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Toplam kayıt 49, listelenen: 41-49
Preparation and characterization of activated carbons from Lemon Pulp for oxytetracycline removal
(Springer, 2023)
This study aims to remove oxytetracycline (OTC) that harms the ecosystem, with activated carbon (LPAC) obtained from Lemon Pulp (LP). Characterization and properties of LPAC were analyzed by Brunauer-Emmett-Teller (BET), ...
Optimization of complex coacervation parameters for the production of encapsulated black garlic using response surface methodology
(Wiley, 2023)
The purpose of this study was to optimize black garlic encapsulation parameters (core/coating ratio, extract concentration, and coacervate/maltodextrin [MD] ratio) using central composite design of the response surface ...
Friction Stir Welding of Aluminum in the Aerospace Industry: The Current Progress and State-of-the-Art Review
(MDPI, 2023)
The use of the friction stir welding (FSW) process as a relatively new solid-state welding technology in the aerospace industry has pushed forward several developments in different related aspects of this strategic industry. ...
Microwave Imaging Approach for Breast Cancer Detection Using a Tapered Slot Antenna Loaded with Parasitic Components
(MDPI, 2023)
In this paper, a wideband antenna is proposed for ultra-wideband microwave imaging applications. The antenna is comprised of a tapered slot ground, a rectangular slotted patch and four star-shaped parasitic components. The ...
Optimal design of transmitarray antennas via low-cost surrogate modelling
(Nature Research, 2023)
Over the recent years, reflectarrays and transmitarrays have been drawing a considerable attention due to their attractive features, including a possibility of realizing high gain and pencil-like radiation patterns without ...
Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
(Nature Research, 2023)
Accurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging ...
Evaluation of disease outbreak in terms of physico-chemical characteristics and heavy metal load of water in a fish farm with machine learning techniques
(Elsevier, 2023)
Diseases are quite common in fish farms because of changes in physico-chemical characteristics in the aquatic environment, and operational concerns, i.e., overstocking and feeding issues. In the present study, potential ...
Transfer learning for drug–target interaction prediction
(Oxford University Press, 2023)
MotivationUtilizing AI-driven approaches for drug-target interaction (DTI) prediction require large volumes of training data which are not available for the majority of target proteins. In this study, we investigate the ...
A New Shapley-Based Feature Selection Method in a Clinical Decision Support System for the Identification of Lung Diseases
(MDPI, 2023)
The aim of this study is to propose a new feature selection method based on the class-based contribution of Shapley values. For this purpose, a clinical decision support system was developed to assist doctors in their ...