neurological disability resulting from brain variations is recognized as autism spectrum disorder (ASD), dealing with limited interests, continuing and constrained behavior, and constant struggles with interpersonal relations. ...

Reference:

A Comparative Analysis of Brain Atlases and DNN-based Autism Spectrum Disorder Detection using IMPAC Dataset

... Moreover, significant challenges remain to be addressed, such as ensuring user engagement with digital interventions [9,10], resolving ethical issues related to data privacy and security [11,12], and establishing more robust, evidence-based approaches for practical implementation [9]. Against this backdrop, the present study conducted a nine-month follow-up investigation using a chatbot system similar to that described by Harada et al., examining how long-term use impacts professional identity formation and stress reduction among healthcare professionals. ...

Reference:

Effects of Long-Term Chatbot System Use on Healthcare Professionals' Professional Identity Formation and Stress: A Small-Scale Comparative Study

... Emerging therapies such as digital health solutions, including mobile apps and wearable devices for tracking and managing impulsive behaviors, and virtual reality-based cognitive training, are showing potential as complementary interventions for PG in PD [48][49][50][51]. These innovative approaches leverage technology to improve therapeutic engagement, enhance adherence to treatment protocols, and address cognitive and behavioral deficits in ways that can be tailored to patient-specific needs. ...

Reference:

Gambling Disorder in Parkinson’s Disease: A Scoping Review on the Challenge of Rehabilitation Strategies

... Refining predictions using a post-processing approach was achieved via methods such as Equalized Odds adjustment. This approach also ensures equality of false positive and false negative rates across different subgroups, an issue that was pervasive across all baseline models [48]. For example, if you consider the COMPAS data again, the 18% false positive rate for minorities brings it up closer to the majority group's false positive rate. ...

Reference:

Framework for Fairness in Machine Learning using Detecting and Mitigating Bias in AI Algorithms