Gümüşhane ÜniversitesiGümüşhane ÜniversitesiAçık Erişim Arşivi · RDL Open

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  • MakaleYalnız künye2024
    INVESTIGATION OF THE EFFECTS OF VARIOUS OPERATING PARAMETERS ON GEOPOLYMER MORTARS MADE FROM NATURAL MINERALS AND INDUSTRIAL WASTE MATERIALS

    Temizer, Hülya; Çavdar, Özlem

    In this study, fly ash (FA) from Sivas/Kangal thermal power plant and blast furnace slag (BFS) from Bolu cement industry were used as the main binder materials. Based on both the literature and preliminary tests, samples were prepared with 85% blast furnace slag and 15% fly ash (85BFS15FA) as the main binder. In addition, the effect of geopolymer main binders and different additives such as mine waste, marble powder, and titanium dioxide were evaluated under various working conditions. The aim was to observe the effect of three different levels and 6 different parameters on the geopolymer samples using the Taguchi optimization method. Accordingly, the L27 orthogonal matrix was created. Three different molar ratios (8M, 10M, 12M) of sodium hydroxide (NaOH) solution and sodium silicate (Na2SiO3) solution were used as alkaline activators. Physical and some mechanical tests such as flexural strength, compressive strength, water absorption, and void ratio were performed on the 7, 28, 56, and 90-day samples, and Taguchi and ANOVA statistical analyses were performed on the 90-day samples. The highest compressive strength observed among 108 samples reached 65.75 MPa in the S20 samples (90-day). Taguchi and ANOVA statistical analyses identified curing temperature as the most significant parameter influencing the geopolymer samples. Additionally, the Signal to Noise ratio data indicated that the optimal curing temperature, determined to be the most effective based on the 'Larger is better' criterion, was found to be 75 ̊C.

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  • MakaleAçık Erişim2024
    Effect 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.

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  • BildiriYayıncıda açık erişim2024
    High 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.

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  • MakaleAçık Erişim2024
    Optical Filter Design for Multi-Color VLC in Reflective Environments with Multiple Lighting Sources

    Kucuk, Mehmet A.; Albayrak, Cenk; Turk, Kadir; Yanikomeroglu, Halim

    Multi-color visible light communication (MC-VLC) systems, which aim to transmit data in parallel with multi-color LEDs, use optical filters to separate color channels at the receiver side. However, the relatively wide spectrum of LEDs may cause inter-color interference (ICI). In addition, the passband of the optical filters shifts towards the blue wavelength depending on the angle of incidence (AoI) of the light, which may also increase ICI. In this paper, the problem of designing optical filters for MC-VLC systems in the presence of the blue-shift is investigated. The communication environment is assumed to be a typical room illuminated by multiple fixtures in accordance with lighting standards. Moreover, the walls in the room are reflective, resulting in non-line-of-sight (NLoS) components. The passband edges of the optical filter are optimized to maximize the average signal-to-interference-plus-noise ratio (SINR). The effect of the field-of-view (FOV) of the receiver on the system performance is also analyzed. Finally, a generic optical filter has been designed that can be used in standards-compliant environments for selected LEDs and a given FOV range. The results show that the designed optical filter provides a higher and uniform capacity than those in the literature.

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  • MakaleYalnız künye2024
    Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye

