[HTML][HTML] A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: Experiences from bangladesh

MJ Uddin, MM Ahamad, MN Hoque, MAA Walid… - Information, 2023 - mdpi.com
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 …

Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method

D Su, L Chen, X Du, M Liu, L Jin - Applied Soft Computing, 2023 - Elsevier
Convolutional neural networks have achieved impressive results in areas such as computer
vision tasks. Recently, more complex architectures have been designed that add additional …

[HTML][HTML] Art authentication with vision transformers

L Schaerf, E Postma, C Popovici - Neural Computing and Applications, 2023 - Springer
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 …

U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts

S Zottin, A De Nardin, E Colombi, C Piciarelli… - Neural Computing and …, 2024 - Springer
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 …

[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 …

[HTML][HTML] Analyzing cultural relationships visual cues through deep learning models in a cross-dataset setting

L Stacchio, A Angeli, G Lisanti, G Marfia - Neural Computing and …, 2023 - Springer
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 …

Prediction of color coordinates of cotton fabric dyed with binary mixtures of madder and weld natural dyes using artificial intelligence

A Haji, M Vadood - Fibers and Polymers, 2023 - Springer
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 …

[HTML][HTML] Heterogeneous ensemble for medical data classification

L Nanni, S Brahnam, A Loreggia, L Barcellona - Analytics, 2023 - mdpi.com
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 …

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 …

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 …