Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Güler, Ömer(24)
- Tekin, H.O.(19)
- ALMisned, Ghada(18)
- Kocabaş, Mehmet(13)
- Baykal, Duygu Sen(11)
- Alkarrani, Hessa(10)
- Serdar, Osman(10)
- Yayla, Nihal(10)
- Kilic, G.(9)
- Özkul, İskender(9)
- Guler, Omer(7)
- Kocabaş, Filiz Kutluyer(7)
- Utku, Anıl(7)
- Çelikel, Baha Engin(7)
- Acar, Ramazan(6)
- Aglar, Erdal(6)
- Canbay, Canan Aksu(6)
- Garipcan, Ali Murat(6)
- Karaduman, Oktay(6)
- Koç, Ali(6)
- Özçiçek, Esin(6)
- Aydın, Ayşe Nur(5)
- Kutluyer Kocabaş, Filiz(5)
- Sarı, Sacit(5)
- Sezer, Süreyya Yonca(5)
- Sezgin, Eray Ekin(5)
- Yılmaz, Coşkun(5)
- Zengin, Gokhan(5)
- Akgül, Ceylan Sülü(4)
- Alataş, Mevlüt(4)
- Aslan, Naim(4)
- Batan, Nevzat(4)
- Cakilcioglu, Ugur(4)
- Ceylan, Tülay(4)
- Dal, Murat(4)
- Ertarğın, Merve(4)
- Ezer, Tülay(4)
- Gul, Muhammet(4)
- Kalay, Ece(4)
- Konurhan, Zekeriya(4)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ4INVESTIGATING AND PLANNING ECOTOURISM AREA FOCUSED ON FOREST VILLAGERS VIA THE ANALYTICAL HIERARCHY PROCESS
ESER, Nazlı; BİLİCİ, Ebru
Ecotourism has emerged as an alternative form of tourism that brings together urban dwellers and forest villagers, while also promoting the sustainability of forest resources. This study aimed to identify the key factors influencing ecotourism in forest villages and to determine the most suitable areas based on these factors. Giresun province served as the study area, where we collected data through interviews with stakeholders and industry professionals. The collected data were analysed using the SPSS23 program and the AHP analysis, which resulted in the identification of influential factors and the mapping of suitable ecotourism areas using ArcGIS 10.8. As a result of the Kolmogorov-Smirnov and Shapiro-Wilk tests, it was observed that the data showed a normal distribution and there was a significant relationship between the variables (p > 0,05). The findings from the interviews revealed that ecotourism can serve as a significant source of income and be pursued as a full-time occupation. Furthermore, it was determined that 50 forest villages in Giresun are situated within the most suitable ecotourism area. Based on the comprehensive analyses conducted, this study will establish an economically viable access road to the forest village, facilitating optimal land-use planning in the designated areas.
- MakaleAçık Erişim2025Scopus SJRQ2Ultrasonic-assisted high-speed micro-milling of Ti6Al4V
Mahmat, Aybars; Agar, Salih; Tosun, Nihat
In this study, the effects of different cooling techniques and process parameters on the performance characteristics of ultrasonic and conventional micro-milling (1-micron fixed amplitude, 20 and 30 kHz frequencies) of Ti6Al4V alloy were experimentally investigated. The impact of independent factors on tool life, cutting force, surface topography, surface roughness and cutting temperature was determined in order to find out machinability characteristics in this paper. Machining operations were performed under 20,000, 40,000 and 60,000 rpm revolution speed. The cutting depth and feed rate of the machining were kept fixed at 0.02 mm and 0.66 mm/s, respectively. Uncoated carbide and TiSiN-coated carbide cutting tools were used in machining operations. Dry machining and two different minimum quantity of lubrication (MQL) methods were used as cooling methods. According to the results achieved in the existing study, the ultrasonic micro-milling improved the surface roughness, reduced cutting forces, cutting zone temperature, and cutting tool wear. It was also found that MQL methods among other methods used in the present study have a greater effect on performance characteristics. As the spindle speed increased, the workpiece surface roughness, cutting force and tool life decreased, while the cutting zone temperature increased.