    Şan, Murat; Nacar, Sinan; Kankal, Murat; Bayram, Adem

    Precipitation, especially in regions dominated by the Mediterranean climate, is one of the most critical parameters of the hydrological cycle and the environment affected by climate change. One the one hand, the transition probabilities of wet and dry days in precipitation occurrence are a relatively new topic, on the other hand these are essential in defining the regional climate. For the first time, spatiotemporal variations of transition probabilities of wet and dry days in the Susurluk Basin, northwestern Türkiye, dominated by a semi-arid Mediterranean climate and also having a mountain climate, were analyzed based on the observation (1979–2014) and future terms (2030–2059 as short and 2070–2099 as long), under four Shared Socioeconomic Pathways (SSPs) scenarios. To do this, statistical downscaling was performed for 14 general circulation models (GCMs) from the CMIP6. By applying an ensemble of four high-performing GCMs, four indices for transition probabilities of wet and dry, i.e., a dry day following a dry day (FDD), a wet day following a dry day (FDW), a dry day following a wet day (FWD), and a wet day following a wet day (FWW), were calculated, and their changes were determined statistically. Monotonic and partial trends of the indices were also analyzed. According to the results, the FDD will increase in water year and wet period and autumn in the future, especially for the long term, in the basin dominated by the FDD (75 % in water year). The risks are higher in the western part of the basin, where human activities are intense, as the FDD is higher in this part than other parts especially in summer (90–100 %) in SSP3-7.0 and SSP5-8.5 scenarios for the long term. So, the length of consecutive dry days in the wet period and water year will increase in the basin, thus increasing the likelihood of droughts. As for the intra-term trends, the FDD increases and the FWW decreases in the water year and seasons in SSP3-7.0 and SSP5-8.5, contrary to the observation term.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 13 · İklim Eylemi
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  • MakaleAçık Erişim2024
    A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting

    Barış, Caner; Yanarateş, Cağfer; Altan, Aytaç

    The global impacts of climate change have become increasingly pronounced in recent years due to the rise in greenhouse gas emissions from fossil fuels. This trend threatens water resources, ecological balance, and could lead to desertification and drought. To address these challenges, reducing fossil fuel consumption and embracing renewable energy sources is crucial. Among these, wind energy stands out as a clean and renewable source garnering more attention each day. However, the variable and unpredictable nature of wind speed presents a challenge to integrating wind energy into the electricity grid. Accurate wind speed forecasting is essential to overcome these obstacles and optimize wind energy usage. This study focuses on developing a robust wind speed forecasting model capable of handling non-linear dynamics to minimize losses and improve wind energy efficiency. Wind speed data from the Bandırma meteorological station in the Marmara region of Turkey, known for its wind energy potential, was decomposed into intrinsic mode functions (IMFs) using robust empirical mode decomposition (REMD). The extracted IMFs were then fed into a long short-term memory (LSTM) architecture whose parameters were estimated using the African vultures optimization (AVO) algorithm based on tent chaotic mapping. This approach aimed to build a highly accurate wind speed forecasting model. The performance of the proposed optimization algorithm in improving the model parameters was compared with that of the chaotic particle swarm optimization (CPSO) algorithm. Finally, the study highlights the potential of utilizing advanced optimization techniques and deep learning models to improve wind speed forecasting, ultimately contributing to more efficient and sustainable wind energy generation. This robust hybrid model represents a significant step forward in wind energy research and its practical applications.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 13 · İklim Eylemi
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  • MakaleAçık Erişim2024
    Effects of Ultrafine Fly Ash against Sulphate Reaction in Concrete Structures

    Demir Şahin, Demet; Eker, Hasan

    In this study, Afşin Elbistan C-type fly ash (FA) was used, which protects against the sulphate reaction that damages concrete. The detrimental effects of post-reaction decrease with increasing fly ash fineness. The study used 10%, 30%, and 50% weight substitutes of cement. The fly ash was ground in a ball mill for 0, 10, 20, 30, 45, and 60 min, and Blaine fineness values of 1555, 1632, 2347, 2589, 2766, and 3433 cm2/g were obtained, respectively. The effect of the samples on the sulphate resistance was investigated by exposing the samples to 5% or 10% added sulphate solutions, and the compressive strength and ultrasonic pulse velocity of the concrete were tested. The compressive strength values obtained decreased with the increase in sulphate content, and the increase in the grinding time and the amount of substituted FA increased the compressive strength values. It was observed that weight loss increased with increasing sulphate content and decreased with the addition of FA with a high Blaine fineness. It was determined that as the Blaine fineness value increased, the sulphate content, FA substitution amount, and ultrasonic pulse speed decreased. This study was carried out to determine the effects of fly ash used at different fineness and replacement ratios on the performance and strength of concrete after exposure to external influences such as sulphate. The use of fly ash instead of cement will reduce the use of waste materials and natural resources and prevent environmental pollution. The cost of cement and concrete will be reduced.

