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Koleksiyondaki öğeler
- BildiriYalnız künye2020Scopus SJRQ4Sliding mode control for a quadrotor UAV transporting a cable-suspended payload
Bingöl, Özhan; Güzey, Haci Mehmet
In this study, a second-order sliding mode control (2-SMC) strategy has been developed to control a small quadrotor UAV with a suspended payload. It is shown that the existence of a load will cause an oscillation on the system and its movement will remarkably change the dynamics of the quadrotor. In order to overcome this, an upgraded 2-SMC has been suggested to ensure the stability of the system. Firstly, the mathematical model of the quadrotor-suspended payload system is derived based on Lagrange approach, then the suggested controller is designed, and the stability of the system is proved by Lyapunov theory. Finally, numerical simulations are carried out to demonstrate the robustness of the proposed method.
AtıfScopus3OpenAlex4
İncele - MakaleYalnız künye2020Scopus SJRQ2Effect of indentation loading type on the mechanical properties of advanced high strength steel grade DP 800
Ekmekci, Dursun; Cora, Ömer Necati
The goal of this study was to acquire mechanical properties of a dual-phase grade advanced high strength steel (AHSS) by means of different microindentation loading conditions. Conventional, cyclic, and multi-step indentations were performed on DP 800 sample; and Young’s modulus, hardness values were obtained by the depth-sensing indentation technique. Effects of different load levels (50–300 mN) and type of indentation on the results were also analyzed through ANOVA. The load levels experimented yielded overall material response rather than its constituents (e.g., martensite and ferrite). Both hardness and Young’s modulus tend to decrease with increasing maximum indentation load level, especially from 50 to 100 mN, which is regarded as indentation size effect.
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İncele - MakaleYalnız künye2022Scopus SJRQ3Roza: a new and comprehensive metric for evaluating classification systems
Melek, Mesut; Melek, Negin
Many metrics such as accuracy rate (ACC), area under curve (AUC), Jaccard index (JI), and Cohen’s kappa coefficient are available to measure the success of the system in pattern recognition and machine/deep learning systems. However, the superiority of one system to one other cannot be determined based on the mentioned metrics. This is because such a system can be successful using one metric, but not the other ones. Moreover, such metrics are insufficient when the number of samples in the classes is unequal (imbalanced data). In this case, naturally, by using these metrics, a sensible comparison cannot be made between two given systems. In the present study, the comprehensive, fair, and accurate Roza (Roza means rose in Persian. When different permutations of the metrics used are superimposed in a polygon format, it looks like a flower, so we named it Roza.) metric is introduced for evaluating classification systems. This metric, which facilitates the comparison of systems, expresses the summary of many metrics with a single value. To verify the stability and validity of the metric and to conduct a comprehensive, fair, and accurate comparison between the systems, the Roza metric of the systems tested under the same conditions are calculated and comparisons are made. For this, systems tested with three different strategies on three different datasets are considered. The results show that the performance of the system can be summarized by a single value and the Roza metric can be used in all systems that include classification processes, as a powerful metric.
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İncele - MakaleYalnız künye2020Scopus SJRQ2Degradation kinetics of bioactive compounds and antioxidant activity in strawberry juice concentrate stored at high and low temperatures
Menevseoglu, Ahmed; Dıblan, Sevgin; Türkyılmaz, Meltem; Özkan, Mehmet
In this study, changes in ascorbic acid (AA), phenolics, anthocyanins (ACNs) and antioxidant activity (AOA) were monitored during storage at − 25, 4, 10 and 20 °C to observe the stability of bioactive compound in strawberry juice concentrates (SJCs). Half-life periods (t1/2) for ACN and AA degradations were 7.9 and 50 days at 20 °C, respectively. On the contrary, much higher t1/2 values were found for the reduction in AOA and phenolics, i.e. 251 and 430 days at 20 °C, respectively. AOA and phenolics were more stable during storage than AA and ACNs. p-Coumaric acid was the major phenolic identified in SJC. p-coumaric acid (33.8%), catechin (23.1%), vanilic acid (18.6%) and epicatechin (16.1%), which constituted 91.6% of phenolics in SJC, followed by chlorogenic acid (4.9%) and caffeic acid (3.2%). Chlorogenic acid was the least stable phenolic in SJC stored at 20 °C. Strong correlations were found between AOA and ACNs (r = 0.99), phenolics (r = 0.94) and AA (r = 0.92) in SJC stored at 20 °C. Significant ACN and AA degradations occurred at storage temperature as low as 4 °C. Therefore, storage at − 25 ℃ was suggested for SJC to maximize the stabilities of especially ACNs and AA in SJC.
