[HTML][HTML] Contemporary role and applications of artificial intelligence in dentistry
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 …
sectors, including healthcare, engineering, sciences, and smart cities. AI has the potential to …
[HTML][HTML] Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
Electroencephalogram signal classification based on Fourier transform and Pattern Recognition Network for epilepsy diagnosis
Q Gao, AH Omran, Y Baghersad, O Mohammadi… - … Applications of Artificial …, 2023 - Elsevier
Epilepsy is a central nervous system (CNS) disorder that affects nerve cells in the brain and
produces seizures in which consciousness is lost. People with epilepsy have frequent …
produces seizures in which consciousness is lost. People with epilepsy have frequent …
A Novel Solution to the Time-Varying Lyapunov Equation: The Integral Dynamic Learning Network
In this article, a novel approach of utilizing an integral dynamic learning network (IDLN) is
presented for addressing a general time-varying Lyapunov matrix equation (TVLME). First, a …
presented for addressing a general time-varying Lyapunov matrix equation (TVLME). First, a …
Face mask detection using machine learning
MW Eladham, AB Nassif… - Real-Time Image …, 2023 - spiedigitallibrary.org
The COVID-19 epidemic forced governments to adopt worldwide lockdowns in order to limit
the virus's spread. Wearing a face mask, it is said, would reduce the possibility of …
the virus's spread. Wearing a face mask, it is said, would reduce the possibility of …
Machine Learning for Epilepsy: A Comprehensive Exploration of Novel EEG and MRI Techniques for Seizure Diagnosis
Purpose This work focuses on automated epileptic seizure diagnosis (ESD) and prediction
(ESP) to clarify the expanding role of machine learning (ML) in epileptic analysis. It outlines …
(ESP) to clarify the expanding role of machine learning (ML) in epileptic analysis. It outlines …
Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation
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 …
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …
Design car side impact using machine learning
In this paper, the design of vehicle door weight is minimized using a newly developed
machine learning algorithm that is referred to as Grey Wolf optimizer (GWO). GWO is a …
machine learning algorithm that is referred to as Grey Wolf optimizer (GWO). GWO is a …
Prediction for blood lactate during exercise using an artificial intelligence—Enabled electrocardiogram: a feasibility study
SC Huang, CH Lee, CC Hsu, SY Chang… - Frontiers in …, 2023 - frontiersin.org
Introduction: The acquisition of blood lactate concentration (BLC) during exercise is
beneficial for endurance training, yet a convenient method to measure it remains …
beneficial for endurance training, yet a convenient method to measure it remains …
Speech emotion recognition using one-dimensional convolutional neural networks
This paper performs speech emotion recognition on short voice messages lasting less than
three seconds, using one-dimensional convolutional neural networks. The Ravee dataset …
three seconds, using one-dimensional convolutional neural networks. The Ravee dataset …