    • SDG 12 · Sorumlu Üretim ve Tüketim
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  • MakaleYalnız künye2024
    Dual Capacitive Behavior of Hollow Porous Gold Nanoparticle/Multi-Walled Carbon Nanotube Composite Films as Anode and Cathode Electrode Materials for Supercapacitors

    Bahar, Necmiye; Ekinci, Duygu

    In this paper, composites of multi-walled carbon nanotubes decorated with hollow porous gold nanoparticles (HPAuNPs/MWCNTs) were prepared using wet chemistry methods, and their capacitive properties were evaluated in Na2SO4 aqueous solution on glassy carbon (GC) electrodes as both cathode and anode materials by cyclic voltammetry (CV), galvanostatic charge–discharge (GCD), and electrochemical impedance spectroscopy (EIS) techniques. Also, the MWCNTs were studied under similar experimental conditions for comparison. The results revealed that the charge storage mechanisms of the MWCNTs/GC and HPAuNPs/MWCNTs/GC electrodes were electrostatic in the negative potential window, whereas they exhibited pseudocapacitive energy storage behavior in the positive potential region. Moreover, the HPAuNPs/MWCNTs/GC electrode yielded specific capacitance values of 57 and 49 F g−1 at a scan rate of 20 mV s−1 in the cathodic and anodic potential windows, respectively, which were higher than those of the MWCNTs/GC electrode (~9 F g−1). Graphic Abstract: [Figure not available: see fulltext.].

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  • MakaleYalnız künye2024
    Perspectives on the mental health of immigrant children in the pediatric emergency department: a phenomenological study

    Uzun, Sevda; Ustuner Top, Fadime

    The concept of immigration is a complex phenomenon that goes far beyond mere relocation and refers to the transition from one social environment to another or from one culture to another. Immigration and its effects on children are regarded as global and interdisciplinary problems. This study aims to reveal the opinions of nurses working in the pediatric emergency department about the mental health of immigrant children. In this qualitative research, a phenomenological research design was used (N = 19).Interviews were conducted using a semi-structured interview form. Colaizzi’s method was used to analyze the data manually. Four categories, eleven themes, and thirty-eight sub-themes emerged from the analysis of the data. The difficulties nurses experience with immigrant children and their relatives in providing care include communication problems, cultural problems, and economic problems. The causes of mental health problems in immigrant children include war, exposure to immigration traumas, cultural assimilation problems, loss/absence of parents, economic reasons/excessive role overload, and exposure to neglect and/or abuse. Education, economic aid, communication, non-stigmatization, and social support were identified as significant sub-themes for practices to protect/promote children’s mental health. The study showed that immigrant children experience physical and mental problems. Nurses struggle to treat immigrant children effectively but have difficulties due to insufficient facilities. It may be suggested to include cultural care models in patient care.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleYalnız künye2024
    Human health risk assessment of heavy metals accumulation in different genders and tissues of whiting fish (Merlangius merlangus euxinus Nordmann, 1840) from Rize, Turkey