AtıfScopus19WoS17OpenAlex17İncele - MakaleYalnız künye2021Scopus SJRQ1Analysis of relationships between nanotechnology applications, mineral saving and ecological footprint: Evidence from panel fourier cointegration and causality tests
Koç, Pınar; Gülmez, Ahmet
Analyzing the relationship between nanotechnology applications, mineral saving, and environmental degradation is important to achieve sustainable development goals. However, in the literature, no study empirically examines the interaction among nanotechnology applications, mineral saving, and environmental degradation. This study addresses this significant gap in the literature by investigating the impacts of nanotechnology applications on mineral saving and the ecological footprint in 9 countries (Australia, Canada, China, France, Japan, Korea, Russia, Sweden, and the USA) in the period 1990–2017 using the combined panel fourier fractional cointegration and panel fractional fourier causality test. According to the causality test results based on group statistics, there is a Granger causality from nanotechnology applications to mineral saving. Also, there is causality from mineral saving to ecological footprint. The estimations of the causality based on individual statistics show no causality linkage between nanotechnology applications and mineral saving in the countries, excluding Australia and France. Canada, China, France, and Sweden are countries with unilateral causality from nanotechnology applications to ecological footprint. In the other countries, except China, Japan, and the USA, mineral saving doesn't Granger cause ecological footprint. The long-run findings show a positive impact of nanotechnology applications on mineral saving and ecological footprint. These findings are valid for all countries. In this context, it can be concluded that nanotechnology applications are essential for resource-saving. But, to save resources, the authorities should focus on controlling and measuring nanoparticle emissions.
AtıfScopus10WoS8OpenAlex11İncele - Kitap BölümüYalnız künye2021The effect of covid-19 pandemic on solidarity culture in Turkey
Kose, Asli
COVID-19 outbreak has become important problem of the World in 2020. World Health Organization accepted COVID-19 outbreak a pandemic on March 11, 2020. With the pandemic workplaces closed and production decreased. COVID-19 pandemic is affecting Turkey socially and economically as it is affecting many countries in global health. In Turkey, it is determined the first corona virus cases in March 2020. It may have some negative economicial, educational, agricultural and public health effects. This study includes a content that evaluates the adversities of the COVID-19 pandemic affecting social assistance. Social assistances are usually planned by central governments and implemented by local governments. Municipalities, one of the local governments, are one of the important institutions in delivering social assistances to the puclic. Central goverment and local goverments tried to support the public with social benefits by using different resources in COVID-19 pandemic. In this process, the culture of solidarity came to the fore. Turkey is experiencing the most beautiful examples of solidarity culture of the country in location. The world has also contributed positively to its image in addition to creating social benefits with the helth aids provided. The need for social assitances is excepted to increase in the face the consequences of the crisis in the future period. This situation will increase the need of public institutions for governance.
- MakaleAçık Erişim2021Scopus SJRQ2The relationship between anxiety levels and anger expression styles of nurses during COVID-19 pandemic
Bayrak, Nurten Gülsüm; Uzun, Sevda; Kulakaç, Nurşen
Objective: This study was carried out in a cross-sectional and correlational design to explore the relationship between anxiety levels and anger expression styles of nurses during the COVID-19 pandemic. Methods: The sample of this cross-sectional and correlational type of study consisted of 618 nurses calculated with the snowball sampling method. The data were collected using a questionnaire developed by the researchers, the state anxiety inventory, and the trait anger and anger expression scale and was conducted between May 10 and 20, 2020 using an online questionnaire form. Percentage, mean, standard deviation, the Mann–Whitney U test, Kruskal–Wallis test, Spearman correlation analysis, and multiple linear regression analysis were used to evaluate the data. Results: The mean age of nurses was 34.98 ± 8.36 years (min: 20; max: 53), 87.4% were women, and 81.7% experienced a high level of anxiety. The anger scores of the participants were found to be 20.04 ± 4.43, the anger-in score was 15.55 ± 3.34, the anger-out score was 14.01 ± 2.87, and the anger control score was 22.93 ± 3.6. Being married, the presence of chronic disease, living in the Marmara region, working shifts, presence of an individual over 65 years of age at home, and having a COVID-19 test were found to be risk factors that significantly increase nurses' anxieties. A significant positive relationship was found between the anxiety scores, trait anger (r = 0.249, p = 0.000), anger-in (r = 0.174, p = 0.000) and anger-out (r = 0.205, p = 0.000) scores of nurses, and a significant negative relationship was found between the anxiety scores and anger control (r = 0.249, p = 0.000) score. Conclusion: The study revealed that in the COVID-19 pandemic the anxiety levels of the nurses were high and that the high anxiety level negatively affected the style of anger expression, but the nurses were successful in maintaining anger control. In line with these results, it is important that nurses develop effective coping strategies to reduce their anxiety levels and that they receive increased levels of support in managing anger expression.
AtıfScopus14WoS12OpenAlex20İncele - MakaleYalnız künye2020Scopus SJRQ1Symbiotic Organisms Search Algorithm for multilevel thresholding of images
Küçükuğurlu, Büşranur; Gedikli, Eyüp
Thresholding is a frequently used method in image processing because of its consistency and low computational cost. Otsu's and Kapur's methods are two important techniques that were proved to be best thresholding methods. However, they have high computational complexity when extended to multilevel thresholding because of their exhaustively search. Recently, meta-heuristic algorithms have been successfully applied for thresholding problems. In this study, six different meta-heuristic algorithms based on Otsu's and Kapur's functions; Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Symbiotic Organisms Search (SOS), Artifical Bee Colony (ABC), Genetic Algorithm (GA) and grey Wolf Optimizer (GWO) were used for multilevel thresholding problem and compared. Experimental results suggest that SOS, PSO and FA algorithms often have higher fitness values than other algorithms. Especially when more than two threshold values are determined, SOS algorithm mostly gives higher fitness values. PSNR and SSIM results of the algorithms are similar. In terms of computational complexity, the GWO algorithm has the fastest convergence. For standard deviations of objective functions; more stable results were obtained with SOS based on Kapur's function, SOS and PSO based on Otsu's function. Also, SOS based on Kapur's function was found to be the most successful algorithm in the Friedman test. As a result, although the GWO approached faster, the SOS algorithm produced more consistent results for both objective functions.
AtıfScopus36WoS24OpenAlex36İncele - Kitap BölümüYalnız künye2019Postmodern political perspective
Celik, Hasan Bozkurt
- MakaleYalnız künye2023Scopus SJRQ1Excessive groundwater withdrawal and resultant land subsidence in the Küçük Menderes River Basin, Turkey as estimated from InSAR-SBAS and GNSS measurements
Yalvaç, Sefa; Alemdağ, Selçuk; Zeybek, Halil İbrahim; Yalvaç, Murat
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. Most of the water needs for agricultural irrigation, animal husbandry, and drinking are met from groundwater resources in the basin. Since the water pumped from the aquifers cannot be naturally recharged by surface waters and precipitation, the groundwater level is rapidly receding and a decrease of up to 150 meters has been observed in the historical groundwater level time series since the 1990s. For this reason, land subsidence occurred in the basin and as a result of this, crustal surface cracks have formed and infrastructure and superstructure facilities have been endangered. To prevent loss of life and property that may occur in the future, it has become necessary to estimate the magnitude and the expansion zone of the land subsidence by carrying out geodetic monitoring studies in the region. In this study, the analyzes performed by Interferometric Synthetic Aperture Radar-Small Baseline Subset (InSAR-SBAS) and Global Navigation Satellite System (GNSS) methods to monitor land subsidence in the KMRB are presented. For this purpose, monthly 74 SAR images from 2017 to the end of 2022 were evaluated according to the SBAS procedure in the GMTSAR academic analysis software. In order to, both validate the InSAR-SBAS results and convert the deformation rate in the Line of Sight (LOS) to the ellipsoid normal direction, 3 periods of GNSS campaign were performed between 2021 and 2023 in 5 different GNSS stations and evaluated with the GAMIT/GLOBK software. According to the analyses, the land subsidence rate of up to −165 mm/year has been estimated in the KMRB, especially in the district centers of Bayındır and Ödemiş. In addition, unlike many studies, different rates and propagation of subsidence were determined in different parts of the basin depending on the aquifer type and precipitation. Monthly time series of the deformations were created and the behavior of the deformations and its relationship with the groundwater withdrawal and the lithological structure in the region was scrutinized. Thus, the spatio-temporal behaviour of the land subsidence and the associated geological factors were revealed.
AtıfScopus13WoS11OpenAlex11İncele - MakaleYayıncıda açık erişim2023Scopus SJRQ3HOW PRO-ENVIRONMENTAL AND SAVING BEHAVIOURS DETERMINE ORGANIC PRODUCT AND SECOND-HAND PRODUCT PURCHASE INTENTIONS: A STUDY IN TURKEY; [Kako prookolišno i štedljivo ponašanje određuju namjeru kupnje organskih i rabljenih proizvoda: istraživanje u Turskoj]
Avci, Ibrahim
The study focuses on sustainable consumption, which has recently gained popularity. The study seeks to ascertain the effects of pro-environmental behaviour and saving behaviour, both of which are constructs of sustainable consumption behaviour, on the organic and second-hand product purchase intention. Convenience sampling method was used in the collection of data, in which any consumer could participate, and the data were collected with a prepared online questionnaire. According to the findings of the study conducted on 595 Turkish consumers, pro-environmental behaviour and saving behaviour have positive effects on second-hand product purchase intentions, while pro-environmental behaviour has a positive effect on organic product purchase intention and saving behaviour has a negative effect on it. These findings make significant contributions to the literature and practice of sustainable consumption.
AtıfScopus2WoS1OpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ1Understanding university students WHO do not want to volunteer in disasters: A qualitative study from Türkiye
Demirbilek, Ömer; Öztürk, Serkan
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 positive side of the volunteering process, but there are many negative points that prevent individuals from volunteering in disasters. In this research, it is aimed to discover why university students, who are one of the most valuable groups in volunteering in disasters, do not volunteer in disasters. The research was conducted with a phenomenological design. Maximum variation and criterion sampling were used to decide the study group. The study group consists of thirteen university students with distinctive characteristics. The interview method was used as the data collection technique, and the semi-structured interview form developed by the researchers was used as the data collection tool. Thematic analysis was conducted with the MAXQDA 2020 qualitative analysis program on the obtained data. As a result of the data analysis, seven themes appeared, consisting of İnformation, Economy, Interpersonal Bonds, Uncertainties, Individual Characteristics, Perceptions of Volunteering, Promotion and Advertising Activities. Finding the negative aspects of volunteering that distracts young people from volunteering will be one of the best preparations for future disasters.
AtıfScopus7WoS2OpenAlex10İncele - MakaleYalnız künye2022Scopus SJRQ1Optimization of multiple tuned mass dampers for a two-span continuous railway bridge via differential evolution algorithm
Araz, Onur; Kahya, Volkan
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 time-domain analysis are derived for obtaining train-induced vibrations of a two-span continuous railway bridge with equipped MTMD-1 and MTMD-2 devices when the vehicle-bridge interaction (VBI) is considered. The bridge and the train are modeled as a Bernoulli-Euler beam with constant section and a series of moving sprung masses of identical length, respectively. To reduce the multiple resonance vibrations of a two-span continuous railway bridge, the MTMD-1 and MTMD-2 are tuned to the first mode and the second mode of the bridge, and they are attached to the midspan of each span, respectively. The optimum parameters of the both MTMD systems are investigated using the differential evolution (DE) method. The criterion chosen to obtain the optimum parameters is the minimization of the first two resonance peaks of the bridge. The influence of the different mass ratios and the number of TMD units in the MTMD system on the optimum parameters of the both MTMD systems and corresponding displacement responses of the bridge are also investigated. The results show that the VBI effect does not have much effect on the resonant train speeds and the control performance of TMDs. Therefore, the optimum parameters of TMDs can be obtained quickly by modeling the train as a series of moving forces for the vibration control of railway bridges.
