Yayıncı "Elsevier Ltd" WoS İndeksli Yayınlar Koleksiyonu için listeleme
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Assessment of the antioxidant and ACE-inhibitory activities and some quality characteristics of Kaşar cheese produced by probiotic Lactobacillus acidophilus
(Elsevier Ltd, June 2024)In this study, four types of Kaşar cheese were produced using raw milk (C), starter culture (Streptococcus thermophilus and Lactobacillus delbrueckii ssp. bulgaricus) (S), starter culture + probiotic Lactobacillus acidophilus ... -
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ... -
Excessive groundwater withdrawal and resultant land subsidence in the Küçük Menderes River Basin, Turkey as estimated from InSAR-SBAS and GNSS measurements
(Elsevier Ltd, 2023)Küçük Menderes River Basin (KMRB) is located in the western part of Turkey in the city of İzmir. The basin hosts about half a million people and 90% of the population makes their living from farming and animal husbandry. ... -
Immunogenic evaluation of multi-epitope peptide-loaded PCPP microparticles as a vaccine candidate against Toxoplasma Gondii
(Elsevier Ltd, 2023)Toxoplasmosis is a major health problem and socioeconomic burden, affecting around 30–50% of the global population. Poly(dicarboxylatophenoxy)phosphazene (PCPP) polymer was chosen as adjuvant for the immunogenic peptide ... -
Influence of post processing on the mechanical properties and wear behavior of selective laser melted Co-Cr-Mo-W alloys
(Elsevier Ltd, 2024)In the study, the effect of laser energy density and post-processes (sintering, cold rolling, and hot rolling) on the properties of Co-Cr-Mo-W alloys fabricated by selective laser melting (SLM) are investigated. The samples ... -
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
(Elsevier Ltd, April 2024)A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters ... -
Investigation of dynamic responses of three-sided underpass culvert under near-fault and far-fault ground motions considering soil-structure interaction
(Elsevier Ltd, 2024)Three-sided underpass culverts are structural systems used to provide passing vehicle or pedestrian. It is of great importance that such infrastructure systems remain useable, especially after disasters such as earthquakes ... -
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 ... -
Optimization of multiple tuned mass dampers for a two-span continuous railway bridge via differential evolution algorithm
(Elsevier Ltd, 2022)The study aims at proposing a methodology for optimization of multiple tuned mass dampers (MTMD) in reducing the multi-resonance vibrations of continuous bridges due to moving train loads. The equations of motion for ... -
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
(Elsevier Ltd, July 2024)Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ... -
Sentiment analysis of financial Twitter posts on Twitter with the machine learning classifiers
(Elsevier Ltd, 2024)This paper presents a sentiment analysis combining the lexicon-based and machine learning (ML)-based approaches in Turkish to investigate the public mood for the prediction of stock market behavior in BIST30, Borsa Istanbul. ... -
Understanding university students WHO do not want to volunteer in disasters: A qualitative study from Türkiye
(Elsevier Ltd, 2023)A functional and sufficient volunteer community is needed to reduce the damage of disasters and to have a rapid response and recovery process. Most of the volunteering studies in disasters in the literature focus on the ...