    Şirin, Murat; Bayrak, Esra Yılmaz; Baltaş, Hasan

    The contamination of fish resulting from marine pollution is a major concern, as it poses potential adverse effects on human health. Therefore, heavy metal concentrations (Cr, Fe, Ni, Cu, Zn, and Pb) in different genders and tissues (muscle, liver, gonads and gills) of whiting fish collected from fish markets in Rize province were determined by Inductively–coupled plasma optic emission spectrometry (ICP–OES). The concentration ranges of heavy metals in all tissue samples, based on the overall average, were as follows (mg/kg wet weight): Cr: 0.081–0.25, Fe: 2.3–40, Ni: 0.070–0.095, Cu: 0.33–1.01, Zn: 3.0–20, and Pb: 0.015–0.043. The results indicated that the liver and gills exhibited a higher metal accumulation capacity compared to other tissues, whereas the muscle consistently displayed the lowest metal concentrations. The metal concentrations in the muscle were found to be below the maximum permissible levels set by international organizations for seafood. Additionally, calculated estimated daily intake (EDI), metal pollution index (MPI), target hazard quotient (THQ), total exposure hazard index (HI), and target carcinogenic risk (TR) indicate no potential risk to humans from whiting fish consumption.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleYalnız künye2024
    Axial resistance of elliptical hollow section K-joints made of high strength steel

    Ozyurt, E.

    The present study examined the axial resistance of welded elliptical hollow section (EHS) K-joints made of high-strength steel (HSS). The axial resistance of EHS K-joints was affected by a range of factors, including the geometrical parameters, orientations, chord pre-stress levels, and the mechanical properties of the high-strength steel grades. This research aimed to investigate the performance of welded EHS K-joints made of HSS under axial loading conditions with or without chord pre-stresses. Finite element analysis was employed for numerical simulations to analyze the nonlinear behaviour of EHS K-joints with HSS. It was observed from the numerical results that the orientation types significantly affected normalised resistance ratios. In contrast, β, γ, θ, and chord pre-stress levels had minimal impact, as comparisons were based on normalised resistance ratios. However, non-dimensional geometric parameters and chord pre-stress levels notably influenced the axial joint resistance of the HSS K-joints. As for predicting the axial resistances of EHS K-joints with HSS, the numerical results indicated that the existing reduction factor might be unsafe for the equivalent RHS method to be applied in the current design guides. Therefore, a new reduction factor was proposed for EHS K-joints with HSS that yield unsafe results.

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  • MakaleYalnız künye2024
    The Elephant in the Room: New Skills and Work Dimensions of Turkish White Goods Industry Engineers in Industry 4.0 Era

    Demirbag, Kubra Simsek; Yildirim, Nihan

    While the emergence of the Industry 4.0 (I4.0) concept has heightened concerns about how digital transformation will affect employees, engineers who create, develop, and spread the I4.0 tools and technologies are ignored. Also, the industries with the highest digital maturity should be prioritized since they are the readiest ones for the I4.0 transformation. In this context, our focus is the engineers in the Turkish white goods industry, one of the three industries with the highest level of digital maturity in Turkey. We aim to determine the new skills expected from engineers and to uncover the impact of the perceived usage level of I4.0 technologies by engineers on the dimensions of engineering work. In this article, we conducted two separate surveys for engineers and managers and sought answers to four research questions using factor analysis and regression analysis. The results show that the new skills are divided into intrinsic motivation, technology, and data and information skills. At the same time, the perceived usage level of I4.0 technologies influences the social characteristics dimension of engineering work. We revealed that the sociability level of the engineers who use data analytics, artificial intelligence, simulation, and RFID/RTLS technologies while performing their jobs tends to decrease, while the sociability level of the engineers who use adaptive robots and additive manufacturing technologies gets higher.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
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  • MakaleAçık Erişim2024
    Design and fabrication of low-cost microsystems for production of chitosan particles; [Kitosan parçacıklarının üretimi için düşük maliyetli mikrosistemlerin tasarımı ve fabrikasyonu]

    Akay, Seref; Özdilek, Hasret

    Recent research has focused on the methods for administration of medications in a controlled manner while minimizing side effects. Cross-linked hydrogels have wide application area as nanocarriers. There are many approaches for developing suitable methods to produce ideal particles. Advances in microtechnology have been considered as a solution to produce controlled drug delivery systems, however, it is limited due to the necessity for specialized laboratories. In this study, a simple method to produce antibiotic-loaded chitosan particles is proposed. Production was carried out with two different designs, a syringe-based flow focusing system (outer diameter of 1 mm, inner diameter of 120 µm) and microchannel with 250 µm width and 100 µm height fabricated with the computer numerical control (CNC). Sodium Triphosphate (TPP) was used as cross-linking agent for the production of particles and the effects of the concentration and flow rates on the particle formation was investigated. It has been observed that particles can be produced in a syringe-based system, but the resulting particles are not homogeneous. In the studies carried out with CNC microchannel, it was determined by SEM analysis that the obtained particles ranged in size from 39 to 771 nm, and it was seen that the CNC microchannel was more effective at low and equal flow rates (25 µl/min). It has been found that increasing the flow rate and concentration of chitosan increases the particle size. It was determined that Ampicillin loaded particles synthesized with the CNC microchannel exhibited high inhibition against Gram positive and Gram negative bacteria. These results show that the proposed approaches for the design of microsystems can be used in the formation of drug carriers without the need for specialized laboratories and expertise.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
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  • Derleme MakaleYayıncıda açık erişim2024
    Biochemical Processes During Cheese Ripening; [Peynir Olgunlaşmasında Biyokimyasal Olaylar]

    Atasever, Mustafa; Mazlum, Halit

    Cheese ripening entails specific biochemical changes that occur under certain conditions during storage. These changes allow different cheese varieties to develop their unique characteristics. The ripening process is influenced by both primary and secondary biochemical events. These are driven by coagulating enzymes, milk's natural enzymes, and the enzymes of both starter and non-starter microflora. The main biochemical events during cheese ripening include proteolysis, lipolysis, and the metabolism of citrate and lactate. Secondary biochemical reactions then process the primary metabolic products, such as lactic acid, fatty acids, and amino acids. This leads to the formation of volatile compounds like alcohols, aldehydes, ketones, acids, lactones, phenols, esters, and sulfur compounds, which play a crucial role in determining the cheese's quality. These processes give each cheese type its distinctive features, like aroma, taste, color, texture, and pore structure, influencing consumer preferences. This review provides insights into the biochemical events that occur during the cheese ripening period.

    • SDG 2 · Açlığa Son
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  • MakaleYalnız künye2024
    Availability of sedimentary and volcanic rock deposits on Northeastern Turkey as concrete aggregates

    Çavdar, Ahmet; Çavdar, Özlem

    Turkey has large aggregate deposits; however, these deposits cannot be used effectively due to a lack of controls. This can lead to fatal errors, as in the 6 February 2023 Turkey-Syria earthquakes. The main motivation of this study is to investigate the availability of existing and new aggregate deposits as concrete aggregates in northeastern Turkey. Thus, the quality of aggregates in this region will be studied comparatively. This research was carried out with aggregate samples taken from 30 different rock quarries in 10 different provinces in this region of Turkey. First, the locations of 30 crushed rock aggregates were identified, and their petrographic, mineralogical, physical, geometric and durability properties were determined. Fifteen different test procedures were applied to 30 crushed rock samples. It was concluded that these rocks are generally sedimentary rock types and that 18 of these 30 samples are of limestone origin. To obtain high-strength concrete, in addition to quality cement, the aggregates used must also be of high quality. The use of aggregate resources mentioned in this study for building concrete will contribute to the production of high-strength concrete. These samples, which generally have sufficient physical, mechanical and durability properties, meet the limitations of the standards much better than concrete aggregates. High-statistical-performance regression equations were obtained for the physical and durability properties.

