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Toplam kayıt 59, listelenen: 51-59
Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
(Springer Science and Business Media Deutschland GmbH, 2022)
Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because ...
Tectonic and structural characteristics of Erzurum and its surroundings (Eastern Turkey): a detailed comparison between different geophysical parameters
(SCIENTIFIC TECHNICAL RESEARCH COUNCIL TURKEY-TUBITAK, 2022)
The tectonic and structural properties of Erzurum and its surroundings have been investigated by evaluating the seismotectonic b -value, magnetic anomaly, edge detection analysis (total horizontal derivative (THDR) and ...
Breast cancer-related apps in Google Play and App store: evaluate their functionality and quality
(SPRINGER, 2022)
Aim This study aimed to evaluate the functionality and quality of breast cancer apps that can be accessed from Turkey. Methods In this study, a systematic search strategy was used to identify free mobile apps on breast ...
The Large Hadron–Electron Collider at the HL-LHC
(IOP Publishing Ltd, 2021)
The Large Hadron–Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a ...
Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process
(Elsevier Ltd, 2023)
In food production environments, the wrong powder material is occasionally loaded onto a production line which impacts food safety, product quality, and production economics. The aim of this study was to assess the potential ...
Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework
(Springer Nature, 2022)
The COVID-19 pandemic has underscored the necessity for strategic approaches to manage global catastrophes. This study argues that disaster risk management (DRM) is an essential approach to mitigate the impact of global ...
Effect of Lavender Oil on Preoperative Anxiety: Systematic Review and Meta-analysis
(Elsevier, 2024)
Purpose: Surgical interventions are known to induce anxiety in patients due to the associated risks and potential complications. Various methods are employed to alleviate preoperative anxiety. This study aimed to investigate ...
The effect of nonpharmacological interventions applied by nurses to intensive care patients on the duration of delirium: a meta-analysis study
(Springer Link, 2024)
Objective: It was aimed to determine the effect level of nonpharmacological methods applied by nurses to patients hospitalized in the intensive care unit on the duration of delirium.
Materials and methods: For this ...
Remote sensing and monitoring of water resources: A comparative study of different indices and thresholding methods
(Science Direct, 2024 May 2)
Water resources are essential for the ecological system and the development of civilization. Water is imperative factor for health preservation and sustaining various human activities, including industrial production, ...