How artificial intelligence (AI) is used in aphasia rehabilitation: A scoping review

N Azevedo, E Kehayia, G Jarema, G Le Dorze… - Aphasiology, 2024 - Taylor & Francis
Background In recent years, artificial intelligence (AI) has become commonplace in our daily
lives, making its way into many different settings, including health and rehabilitation. While …

Identifying gaps in using artificial intelligence to support students with intellectual disabilities from education and health perspectives

FF Kharbat, A Alshawabkeh… - Aslib Journal of Information …, 2021 - emerald.com
Purpose Students with developmental/intellectual disabilities (ID/DD) often have serious
health issues that require additional medical care and supervision. Serious health issues …

Intuitionistic fuzzy dimensional analysis for multi-criteria decision making

L Pérez-Domínguez - Instituto de Ingeniería y Tecnología, 2018 - cathi.uacj.mx
Dimensional analysis, for multi-criteria decision making, is a math-ematical method that
includes diverse heterogeneous criteria into a single di-mensionless index. Dimensional …

Secure event-triggered distributed Kalman filters for state estimation over wireless sensor networks

A Mustafa, M Mazouchi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we analyze the adverse effects of cyber–physical attacks as well as mitigate
their impacts on the event-triggered distributed Kalman filter (DKF). We first show that …

An Approach using Certainty Factor Rules for Aphasia Diagnosis

G Konstantinopoulou, K Kovas… - 2019 10th …, 2019 - ieeexplore.ieee.org
Artificial Intelligence methods are frequently applied to medical domains assisting in various
tasks, like diagnosis. The implementation of corresponding intelligent systems is based on …

Distributed probabilistic fuzzy rule mining for clinical decision making

S Sharif, MR Akbarzadeh-T - Fuzzy Information and …, 2021 - ieeexplore.ieee.org
INTRODUCTION: With the growing size, complexity, and distributivity of databases,
efficiency and scalability have become highly desirable attributes of data mining algorithms …

Secure communication through multiagent system-based diabetes diagnosing and classification

K Tangod, G Kulkarni - Journal of Intelligent Systems, 2019 - degruyter.com
The main objective of the research is to provide a multi-agent data mining system for
diagnosing diabetes. Here, we use multi-agents for diagnosing diabetes such as user agent …