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Toplam kayıt 19, listelenen: 11-19
Climate control of an smart greenhouse based on android
(Ieee, 2018)
Smart systems are systems used by new technologies that facilitate human life. Smart greenhouses have an important place in smart agriculture application. in this study, the amount of energy and water consumed for controlling ...
Avuç içi görüntüleri kullanarak gerçek zamanlı nabız sayımı
(Ieee, 2018)
In this study, real-time pulse counting was performed using palm images obtained from a standard webcam. the signals obtained from the real-time palm images taken from the webcam were subjected to various signal processing ...
Human-animal recognition in camera trap images
(Ieee, 2018)
Camera trap is an image sensor that is widely used in monitoring biodiversity, identifying and tracking species in natural life. in this study, we investigate human-animal distinction in image dataset obtained from camera ...
Sperm detection and analysis using feature description algorithms
(Ieee, 2019)
Computer aided sperm analysis (CASA) systems have been used in recent years to examine the mobility and morphology of human and animal sperm. While these systems detect sperm, they fail to detect more than one sperm image ...
An investigation of the factors that influence online learners' satisfaction with the learning experience
(Springer, 2023)
Online learning environments offer flexibility for learners who would like to study at a distance. However, research informs us that online learners are usually less likely to complete the learning experience and more ...
A novel framework for strength prediction of geopolymer mortar: Renovative precursor effect
(Elsevier, 2023)
Concrete is the most used building material today as it has many advantages due to its structure. Geopolymer composites could potentially replace concrete in the future due to the demands of the construction industry. The ...
Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition
(Springer, 2023)
Traditional computing architecture (Von Neumann) that requires data transfer between the off-chip memory and processor consumes a large amount of energy when running machine learning (ML) models. Memristive synaptic devices ...
ANOVA method reveals key factors influencing geopolymer strength: A comprehensive evaluation of input variables
(IEEE, 2023)
In this study, we present an ANOVA (Analysis of Variance) method conducted on a geopolymer dataset. The analysis focuses on evaluating the impact of various input variables, including OB, GW, FA, S, M, M/B, AGE, HEAT, SiO2, ...
Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases
(Wiley, 2024)
The promising results of ML (machine learning) methods in various disciplines have led to the frequent use of these methods in health fields such as disease diagnosis, personalized medicine, medical image-based diagnosis, ...