AtıfScopus4WoS4OpenAlex4
İncele - MakaleAçık Erişim2025Scopus SJRQ2Evaluation of poly(lactic acid) films incorporated with lemon peel extract oil for food packaging materials
Ertekin, Özlem
The effects of Citrus lemon peel extract oil (CLPEO) at different ratios (0%, 0.5%, 1.0% and 2.0%) on poly lactic acid blend films were evaluated concerning some properties of the films in this study. The antimicrobial effect of these films was determined against Escherichia coli, Enterococcus faecalis, Salmonella typhimurium, Bacillus cereus and Staphylococcus aureus according to the parallel stick method. Antioxidant properties of Citrus lemon peel extract oil were investigated using DPPH (2,2-diphenyl-1-picrylhydrazyl) and TEAC (trolox equivalent antioxidant capacity) method. The inhibition of DPPH for Citrus lemon peel extract oil was found to be as (84%), (76%), (71%), and (62%) for CLPEO, PLA2, PLA1, PLA0.5, respectively. Antibacterial effect was detected at CLPEO and PLA2 films, with CLPEO being important as an environmentally friendly packaging material in terms of antibacterial, antioxidant activity, FT-IR, SEM, WVP, opacity and mechanical properties.
- MakaleAçık Erişim2025Scopus SJRQ3Optimization of rare earth elements recovery from Kızıldag (Karaman-Türkiye) shale ore using response surface methodology
Uysal, Turan; Ünal, Ceren Erust; Akça, Muhammet Esat; Sis, Hikmet; Erdemoğlu, Murat
In this study, the usability of bauxite-related shale ore, rich in Rare Earth Elements (REEs), to produce REEs, which have high added value and critical importance, was investigated. In this context, Kızıldag (Karaman-Türkiye) shale ore, was prepared for tests through size reduction and sampling processes. HCl leaching was performed at different acid concentrations, leaching times, leaching temperatures, and liquid/solid ratios to determine the optimum leaching conditions for the milled ore. The modeling and optimization parameters related to leaching recovery were investigated using the response surface method (RSM). The results were evaluated using analysis of variance, three-dimensional graphs were drawn, and the accuracy of the models was discussed. Accordingly, optimum values were found, and the REE leaching recovery corresponding to these optimum values was 49.13%. It was concluded that the optimization results were compatible with the experimental results, and the average error rate (6.35%) was low.
AtıfScopus3OpenAlex4İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2Effect of pre-freezing on motility, viability and abnormality of Nile tilapia fish Oreochromis niloticus sperm post cryopreservation
Muchlisin, Z.A.; Hasibuan, R.R.; Maulida, S.; Eriani, K.; Fadli, N.; Muhammadar, A.A.; Handayani, L.S.; Suharman, I.; Kocabas, M.; Kocabas, F.K.
Nile tilapia Oreochromis niloticus is a popular freshwater fish that has been extensively and intensively cultured worldwide. However, cryopreservation of its sperm, especially pre-freezing procedure, has not been properly developed. Therefore, the study aimed to determine the best pre-freezing procedure for cryopreservation of Nile tilapia Oreochromis niloticus sperm. The completely randomized design with five treatments and four replications was employed in this study. The tested treatments were T1=4°C → 0°C →-4°C →-10°C →-79°C →-196°C, T2=4°C→ 0°C →-4°C →-10°C →-196°C, T3=4°C → 0°C →-4°C →-196°C, T4=4°C → 0°C →-196°C), and T5=4°C →-196°C, with a 10 min equilibration at each respective temperature. Furthermore, sperm was cryopreserved for two weeks in liquid nitrogen (-179oC). The results of the ANOVA test showed that pre-freezing had a significant effect on sperm motility, and viability (P<0.05), but had no considerable impact on sperm abnormality (P>0.05). Treatment T4 exhibited higher motility and viability, but these values were not significantly different from T3 and T5. Based on practical consideration, it was recommended to utilize the T5 pre-freezing procedures (4°C →-196°C) for cryopreservation of Nile tilapia sperm. Considering these results, Nile tilapia sperm can be directly cryopreserved into liquid nitrogen after equilibration at 4°C for 10 min.