AtıfScopus33WoS32OpenAlex33İncele - MakaleYalnız künye2022Scopus SJRQ1Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform
Ustubioglu, Beste; Küçükuğurlu, Büşranur; Ulutas, Guzin
Copy-move forgery is one of the most widely used methods in the field of audio forensic because it is difficult to detect and convenient to apply. However, post-processing operations applied to forged speech to hide traces of forgery make detection of forensic more difficult. In this study, we propose a robust method for detection and localization of the audio copy-move forgery using modified discrete cosine transform (MDCT). For this purpose, we first divide the speech recording into voiced and unvoiced parts by extracting a pitch sequence from the speech recording. After the determination of voiced parts, we extract MDCT coefficients from them and take the mean of the transpose of the coefficient matrix as the feature. These MDCT features are very robust against commonly used post-processing operations (especially audio compressing). Euclidean distance (ED) is applied to compute the similarities between the features. The voiced parts, which give minimum ED are determined as copy-move audio parts. Also, two separate databases (Pitch-based and Voice Activity Detection (VAD-based) are created during the work to evaluate the performance of the proposed method because there is no common database in the field of audio forensic in the literature. Experiment results show that the proposed method gives better results for detection and localization of audio copy-move forgery on different databases compared to other studies in the literature. The proposed method is also robust against common post-processing operations such as noise addition, filtering operation, and especially compression operation.
AtıfScopus22WoS17OpenAlex23İncele - BildiriYalnız künye2023Recoil Stabilization of Two-Wheeled Robot Through Control Moment Gyroscope (CMG)
Unker, Faruk
In this study, the weapon and gyroscopes mounted on the armored two-wheeled robot have been studied for controlling recoil dynamics. To date, the interaction between recoil energy and control moment gyroscope (CMG) has not been investigated for a two-wheeled robot. Therefore, this study will be interesting academic research in the dynamic response and control strategy of a CMG subjected to recoil impulsive loads resulting from firing the weapon. The first aim of this study is to maintain the stabilization of the robot within the CMG limits when subjected to impulsive loads without needing the allowable stroke as being for a hydraulic damper. Equations of motion and the correlation between the shot recoil and angular momentum are derived by the Lagrangian method and simulated by Matlab. Then RecurDyn model of the two-wheeled robot is used to control and analyze dynamic parameters under applied recoil energy. As a result, the comparison of RecurDyn simulation and Matlab data are extremely exact and the Lagrangian equations can be used to obtain optimal parameters of the two-wheeled robot concerning the correlation between gyroscopes and weapon.
AtıfScopus4OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ3Effect of Nano Particulate Preservation Materials on the Combustion Temperatures of the Wood
Yasar, Sekip Sadiye; Cicek, Eyup; Yasar, Mehmet
It is acknowledged that boron, ammonium, and nitrogenous compounds, which are used today as fire retardants, cause an increase in the hygroscopicity of wood materials. In this study, Scots pine (Pinus sylvestris L.), Anatolian chestnut (Castanea sativa Mill.), and Eastern spruce (Picea orientalis Link) woods were impregnated with 1.5% nano-sized hexagonal boron nitride (NB) according to ASTM D1413-76 (1976) standards. Flame-induced combustion (FIC), self-combustion (SC), and glowing combustion (GC) temperatures were determined. The highest retention amount was measured in spruce and the lowest was in chestnut among the wood samples taken for testing and measurement. When compared with the control samples, NB application caused an increase in SC and FIC temperatures (at higher rates). According to the glowing combustion temperature control samples, an increase was observed in chestnut and spruce and a decrease was observed in Scots pine among the samples applied with NB.
AtıfScopus1WoS1İncele - BildiriYalnız künye2023IMPORTANCE OF STATIC TESTS FOR THE PREDICTION OF AMD POTENTIAL OF CEMENTED PASTE BACKFILL
Cihangir, Ferdi; Koc, Ercument; Orak, Mursel; Deveci, Taha Yavuz; Ercikdi, Bayram
Cemented paste backfill (CPB) is an engineering mixture of mine tailings, cement and water. Tailings can commonly contain sulphidic minerals. In this case, acid mine drainage (AMD) may occur due to the oxidation of sulphidic minerals present in the body of the CPB. In general, AMD lowers the pH of the medium and water environment and may cause heavy metal release. Therefore, AMD potential is an important parameter to be considered with regard to environmental aspect. Static tests are widely used to determine the AMD potential of sulphidic materials. When neutralization capacity is higher than the acid generation potential, tailings can be safely stored from an environmental point of view. In this study, AMD potential of CPB material produced from sulfur-containing fine tailings is investigated. In this scope, a static modified ABA test was performed on fine sulphidic tailings (TA) and CPB produced from the same sulphidic tailings+7%wt. SR5 cement+water for the first time. Findings suggests that the CPB material had a lower AMD potential (~10%) compared to the tailings. Acid generation capacity of both tailings and the CPB was found to be dominant due to the high sulphide content (~30%wt. and ~28%wt.), respectively. However, CPB was observed to maintain its structural integrity and did not release acidic water for at least 40 weeks. This study showed that a well-designed CPB can be effectively used as an environmentally friendly mine tailings management method.
