[HTML][HTML] Contemporary role and applications of artificial intelligence in dentistry

T Bonny, W Al Nassan, K Obaideen… - …, 2023 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) technologies play a significant role and significantly impact various
sectors, including healthcare, engineering, sciences, and smart cities. AI has the potential to …

[HTML][HTML] A transfer learning evaluation of deep neural networks for image classification

N Abou Baker, N Zengeler, U Handmann - Machine Learning and …, 2022 - mdpi.com
Transfer learning is a machine learning technique that uses previously acquired knowledge
from a source domain to enhance learning in a target domain by reusing learned weights …

Internet of Things (IoT) in solar energy: a bibliometrics analysis and global publications trends

MN AlMallahi, W Al Nassan… - Energy Harvesting …, 2023 - spiedigitallibrary.org
With the modernization of cities, the concept of the Internet of Things (IoT) is gaining
popularity and becoming a vital source of smart developments. An added advantage of solar …

Sleep apnea detection based on ECG signals using discrete wavelet transform and artificial neural network

M Qatmh, T Bonny, F Barneih… - 2022 Advances in …, 2022 - ieeexplore.ieee.org
Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …

A convolutional neural network for seizure detection

O Kaziha, T Bonny - 2020 Advances in Science and …, 2020 - ieeexplore.ieee.org
In this paper, a software-based neural network is developed for the purpose of detecting
seizures from raw EEG signals. Detecting epileptic seizures manually is a long tedious …

A customized convolutional neural network for dental bitewing images segmentation

W Al Nassan, T Bonny, K Obaideen… - … on Electrical and …, 2022 - ieeexplore.ieee.org
Bitewing images are useful for recognizing the most common dental diseases, like tooth
decay and periodontal bone loss. Besides providing important details like the condition of …

An lstm model-based prediction of chaotic system: Analyzing the impact of training dataset precision on the performance

W Al Nassan, T Bonny, K Obaideen… - … on Electrical and …, 2022 - ieeexplore.ieee.org
The chaotic systems are crucial due to their spread applications in different fields. The
modeling and prediction of chaotic time series improved significantly with the recent …

[HTML][HTML] Exploring deep echo state networks for image classification: A multi-reservoir approach

EJ López-Ortiz, M Perea-Trigo, LM Soria-Morillo… - Neural Computing and …, 2024 - Springer
Echo state networks (ESNs) belong to the class of recurrent neural networks and have
demonstrated robust performance in time series prediction tasks. In this study, we …

VCI-LSTM: Vector Choquet integral-based long short-term memory

M Ferrero-Jaurrieta, Z Takáč… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Choquet integral is a widely used aggregation operator on 1-D and interval-valued
information, since it is able to take into account the possible interaction among data …

Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation

T Bonny, M Qatmh, K Obaideen… - Computer Methods in …, 2023 - Taylor & Francis
During sleep, some people experience breathing difficulties, leading to a condition known
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …