[HTML][HTML] A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: Experiences from bangladesh
Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method
Convolutional neural networks have achieved impressive results in areas such as computer
vision tasks. Recently, more complex architectures have been designed that add additional …
vision tasks. Recently, more complex architectures have been designed that add additional …
[HTML][HTML] Art authentication with vision transformers
In recent years, transformers, initially developed for language, have been successfully
applied to visual tasks. Vision transformers have been shown to push the state of the art in a …
applied to visual tasks. Vision transformers have been shown to push the state of the art in a …
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts
Abstract Document Layout Analysis, which is the task of identifying different semantic
regions inside of a document page, is a subject of great interest for both computer scientists …
regions inside of a document page, is a subject of great interest for both computer scientists …
[HTML][HTML] DEML: drug synergy and interaction prediction using ensemble-based multi-task learning
Z Wang, J Dong, L Wu, C Dai, J Wang, Y Wen, Y Zhang… - Molecules, 2023 - mdpi.com
Synergistic drug combinations have demonstrated effective therapeutic effects in cancer
treatment. Deep learning methods accelerate identification of novel drug combinations by …
treatment. Deep learning methods accelerate identification of novel drug combinations by …
[HTML][HTML] Analyzing cultural relationships visual cues through deep learning models in a cross-dataset setting
To study the evolution of specific cultures and times different kinds of pictures could be
adopted. Family album photos may reveal socio-historical insights regarding those specific …
adopted. Family album photos may reveal socio-historical insights regarding those specific …
Prediction of color coordinates of cotton fabric dyed with binary mixtures of madder and weld natural dyes using artificial intelligence
In this study, cotton fabrics were dyed with different combinations of aluminum potassium
sulfate (eco-friendly mordant), besides weld and madder as natural dyes. Then, the L*, a …
sulfate (eco-friendly mordant), besides weld and madder as natural dyes. Then, the L*, a …
[HTML][HTML] Heterogeneous ensemble for medical data classification
For robust classification, selecting a proper classifier is of primary importance. However,
selecting the best classifiers depends on the problem, as some classifiers work better at …
selecting the best classifiers depends on the problem, as some classifiers work better at …
Geographical origin identification of ginseng using near-infrared spectroscopy coupled with subspace-based ensemble classifiers
H Chen, C Tan, Z Lin - Spectrochimica Acta Part A: Molecular and …, 2024 - Elsevier
Ginseng is a well-known traditional herbal medicine and the ginseng available on the
market may not actually be produced in a certain place as claimed. Traditional methods of …
market may not actually be produced in a certain place as claimed. Traditional methods of …
Improved ensemble based deep learning approach for sarcastic opinion classification
SU Maheswari, SS Dhenakaran - Multimedia Tools and Applications, 2024 - Springer
Sarcastic tweets or reviews confuse the public those who interested to buy the products from
online and prior know about the customer's opinion about the products. E-Commerce …
online and prior know about the customer's opinion about the products. E-Commerce …