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Toplam kayıt 155, listelenen: 31-40
Deep learning based semantic segmentation and quantification for MRD biochip images
(ELSEVIER SCI LTD, 2022)
Microfluidic platforms offer prominent advantages for the early detection of cancer and monitoring the patient
response to therapy. Numerous microfluidic platforms have been developed for capturing and quantifying the
tumor ...
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
(ELSEVIER, 2023)
Coronary artery disease (CAD) is a condition in which the heart is not fed sufficiently as a result of the accumulation of fatty matter. As reported by the World Health Organization, around 32% of the total deaths in the ...
Medical infrared thermal image based fatty liver classification using machine and deep learning
(TAYLOR & FRANCIS LTD, 2023)
Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an aggressive form of fatty liver disease ...
Role of inclusion size distribution of titanium dioxide on the nitrogen oxides reduction capability and microstructural characteristics of cementitious systems
(ELSEVIER SCI LTD, 2022)
This paper explores the effect of the inclusion size of titanium dioxide (TiO2) particles on a variety of performance properties of cementitious systems via experimental studies. In addition to comprehensive microstructu ...
Shell-shaped active layers for omnidirectional organic photovoltaic cells
(SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2022)
For the employment of organic photovoltaic cells in wearable electronic systems, improvements in energy conversion efficiency and omnidirectionality (angular coverage) are highly appreciated. This study aims at those ...
A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
(ELSEVIER, 2023)
In 2020 the world faced with a pandemic spread that affected almost everything of
humans’ social and health life. Regulations to decrease the epidemiological spread and
studies to produce the vaccine of SARS-CoV-2 were ...
Pre-concentration of Municipal Wastewater Using Flocculation-Assisted Direct Ceramic Microfiltration Process: Optimization of Operational Conditions
(SPRINGER INT PUBL AG, 2022)
Direct ceramic microfiltration (DCMF) is an effective technology to pre-concentrate organic matter (OM) for the subsequent anaerobic energy-recovering processes and a fast, cost-effective, easy treatment process for municipal ...
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)
In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic
management, increase human comfort, and enable future development of transport infrastructures. This paper
presents ...
Production and compatibility assessment of denitrifying biogranules tailored for self-healing concrete applications
(ELSEVIER SCI LTD, 2022)
Microbial granules have been mostly used for wastewater treatment. Recently, biogranules consisting nitratereducing microorganisms have appeared as a unique healing agent providing simultaneous self-healing of
cracks and ...
Split-attention effects in multimedia learning environments: eye-tracking and EEG analysis
(SPRINGER, 2022)
This study aimed to evaluate the split-attention effect in multimedia learning environments via objective measurements as EEG and eye-tracking. Two different multimedia
learning environments in a focused (integrated) and ...