A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Intelligent robotics in pediatric cooperative neurorehabilitation: a review

E Ezra Tsur, O Elkana - Robotics, 2024 - mdpi.com
The landscape of neurorehabilitation is undergoing a profound transformation with the
integration of artificial intelligence (AI)-driven robotics. This review addresses the pressing …

A content recommendation system for effective e-learning using embedded feature selection and fuzzy DT based CNN

L Antony Rosewelt… - Journal of Intelligent & …, 2020 - content.iospress.com
This paper proposes a new content recommendation system which combines the newly
proposed embedded feature selection method and the new Fuzzy Temporal Logic based …

Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes

S Ramesh, S Gomathi, S Sasikala… - International Journal of …, 2023 - Springer
Over the past decade, automatic speech emotion detection has been a great challenge in
the human–computer interaction area. Generally, individuals express their feelings explicitly …

An enhanced localization approach for energy conservation in wireless sensor network with Q deep learning algorithm

S Balachandran Nair Premakumari, P Mohan… - Symmetry, 2022 - mdpi.com
Wireless Sensor Networks (WSN) have distributed a collection of tiny sensor nodes
deployed randomly in the given symmetry environment to sense natural phenomena. The …

A Robust Fuzzy Fractional Order PID Design Based On Multi-Objective Optimization For Rehabilitation Device Control

I Zaway, R Jallouli-Khlif, B Maalej… - Journal of Robotics and …, 2023 - journal.umy.ac.id
Abstract In this context, Fuzzy Fractional Order Proportional Integral Derivative (FOPID-FLC)
controllers are emerged as efficient approaches due to their flexibility and ability to handle …

RETRACTED ARTICLE: IOT based statistical performance improvement technique on the power output of photovoltaic system

P Sivagami, NM Jothiswaroopan - Journal of ambient intelligence and …, 2021 - Springer
Green electricity gains emphasis not only due to technological progress but also because of
deployment of non-renewable energy resources and abundant of renewable energy …

Smart methodology for performance improvement of energy sources for home application

P Sivagami, NMJ Swaroopan - Microprocessors and Microsystems, 2020 - Elsevier
The integrated solar and wind serves as a major contributor's for clean electrification in
many nations. In this technical era energy crisis is primary issue due to depletion of …

[HTML][HTML] Artificial intelligence and machine learning approaches in cerebral palsy diagnosis, prognosis, and management: a comprehensive review

SD Balgude, S Gite, B Pradhan, CW Lee - PeerJ Computer Science, 2024 - peerj.com
Cerebral palsy (CP) is a group of disorders that alters patients' muscle coordination, posture,
and movement, resulting in a wide range of deformities. Cerebral palsy can be caused by …

Hybrid ABC-BAT optimization algorithm for localization in HWSN

B Nithya, J Jeyachidra - Microprocessors and Microsystems, 2021 - Elsevier
In this paper, a hybrid ABC-BAT optimization algorithm is designed for localization in
Heterogeneous Wireless Sensor Networks (HWSN). This algorithm combines the features of …