AIMC Journal:
Scientific reports
Showing 1361 to 1370 of 5367 articles
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.
Scientific reports
Nov 29, 2024
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. For mass fundus image-based glaucoma classification, an improved automated computer-aided ...
Classification of melanoma skin Cancer based on Image Data Set using different neural networks.
Scientific reports
Nov 29, 2024
This paper aims to address the pressing issue of melanoma classification by leveraging advanced neural network models, specifically basic Convolutional Neural Networks (CNN), ResNet-18, and EfficientNet-B0. Our objectives encompass presenting and eva...
Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network.
Scientific reports
Nov 29, 2024
A mask identification and social distance monitoring system using Unmanned Aerial Vehicles (UAV) in the outdoors has been proposed for a health establishment. The above approach performed surveillance of the surrounding area using cameras installed i...
Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea.
Scientific reports
Nov 29, 2024
Early mortality after hemodialysis (HD) initiation significantly impacts the longevity of HD patients. This study aimed to quantify the effect sizes of risk factors on mortality using various machine learning approaches. A cohort of 3284 HD patients ...
The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.
Scientific reports
Nov 28, 2024
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and artificial intelligence neural networks. First, a personalized assessment and analysis of athletes' nut...
Enhancement and evaluation for deep learning-based classification of volumetric neuroimaging with 3D-to-2D knowledge distillation.
Scientific reports
Nov 28, 2024
The application of deep learning techniques for the analysis of neuroimaging has been increasing recently. The 3D Convolutional Neural Network (CNN) technology, which is commonly adopted to encode volumetric information, requires a large number of da...
Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations.
Scientific reports
Nov 28, 2024
Stroke is a neurological complication that can occur in patients admitted to the intensive care unit (ICU) for non-neurological conditions, leading to increased mortality and prolonged hospital stays. The incidence of stroke in ICU settings is notabl...
Improving the closing sequences of interaction between human and robot through conversation analysis.
Scientific reports
Nov 28, 2024
This study employs Conversation Analysis to create a recursive model that improves the quality of human-robot interaction. Our research goal is to create a dialogue robot that offers pleasant experiences for users, so they are willing to engage in re...
Cell quantification at the osteochondral interface from synchrotron radiation phase contrast micro-computed tomography images using a deep learning approach.
Scientific reports
Nov 28, 2024
Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocytes, and subchondral bone (SCB) containing osteocytes that interact with each other. In this study, we propose a new method for the three-dimensional (3...
Evaluation and prediction of the physical properties and quality of Jatobá-do-Cerrado seeds processed and stored in different conditions using machine learning models.
Scientific reports
Nov 28, 2024
The conservation of seed quality throughout storage depends on established conditions, monitoring, sampling and laboratory analysis, which are subject to errors and require technical and financial resources. Thus, machine learning techniques can help...
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