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Toplam kayıt 63, listelenen: 51-60
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 ...
Investigation of the Effect of Dual Ignition on the Exhaust Emissions of an SI Engine Operating on Different Conditions by Using Quasi-dimensional Thermodynamic Cycle Model
(Strojarstvo (Croatian Union of Mechanical Engineers and Naval Architects), 2009)
In the presented study, the effects of using dual-spark plug and variation of the spark plug location on the exhaust emissions of an SI engine operating in different conditions were investigated theoretically. A quasi-dimensional ...
INVESTIGATION ON TURKISH CONSUMERS’ ECOLOGICAL PURCHASING BEHAVIOURS ON CITIES BASIS IN TERMS OF THE DEMOGRAPHIC VARIABLES
(1ST INTERNATIONAL TURKEY & JAPAN ENVIRONMENT AND FORESTRY SYMPOSIUM, 2010)
With this study, it is aimed to inform about ecological products of all public and private sector administrators who offer products and services to Turkish consumers and also Turkish consumers in particular and also to ...
Quantifying the Effects of Forest Management Strategies on the Production of Forest Values: Timber, Carbon, Oxygen, Water, and Soil
(Environmental Modeling and Assessment, 2010)
Forest management practices alter forest structure quantified with ecosystem characteristics and values. In this paper, we utilized a forest management simulation model to assess the effects of three forest management ...
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 ...