AtıfScopus1
İncele - MakaleYalnız künye2025Scopus SJRQ1Flyting versus Karşılaşma: A Comparative Study of Verbal Duelling as a Form of Poetic Competition
Demir, Ayşegül
This study compares two traditions of verbal duelling: flyting in Scotland and karşılaşma in Türkiye. Both forms of poetic competition use insults and ridicule to entertain, while displaying the poet’s wit and cultural knowledge. Flyting is characterized by direct insults, while karşılaşma uses indirect, literary language. Despite stylistic differences, these traditions share similar purposes and motivations such as asserting poetic authority, displaying linguistic skill, and reflecting societal values. This article highlights the importance of these traditions in reflecting different cultural values and practices across different contexts.
- Kitap BölümüYalnız künye2025Bayesian Best–Worst Method Application for Assessing the Potential Effecting Areas of Climate Change: A Case Study in Turkey
Konurhan, Zekeriya; Yücesan, Melih; Gul, Muhammet
‘Climate Change’ is a term used to refer to global changes in the Earth's average temperature and the consequences of changes in temperature. More clearly, it demonstrates changes in temperature and weather patterns over time. The emergence of this situation directly or indirectly affects irreparable damages and major/minor disasters in many areas. Determining the answer to the question of which of these areas has an impact at what level of importance will provide guidance on which one should be prioritized in carrying out an effective treatment. Therefore, in this study, this problem is ad-dressed as a multi-criteria decision problem using Bayesian Best–Worst Method. The potential impacts have been categorized under 8 main areas and weighted via participating of 8 competent experts (geography, emergency disaster management, geomorphologist, climate scientist etc.) in the field of climate change. The study results determined that B (Ecosystems and Water Resources) has the most critical impact area, with 0.200. The least essential domain is G4 (Adaptation and Resilience Strategies in the Tourism Industry), which weighs 0.012. The results showed that they provide important clues regarding which impacts should be addressed first.
- MakaleAçık Erişim2025Scopus SJRQ1Incorporating the HPLC-ESI-Q-TOF-MS profiles with the biochemical properties of eight Salvia species
Llorent-Martínez, Eulogio J.; Nilofar; Sinan, Kouadio Ibrahime; Darendelioglu, Ekrem; Bahsi, Muammer; Polat, Rıdvan; Cakilcioglu, Ugur; Orlando, Giustino; Ferrante, Claudio; Zengin, Gokhan
Salvia, a widely recognized genus globally esteemed for its traditional and medicinal applications, prompted our investigation into the methanol and water extracts of eight Salvia species native to Turkey. These species included S. aucheri, S. candidissima, S. divaricata, S. virgata, S. multicaulis, S. palestina, S. trichoclada, and S. cerino-pruinosa. Our study aimed to assess their biological properties and chemical composition. Utilizing HPLC-ESI-Q-TOF-MS, we identified chemical constituents in the extracts, while antioxidant (radical quenching, reducing power, and metal chelating) and enzyme inhibitory (amylase, glucosidase, tyrosinase, and cholinesterase) activities were evaluated for biological activities. One hundred thirty-one compounds were characterized in the tested extracts. Although many compounds belonging to different chemical families were identified, the main compounds in all the extracts were rosmarinic and sagerinic acids, along with several salvianolic acid isomers. Notably, the methanol extracts displayed superior antioxidant properties overall, with S. cerino-pruinosa exhibiting the highest activity among them, except for metal chelating. Similar to the antioxidant test results, the methanol extracts were more active than the water extracts in the enzyme inhibition tests. Multivariate analysis further highlighted the distinctiveness of the water extract of S. cerino-pruinosa. In conclusion, our findings underscore the biopharmaceutical potential of the tested Salvia species, suggesting their significance as sources of bioactive agents for health-promoting applications.