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  • Derleme MakaleAçık Erişim2024
    Effect of eHealth Interventions on Symptom Management in CABG Surgical Patients: A Systematic Review

    Aydin, Aydanur; Celik, Sevilay Senol

    This study aimed to evaluate the effectiveness of eHealth interventions on symptom management outcomes of patients undergoing CABG surgery. A systematic review was performed on CINAHL, PubMed, Web of Science, Ovid MEDLINE, and Scopus from 2006 to June 2022. The Joanna Briggs Institute's evaluation tools for RCT and quasi-experimental studies were used to assess the methodological quality of the publications included in this review and to determine the extent to which each publication addressed the possibility of bias in its design. The raters' agreement was determined by using Cohen's kappa test, which yielded a kappa coefficient of 0.51. (PROSPERO registration number: CRD42023398498). A systematic analysis of 11 publications involving 2.586 patients showed that the eHealth intervention effectively increased activity and self-management. eHealth interventions, which are also effective in the management of psychological problems, had results that were partially effective in pain management and effective in quality of life. Digital healthcare has become an important component of patient care. Nurses providing care should be aware that eHealth interventions are showing promising results in patient care.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleYalnız künye2024
    Non-Newtonian Sumudu transform

    Gungor, Nihan; Dinc, Nagihan

    A novel version of the Sumudu transform is introduced by using the notion of ∗-integral, which is called non-Newtonian Sumudu transform. The fundamental characteristics of the non-Newtonian Sumudu transform are demonstrated. The obtained results are applied to the solving of non-Newtonian differential equations and growth models.

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  • MakaleYalnız künye2024
    New national and regional bryophyte records, 79

    Ellis, L. T.; Alatas, M.; Ali, Sk. N.; Alvarez, D. J.; Aponte Rojas, A. M.; Atwood, J. J.; Batan, N.; Bednarek-Ochyra, H.; Cano, M. J.; Cimerman, Z. L.

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  • MakaleAçık Erişim2024
    New national and regional bryophyte records, 76

    Ellis, L. T.; Afonina, O. M.; Alatas, M.; Alia, H. B. M.; Alvarez, J.; Aponte Rojas, A. M.; Atwood, J. J.; Bacilliere, G.; Batan, N.; Biberdzic, V.

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  • MakaleAçık Erişim2024
    GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India

    Rane, Nitin Liladhar; Günen, Mehmet Akif; Mallick, Suraj Kumar; Rane, Jayesh; Pande, Chaitanya B.; Giduturi, Monica; Bhutto, Javed Khan; Yadav, Krishna Kumar; Tolche, Abebe Debele; Alreshidi, Maha Awjan

    The significant natural energy sources for reducing the global usage of fossil fuels are renewable energy (RE) sources. Solar energy is a crucial and reliable RE source. Site selection for solar photovoltaic (PV) farms is a crucial issue in terms of spatial planning and RE policies. This study adopts a Geographic Information System (GIS)-based Multi-Influencing Factor (MIF) technique to enhance the precision of identifying and delineating optimal locations for solar PV farms. The choice of GIS and MIF is motivated by their ability to integrate diverse influencing factors, facilitating a holistic analysis of spatial data. The selected influencing factors include solar radiation, wind speed, Land Surface Temperature (LST), relative humidity, vegetation, elevation, land use, Euclidean distance from roads, and aspect. The optimal sites of solar PV power plant delineated revealed that 'very low' suitability of site covering 4.866% of the study area, 'low' suitability of site 13.190%, 'moderate' suitability of site 31.640%, 'good' suitability of site 32.347%, and 'very good' suitability of site for solar PV power plant encompassing 17.957% of the study area. The sensitivity analysis results show that the solar radiation, relative humidity, and elevation are the most effective on the accuracy of the prediction. The validation of the results shows the accuracy of solar PV power plant prediction using MIF technique in the study area was 81.80%. The integration of GIS and MIF not only enhances the accuracy of site suitability assessment but also provides a practical implementation strategy. This research offers valuable insights for renewable energy policymakers, urban planners, and other stakeholders seeking to identify and develop optimal locations for solar energy power farms in their respective regions.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
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