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Now showing items 1291-1300 of 1787
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
(Tech Science Press, 2023)
Deep learning (DL) techniques, which do not need complex pre-processing and feature analysis, are used in many areas of medicine and achieve promising results. On the other hand, in medical studies, a limited dataset ...
A Novel Contour Tracing Algorithm for Object Shape Reconstruction Using Parametric Curves
(Tech Science Press, 2023)
Parametric curves such as Bézier and B-splines, originally developed for the design of automobile bodies, are now also used in image processing and computer vision. For example, reconstructing an object shape in an image, ...
Omicron: Emergence, Detection, and Response
(Nova, 2023)
COVID-19 pandemic emerged in December 2019, and it is still a global threat with quite a few variants. The B.1.1.529, Omicron, identified in South Africa in 2021, was one of the most notorious variants due to its high ...
MXenes and their composites as corrosion prevention
(De Gruyter, 2023)
MXene, an advanced metal-based 2D ceramic material family, has had a sig- nificant impact in the field of corrosion prevention due to its unique physicochemical properties. Due to the need for further advancement and ...
Quantitative Structure-activity Relationship (QSAR) in Studying the Biologically Active Molecules
(Bentham Books, 2023)
Recently, many new methods have been used in the research and development of a new drug. In this article, QSAR, which is one of the usable areas of artificial intelligence during molecule research, and the analysis and ...
Polymeric nanoparticles and their composites in corrosion inhibition
(De Gruyter, 2023)
Metal hardware is inherently prone to corrosion. Substantial research has been undertaken to explore to supersede this challenge. Initially, paints, pigments and organic coatings were utilized to circumvent metal corrosion. ...
The Potential of Medicinal and Aromatic Plants to Prevent Prostate Cancer
(Nova, 2023)
Medicinal and aromatic plants have been used in the prevention and treatment of diseases since ancient times. Today, they are used in the production of diverse commodities such as food, perfumery, cosmetics, medicine, ...
Deep learning prediction of motor performance in stroke individuals using neuroimaging data
(Elsevier Science Direct, 2023)
The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have ...
In vitro cytotoxic effects, in silico studies, some metabolic enzymes inhibition, and vibrational spectral analysis of novel β-amino alcohol compounds
(2023)
In this study, an efficient single-step method for the preparation of β-amino alcohols (1–3) in aqueous
media was applied. The aim was to investigate the cytotoxic activity of Compounds 1, 2 and 3 in neuroblastoma SH-SY5Y ...
Evaluation of rapid maxillary expansion or alternating rapid maxillary expansion and constriction on Eustachian tube function with audiological tests: A randomized clinical trial
(Elsevier, 2023)
Objectives: Maxillary expansion improves the hearing function. This trial aimed to examine the effects of
Eustachian tube function (ETF) with audiological tests in orthodontic patients who underwent rapid maxillary
expansion ...