AtıfScopus17OpenAlex15İncele - MakaleYalnız künye2025Scopus SJRQ1Does a university degree matter for wives? Investigating the relationship between husbands’ socioeconomic resources and wives’ labour force participation
Acar, Sedat
The labour market engagement of women in traditionally oriented societies is frequently constrained by their husbands’ socioeconomic resources. The rise in women’s educational attainment plays a pivotal role in reshaping the gender-based division of labour and enhancing their labour force participation. Drawing on nationally representative cross-sectional data from the Turkish Income and Living Conditions Survey (2006–2022; N = 136,874), this study examines the moderating role of wives’ educational attainment in the association between husbands’ socioeconomic resources (income and education) and wives’ labour force participation. The interaction model reveals that the probability of labour force participation is higher for wives with university-educated husbands only among those who are university-educated themselves; in contrast, participation rates decline for non-university-educated wives. Among university-educated wives, labour force participation is markedly higher in educationally homogamous marriages than in hypogamous marriages. While the negative income effect attributed to husbands persists across both educational strata of wives, its magnitude is significantly attenuated among university-educated wives. These findings indicate that in Turkey, a university degree serves as a critical mechanism for married women to circumvent economic and cultural barriers to labour force participation, with homogamous marital unions further facilitating their engagement.
- MakaleAçık Erişim2025Scopus SJRQ2Farm-Raised Versus Wild Caught Fish: Which is Better?
Can, Erkan; Özçiçek, Esin; Erol, Nida Demirtaş; Austin, Brian
There has been much discussion about which is better, farmed (= aquaculture) or wild-caught fish (= capture-fisheries), with supporters and opponents of both approaches. On balance, aquaculture should be the better option because of the ability to control all aspects of production. The result is that farmed products are often cheaper than wild-caught equivalents. However, there are negative aspects to aquaculture, including habitat destruction, for example the removal of mangroves for the construction of shrimp farms, the effect of escapees on native fish populations, and the possible negative impact of pollution from organic material, pathogens and antimicrobial compounds. The use of wild-caught “trash” fish as a source of protein and oil for the diets of carnivorous fish species in aquaculture is unsustainable. In contrast with wild-caught fish, there is greater variability in supply because of overfishing, quotas imposed by governments, and the effects of adverse weather. Moreover, fishing in distant waters is expensive and hazardous. Certainly, the quality of the product is more difficult to control because the history of the catch is largely unknown. However, there are concerns about illegal fishing activities, and the capture of undersized specimens which impacts negatively on future stocking levels. For the forseeable future, there will be roles for both aquaculture and capture-fisheries to meet the increasing global demand for aquatic food.
AtıfScopus5WoS5OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ2Tailoring ZrWNb-Based Refractory High Entropy Alloys: A Multidirectional Characterization Through Elemental, Physical, Thermodynamic, and Nuclear Radiation Attenuation Properties
Güler, Ömer; Özkul, İskender; Almisned, Ghada; Sen Baykal, Duygu; Alkarrani, Hessa; Kilic, G.; Mesbahi, A.; Tekin, H.O.
This study explores the development and characterization of 18 novel ZrWNb[(X)(Y)] (where XY are Hf, Ta, Mo, V, Ti) refractory high entropy alloys (RHEAs) designed to enhance mechanical robustness, thermodynamic stability, and radiation shielding effectiveness. Through a rigorous analysis, we evaluated the elastic modulus, entropy, and enthalpy of mixing, atomic size difference, valence electron concentration, and the omega parameter to understand the alloys’ phase behavior and structural integrity. Our findings revealed a broad range of elastic modulus values, indicating diverse mechanical adaptability suitable for high-stress applications. The thermodynamic assessment highlighted several RHEAs with favorable phase stability, particularly ZrWNbTaHf and ZrWNbTiTaHf, which are poised for high-performance usage due to their balanced mixing entropy and enthalpy. This study also benchmarks the RHEAs against conventional alloys, with sample R1 exhibiting the lowest fast neutron effective removal cross section, underscoring its superior neutron shielding capabilities. Additionally, R1 demonstrated exceptional photon attenuation, as evidenced by its competitive half-value layer performance across an extensive energy spectrum. Collectively, these results position R1 as a standout candidate, offering a significant advancement in materials science for applications demanding stringent radiation shielding, such as in nuclear reactor environments and space exploration.
AtıfScopus4OpenAlex5İncele - BildiriAçık Erişim2025Investigation of Mechanical Properties of Hot Mix Asphalt Modified with Elvaloy and Polyphosphoric Acid
Yilmaz, Mehmet; Yalcin, Beyza Furtana; El Naggar, H.; Barros, J.; Cachim, P.
