Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/3
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Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections by Publisher "ACADEMIC PRESS INC ELSEVIER SCIENCE"
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Article Citation - WoS: 14Citation - Scopus: 18Determination of Effect of Some Parameters on Formation of 2-Monochloropropanediol, 3-Monochloropropanediol and Glycidyl Esters in the Frying Process With Sunflower Oil, by Using Central Composite Design(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021) Kalkan, Oktay; Topkafa, Mustafa; Kara, HüseyinThe formation of 3-monochloropropanediol (3-MCPD), 2-monochloropropanediol (2-MCPD) and glycidyl esters (GE) in sunflower oil frying processes were evaluated using central composite design (CCD) methodology.The parameters such as temperature, duration and salinity which caused the formation of 3-MCPD, 2-MCPD and GE species during frying operations were selected as variable parameters in central composite design. The number of formations in these conditions was determined by using the officially published AOCS method with GC-MS in SIM mode. The highest 3-MCPD (0.30 mg/kg), 2-MCPD (0.09 mg/kg) and GE (0.72 mg/kg) formations were observed in the hardest conditions with 40 min., 180 degrees C and 300 mg NaCl/ 100 mL for oil. The obtained results showed that the minimum 3-MCPD, 2-MCPD and GE formations were found to be the softest conditions. Considering the previous studies especially related to potato products on MCPD and GE formation,it was observed that 3-MCPD formed in low amounts in the frying process with sunflower oil (0.3 mg/kg)even in the harshest conditions than other fruit oils such as palm oil (1.920 mg/kg). The desirability function and the 3D plots suggested that optimum parameters were 40 min, 170 degrees C and 100 mg/100 mL for minimum MCPD and GE formations in the frying process.Article Error Performance of Df Cooperative Smts With I/Q Imbalance Over Beckmann Fading Channels(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2025) Canbilen, Ayşe Elif; Develi, Ibrahim; Gültekin, Seyfettin SinanThe direct down-conversion principle, which has generally been used in the design of multiple-input multiple- output (MIMO) schemes, including space modulation techniques (SMTs), is attractive to researchers because of its low cost, low power consumption with fewer components, flexible and simple structure. However, hardware imperfections such as in-phase (I) and quadrature-phase (Q) imbalance (IQI) negatively affect the performance of the systems with direct down-conversion in practice. On the other hand, cooperative communication is a promising technology that can be utilized in the design of future wireless networks due to its significant advantages such as increasing system reliability, extending network coverage, reducing channel degradation, and providing high quality of service. In this study, SMT-based methods are integrated into cooperative systems, and a flexible and comprehensive model is presented that is applicable to many channel structures. Specifically, the error performance analysis of space shift keying (SSK), spatial modulation (SM), and quadrature SM (QSM) systems in the presence of IQI in decode-and-forward (DF) cooperative communication is carried out by analytical derivations and computer simulations over generalized Beckmann fading channels. The obtained results show that the performance of SMT-based DF cooperative systems is superior to the conventional schemes, and the effects of receiver IQI can be eliminated by optimal detector designs.Article Citation - WoS: 25Citation - Scopus: 22A Phenyl Glycinol Appended Calix[4]arene Film for Chiral Detection of Ascorbic Acid on Gold Surface(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2019) Akpınar, Merve; Temel, Farabi; Tabakcı, Begüm; Özçelik, Egemen; Tabakcı, MustafaThis paper describes the synthesis of new chiral calix [4]arene derivative having (R)-2-phenylglycinol moiety (compound 6), and its chiral recognition studies for ascorbic acid (AA) enantiomers by using Quartz Crystal Microbalance (QCM). Initial experiments indicated that the outstanding selective chiral recognition (alpha) was observed as 2.61 for L-enantiomer of AA. The sensitivity (S) and the limit of detection (LOD) values for L-AA were calculated as 0.0226 Hz/mu M and 0.63 mu M, respectively. Furthermore, the sorption behavior and mechanism of AA onto compound 6 film were evaluated and the sorption data exhibited a good correlation with the Freundlich isotherm models. The maximum uptake of L-AA by the sensor was found as 5895.76 mg/g. In conclusion, chiral recognition of AA enantiomers as real-time, sensitive, selective and effective was performed by a calixarene derivative coated QCM sensor.Article Citation - WoS: 71Citation - Scopus: 98Residual Lstm Layered Cnn for Classification of Gastrointestinal Tract Diseases(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021) Öztürk, Şaban; Özkaya, Umutnowadays, considering the number of patients per specialist doctor, the size of the need for automatic medical image analysis methods can be understood. These systems, which are very advantageous compared to manual systems both in terms of cost and time, benefit from artificial intelligence (AI). AI mechanisms that mimic the decision-making process of a specialist increase their diagnosis performance day by day, depending on technological developments. In this study, an AI method is proposed to effectively classify Gastrointestinal (GI) Tract Image datasets containing a small number of labeled data. The proposed AI method uses the convolutional neural network (CNN) architecture, which is accepted as the most successful automatic classification method of today, as a backbone. According to our approach, a shallowly trained CNN architecture needs to be supported by a strong classifier to classify unbalanced datasets robustly. For this purpose, the features in each pooling layer in the CNN architecture are transmitted to an LSTM layer. A classification is made by combining all LSTM layers. All experiments are carried out using AlexNet, GoogLeNet, and ResNet to evaluate the contribution of the proposed residual LSTM structure fairly. Besides, three different experiments are carried out with 2000, 4000, and 6000 samples to determine the effect of sample number change on the proposed method. The performance of the proposed method is higher than other state-of-the-art methods.

