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A review on the synthesis and development of alginate hydrogels for wound therapy
Y Cao, H Cong, B Yu, Y Shen - Journal of Materials Chemistry B, 2023 - pubs.rsc.org
Convenient and low-cost dressings can reduce the difficulty of wound treatment. Alginate gel
dressings have the advantages of low cost and safe usage, and they have obvious potential …
dressings have the advantages of low cost and safe usage, and they have obvious potential …
Emerging directions in green nanomaterials: synthesis, physicochemical properties and applications
Green nanomaterials, a combined outcome of the synergy of green nanotechnology and
green chemistry have unique structure-based properties and eco-friendliness, and thus …
green chemistry have unique structure-based properties and eco-friendliness, and thus …
Enrichment of chlorophyta growth via cerium oxide and utilized for hydrogen production via a hydrothermal gasification process
The growing interest in alternative fuels stems from the need to address energy security and
economic challenges. Hydrogen fuel is considered a promising solution due to its versatility …
economic challenges. Hydrogen fuel is considered a promising solution due to its versatility …
Potential of natural polymeric materials in pharmaceutics
Background Natural polymer comprise repeated structural units of macromolecules which
are connected by covalent bonds and are being employed in drug delivery systems. These …
are connected by covalent bonds and are being employed in drug delivery systems. These …
Peptide and protein delivery through acacia, tragacanth, and ghatti gum
S Jain, V Shah, M Doshi, R Vegada - Peptide and protein drug delivery …, 2024 - Elsevier
The most prevalent elements in biological cells are proteins and peptides. Like enzymes,
hormones, structural components, and immunoglobulin, they are active. Although peptides …
hormones, structural components, and immunoglobulin, they are active. Although peptides …
Improving accuracy in intelligent coronary heart disease diagnosis prediction model using support vector clustering technique compared over Xgboost classifier …
The goal of this project is to use support vector clustering to enhance the performance of a
coronary heart disease detection model in comparison to the aXgboost Classifier …
coronary heart disease detection model in comparison to the aXgboost Classifier …
Detection of fire in forest area using chromatic measurements by Sobel edge detection algorithm compared with Prewitt gradient edge detector
The primary purpose of this study is to evaluate the performance of the Sobel and Prewitt
edge detection systems in identifying the boundaries of fires and flames in forested …
edge detection systems in identifying the boundaries of fires and flames in forested …
An efficient system for leaf disease detection using SVM and KNN based classification for improved accuracy
GM Reddy, R Baskar - AIP Conference Proceedings, 2024 - pubs.aip.org
The primary goal of this study is to perform leaf disease diagnosis using K-Nearest
Neighbors classification (KNN) and compare its performance against that of Support Vector …
Neighbors classification (KNN) and compare its performance against that of Support Vector …
Innovative detection of lung cancer using decision tree classifier and comparison with K-nearest neighbor classifier
AP Kumar, P Jagadeesh - AIP Conference Proceedings, 2024 - pubs.aip.org
Aim-The aim of the study is to perform innovative detection of lung cancer using the Decision
Tree classifier and also comparing it with the K-Nearest Neighbor classifier. Materials and …
Tree classifier and also comparing it with the K-Nearest Neighbor classifier. Materials and …
Prediction of liver tumor segmentation using novel k-nearest neighbor and comparing with logistic regression algorithm for better accuracy
IP Kumar, MS Saravanan - AIP Conference Proceedings, 2024 - pubs.aip.org
The research aims to enhance liver tumour prediction using an unique K-Nearest Neighbor
(KNN) machine learning technique. Materials and Methods: The research employed 52 …
(KNN) machine learning technique. Materials and Methods: The research employed 52 …