In order for the bituminous hot mix layers to resist the increased traffic load and volume as well as the adverse environmental conditions for a long time without being deformed, the bituminous binder used in the mixture has been commonly modified with the Styrene-Butadiene-Styrene (SBS) polymer. The high demand for SBS makes it difficult to supply and therefore brings on the use of alternative additives. In this study, the combined use of Elvaloy and phosphoric acid (PPA) was investigated. Additionally, the effects on the mechanical properties of bituminous mixtures were examined. Modified binders were prepared using Elvaloy/PPA additives mixed under specified conditions. Hot mix asphalt (HMA) samples prepared with these binders were subjected to Marshall stability and flow, indirect tensile stiffness modulus, and indirect tensile fatigue tests to comprehensively evaluate the effects of modified bi nders on the mechanical properties of bituminous hot mixtures. As a result, the bituminous hot mix tests revealed that asphalt mixtures improved their mechanical properties at the specified ratios.
- MakaleAçık Erişim2025Scopus SJRQ2Dual-effect of Holmium(III) oxide and Boron Carbide reinforcement on physical, microstructural evolution and gamma-ray shielding performance of 316L-SS
Yayla, Nihal; Albayrak, M. Gökhan; Güler, Ömer; Almisned, Ghada; Sen Baykal, Duygu; Alkarrani, Hessa; Kilic, Gokhan; Tekin, Huseyin Ozan
This study provides one of the first comprehensive evaluations of 316L stainless steel composites reinforced with 10 wt.% B4C and varying concentrations of Ho2O3, proposing a new compositional design for simultaneous structural enhancement and dual gamma-neutron shielding optimization. XRD analysis confirmed the predominance of the austenitic phase with minor martensitic peaks at higher Ho2O3levels. SEM and EDX results revealed uniform dispersion and improved densification with increasing oxide content. The 316L-B4C-20%Ho2O3composite exhibited the highest mass attenuation coefficient (0.8953 cm2/g) and linear attenuation coefficient (6.73 cm−1) at 0.1 MeV, demonstrating superior gamma-ray shielding capability. The effective electron density increased from 2.86 × 1023to 5.82 × 1023electrons/cm³, while the energy absorption buildup factor (EABF) showed a consistent decrease with higher oxide concentrations. Although a slight reduction in fast neutron removal cross-section was observed, the composite maintained satisfactory neutron attenuation performance. Overall, the findings indicate that the 316L-B4C-20%Ho2O3system offers a promising balance between structural stability and dual radiation protection, making it a strong candidate for next-generation nuclear shielding materials.
AtıfScopus1İncele - BildiriAçık Erişim2025Deep Learning-Based Approaches for Short-Term Residential Electricity Consumption Prediction: A Comparative Study of LSTM, CNN-LSTM, and CNN-GRU Models
Gunay, Mihriban; Yildirim, Ozal; Demir, Yakup; Benedicenti, L.; Liu, Z.
The rapid increase in the world population has increased electricity consumption and demand for electricity. In order for electricity distribution companies to determine electricity demand, household electricity consumption must be predicted. In this study, an open access dataset was used to predict individual household electricity consumption. For this purpose, deep learning-based LSTM, CNN-LSTM and CNN-GRU models were developed and a comparative analysis was performed. The performance of the models was evaluated using four evaluation metrics commonly used in prediction model performance evaluation. According to the results obtained, it was seen that the models used in the study were successful in predicting short-term electricity consumption. In particular, the CNNLSTM model was found to have a lower error rate compared to the other two models.
