[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 …
Deep hybrid learning for facial expression binary classifications and predictions
Image processing is a technique used for applying different operations to an image to
produce an improved image or extract relevant information. Image processing has multiple …
produce an improved image or extract relevant information. Image processing has multiple …
Deep DR: detection of diabetic retinopathy using a convolutional neural network
N Nasir, P Oswald, O Alshaltone… - 2022 Advances in …, 2022 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a consequence of diabetes that affects the back of the eye due
to excessive blood sugar levels. If left misdiagnosed and untreated, it might result in …
to excessive blood sugar levels. If left misdiagnosed and untreated, it might result in …
HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine
The strain on healthcare systems is growing dramatically due to the significant rise in
heterogeneous chronic disease incidence. Even though frequent patient monitoring is …
heterogeneous chronic disease incidence. Even though frequent patient monitoring is …
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 …
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 …
Classification of Photoplethysmography Signals using Ensemble Machine Learning
In this study, we proposed an ensemble model using neural networks and supervised
learning classifiers to predict blood pressure, along with seven basic classifiers, ie …
learning classifiers to predict blood pressure, along with seven basic classifiers, ie …
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 …
Dynamic modeling of photoacoustic sensor data to classify human blood samples
A Pérez-Pacheco, RG Ramírez-Chavarría… - Medical & Biological …, 2024 - Springer
The photoacoustic effect is an attractive tool for diagnosis in several biomedical applications.
Analyzing photoacoustic signals, however, is challenging to provide qualitative results in an …
Analyzing photoacoustic signals, however, is challenging to provide qualitative results in an …