AtıfOpenAlex1İncele - MakaleYalnız künye2023Scopus SJRQ2Determination of Yield, Yield Components, and some Quality Parameters of Bread Wheat (hexaploid) Cultivars with Different Origin in Arid Agricultural Conditions
Sirat, Abdulveli
There is need to breed wheat cultivars that are important in human nutrition with high seed yields and improved quality in terms of consumption. This study was conducted at Gumushane-Siran (Turkey) during the 2016–2017 and 2017–2018 cultivation seasons (winter) to identify bread wheat cultivars that show superior performance in terms of seed yield and quality characteristics. This research included 20 bread wheat cultivars using three replications based on the randomized complete block design. Heading date, plant height, spike length, number of seeds per spike, grain weight per spike, seed yield, and some quality characteristics (thousand seed weight, hectoliter weight, protein percentages, Zeleny sedimentation, and wet gluten percentage values) of cultivars were investigated. The maximum seed yield was obtained from Canik 2003 cultivar with 3749 kg ha−1, the lowest seed yield was noted as 3032 kg ha−1 in the Mufitbey cultivar. However, Canik 2003 cultivar came to the forefront in terms of spike length, number of seeds per spike, grain weight per spike, hectoliter weight, thousand seed weight, protein percentages, Zeleny sedimentation, and wet gluten percentage. In the cultivars included in the experiment, it was determined that there were positive and significant correlations between seed yield and number of seeds per spike, thousand seed weight, hectoliter weight, wet gluten percentage value, grain weight per spike, and protein percentages. The results showed that Canik 2003, Ekiz, Goksu-99, Karahan-99, and Selimiye come to the fore in terms of yield and yield elements and quality characteristics, and it seems appropriate to recommend.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ1Identification of the drivers of and barriers to COVID-19 vaccine intake behavior using a mixed-method design: implications from a developing country
Kordestani, Arash; Oghazi, Pejvak; Izmir, Onur; Oypan, Oguz; Ozer, Serhat
Various COVID-19 vaccines are available across the world. However, short phases of clinical trials for emergency use and myriad rumors about and misinformation on vaccines spread through different media sources, induce confusion and trigger vaccine hesitancy behavior. Although clinical trials demonstrated promising results in the ability of vaccines to protect, social endeavor is required for vaccines to succeed. Mitigation of the pandemic is only possible through widespread acceptance of the vaccine. Thus, identifying the factors that impact vaccine intake is crucial. This study determined factors that affect intentions toward vaccination using a mixed-method approach, in which qualitative and quantitative analyses were conducted together. Analysis of variance (ANOVA) is used in the quantitative study, and content analysis is employed in the qualitative study. The final sample of this mixed-method study consists of 568 participants for the quantitative study and 237 for the qualitative study. They were selected using an online questionnaire. Findings suggest that social, psychological, attitudinal, perceptual, and informational factors play a crucial role in shaping people's intentions toward vaccines, ultimately influencing their decision to accept or reject vaccination. Results of both the qualitative and quantitative studies, in parallel with each other, indicated similar barriers against and drivers toward vaccine intake behavior, providing strong insights into the reasons behind vaccine acceptance and hesitancy. Based on the insights gained in this study, a set of recommendations were compiled for policymakers.
AtıfScopus10WoS9OpenAlex11İncele - BildiriYayıncıda açık erişim2024High Performance Automatic ROI Extraction from Hand Images with Convolutional Neural Networks
Kosmaz Sunnetci, Betul; Bingol, Ozkan; Gedikli, Eyup; Ekinci, Murat
Automatic ROI extraction from hand images is a critical step in palmprint recognition. Traditional methods involve steps such as identifying the region of the hand, finding the valleys between the fingers and marking the palm area. Some of these processes are performed manually and some are performed with image processing techniques. However, these methods are time-consuming, vulnerable to human error, and computationally redundant. In this study, a deep learning-based convolutional neural network is developed for high-performance automatic ROI extraction from hand images. The proposed method eliminates the hand segmentation process and provides a solution where the palm region can be automatically selected directly. This reduces processing time, minimizes human error and improves overall accuracy.
AtıfScopus2OpenAlex1İncele