- MakaleYalnız künye2025Scopus SJRQ2Studies on the improvement of thermal, dielectric and optical properties of poly(2,2,2-trifluoroethyl methacrylate) by the addition of graphite oxide as fillers
Barim, Esra
In this study, poly(2,2,2-trifluoroethyl methacrylate) homopolymer (PTFEMA) was synthesized via free radical polymerization method, and its composites with graphite oxide (GO) were prepared to improve its dielectric and thermal properties. Thermogravimetric evaluation revealed that graphite oxide acts to limit thermal diffusion throughout the PTFEMA loaded graphite oxide (GO) composite, and hence, thermal stability of composites improved. While the initial decomposition temperature of pure PTFEMA was found to be 233°C from thermogravimetric analysis measurements, the initial decomposition temperature of PTFEMA containing 5 wt% graphite oxide was found to be 251°C. The glass transition temperatures of the composites increased from 76°C to 86°C due to the increase in the amount of graphite oxide added to PTFEMA. The dielectric properties of composites were investigated from 100 Hz to 10 kHz for different temperatures. While the dielectric constant, ε′, of pure PTFEMA at 1 kHz at room temperature was found to be 3.00, that of the PTFEMA containing 5 wt% GO was found 10.32. Therefore, graphite oxide doped PTFEMA composites may be suitable candidates for energy storage applications. The dc conductivity and dielectric loss factor of PTFEMA containing 5 wt% graphite oxide were seen to increase with temperature.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Evaluation of the seismic response of reinforced concrete buildings in the light of lessons learned from the February 6, 2023, Kahramanmaraş, Türkiye earthquake sequences
Yön, Burak; Dedeoğlu, İbrahim Özgür; Yetkin, Musa; Erkek, Hakan; Calayır, Yusuf
On 6 February 2023, two significant seismic events occurred in the southeastern region of Türkiye. The seismic activity, which was perceptible in numerous countries beyond Türkiye, resulted in a considerable number of fatalities. A considerable number of individuals lost their lives and were rendered homeless as a result of the disaster. Two of the most significant factors contributing to the occurrence of these tragedies are the magnitude of the earthquake and structural deficiencies. The present study is concerned with a detailed analysis of these two factors. This study initially considers the seismicity of the region where the earthquakes that occurred on 6 February 2023 took place, as well as the seismic characteristics of these earthquakes. Subsequently, the findings of the field studies conducted in Hatay, Adıyaman, Kahramanmaraş and Malatya, the cities where the earthquakes caused the most destruction, are presented. The objective of the field study is to ascertain the collapse patterns, structural damages and the factors influencing these damages in reinforced concrete structures in the region. The primary causes of damage to structures can be attributed to several factors, including the presence of a strong beam-weak column mechanism, the soft story-weak story mechanism, the pounding effect, the short column damage, the long cantilever and overhangs, the short beam damage, the buckling damage, the torsion effect, the quality of the materials, the insufficient transverse reinforcement, the compressive failure due to over-reinforcement, the corrosion effect, the damage to reinforced concrete shear walls, the infill wall damage, and the damage caused by the soil and foundation system. These causes have been evaluated and recommendations have been formulated to prevent structural damage.
AtıfScopus55WoS50OpenAlex61İncele - MakaleYalnız künye2025Scopus SJRQ4Deep learning-based hybrid traffic flow prediction model for freight transport
Utku, Anıl; Kaya, Sema Kayapinar; Can, Umit
Urban freight transportation is crucial to sustaining domestic and international trade and fulfilling the regular requirements of community companies and customers. Therefore, this study developed an efficient convolutional neural network (CNN) and long short-term memory (LSTM) based hybrid deep learning model for predicting traffic flow in freight transportation. The number of freight trucks that would travel along 663 Street in Anderlecht, Belgium, and their average speed was predicted. The created model was compared with support vector machine (SVM), linear regression (LR), multilayer perceptron (MLP), random forest (RF), LSTM, and CNN using the success measures. The critical finding of this study is that combining the feature extraction ability of the 1D CNN model with the learning ability of the LSTM model from multivariate traffic data increases the traffic density prediction success compared to other traditional methods. Based on the results of the experiments, the CNN-LSTM model outperformed all the other models employed in this study. With this model, freight density can be successfully predicted, assisting in planning freight transport activities.
- MakaleAçık Erişim2025Scopus SJRQ1Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches
Yilmaz, Mehmet; Yalcin, Erkut; Demir, Fatih; Ozdemir, Ahmet Munir; Atar, Muhammed; Gunes, Aysegul; Furtana Yalcin, Beyza; Cambay, Ertugrul
This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. Unlike traditional manual inspections, which are time-consuming and error-prone, our approach leverages advanced segmentation techniques to ensure accurate, pixel-level classification of various crack types. The main challenge of this study was determining the damage caused to highways by earthquakes with magnitudes greater than 7.0, which occur approximately once every 200 years. The most crucial step in the automatic detection of these damages is the reliable preparation of a high-accuracy dataset. To achieve this, pixel-based labels were created by experts in the construction field by analyzing each pixel value. Following two major earthquakes, a unique dataset for segmenting roadway deterioration was created through intensive and detailed studies. This study aims to present the performance results of popular deep learning-based segmentation models in an unbiased manner, providing a feasible infrastructure for future real-time applications. The innovative aspect of this research lies in the creation of a unique post-earthquake dataset, collected and labeled from highways affected by the February 6, 2023 earthquakes in Turkey (Mw = 7.7 and Mw = 7.6). Deep learning models, including SegNet, Attention SegNet, U-Net, FCN (8s), and DeepLab, were trained and tested on this dataset. Among these, the SegNet model achieved the best performance with an average accuracy of 86.72%, precision of 92.99%, and sensitivity of 78.45%. By demonstrating superior performance metrics compared to existing methods, this study provides a robust framework for future infrastructure monitoring and maintenance strategies, ensuring safer and more resilient transportation networks in disaster-prone regions.
AtıfScopus6OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Forecasting daily natural gas consumption with regression, time series and machine learning based methods
Yucesan, Melih; Pekel, Engin; Celik, Erkan; Gul, Muhammet; Serin, Faruk
An effective short-term natural gas forecasting method contributes to social contributions and allows industrial chain elements to function effectively and minimize economic losses. We dealt with a comparative framework on the applicability of different methods in daily natural gas service (NGS) consumption forecasting. In this context, time series, machine learning, evolutionary and population-based approaches, and their hybrid versions are applied to the NGS data. Hybridized approaches are tested in the scope of NGS consumption forecasting for the first time in the literature in this study. The case of Turkey is handled, and its NGS data is used to demonstrate the comparative framework’s applicability. The comparative study is assessed in the lights of common forecasting accuracy measures of mean absolute percentage error (MAPE), R-squared (R2), and mean squared error (MSE). According to each method’s results, the seasonal autoregressive integrated moving average with exogenous regressors (SARIMAX) and artificial neural network (ANN) hybrid model provides the most dominant performance with respect to MAPE. The lowest error was obtained with a MAPE value of 0.357 in this hybrid model constructed under seven neurons in its ANN structure. This model is followed by another hybrid model, autoregressive integrated moving average (ARIMA)-ANN, with a MAPE value of 0.5 under nine neurons in terms of accuracy performance. The worst performance value belongs to the Genetic algorithm-ANN hybrid model with a MAPE value of approximately 26%.
AtıfScopus16WoS19OpenAlex22İncele - MakaleYalnız künye2025Scopus SJRQ4Bioaccumulation of copper by Gammarus pulex (L., 1758): monitoring through a statistical modelling approach
Pala, Aysegul; Ince, Muharrem; Serdar, Osman
The aim of this study is to test freshwater gammarids as ecotoxicological biomarkers. Gammarids were collected from fresh water and adapted to the laboratory environment. Then, the influence of various variables was investigated. For monitoring and detecting the bioaccumulation level in Gammarus pulex exposed to controlled copper ions and to evaluate potential human and ecological risks, the use of G. pulex as sentinel indicators of water quality is one rational approach. Copper bioaccumulation rate and fate are currently not sufficiently studied. For optimization, the experimental conditions to ensure bioaccumulation level and to find the effects of various variables on proses, a Box–Behnken experimental design was performed. Used mentioned model with statistical underpinnings for Cu2+ ions bioaccumulation have been analyzed, tested and verified and the viability of G. pulex as a biomonitor. The variables’ optimum levels (temperature; 18.1, pH; 4.3, initial concentration of Cu2+ ions, mg L−1; 11.2 and exposure time, h; 42.2) were achieved by employing the quadratic regression model. Critical role of G. pulex in freshwater biomonitoring and their potential to be evaluated as biomarkers for Cu2+ ions was confirmed. It was also explored to see if G. pulex may serve as a potential tool for estimating aquatic quality.
AtıfScopus1WoS1OpenAlex1İncele