WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653
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Article Citation - WoS: 0Citation - Scopus: 0Ordered Clustering-Based Semantic Music Recommender System Using Deep Learning Selection(Tech Science Press, 2025) Ha, Weitao; Gang, Sheng; Navaei, Yahya D.; Gezawa, Abubakar S.; Nanehkaran, Yaser A.Music recommendation systems are essential due to the vast amount of music available on streaming platforms, which can overwhelm users trying to find new tracks that match their preferences. These systems analyze users' emotional responses, listening habits, and personal preferences to provide personalized suggestions. A significant challenge they face is the "cold start" problem, where new users have no past interactions to guide recommendations. To improve user experience, these systems aim to effectively recommend music even to such users by considering their listening behavior and music popularity. This paper introduces a novel music recommendation system that combines order clustering and a convolutional neural network, utilizing user comments and rankings as input. Initially, the system organizes users into clusters based on semantic similarity, followed by the utilization of their rating similarities as input for the convolutional neural network. This network then predicts ratings for unreviewed music by users. Additionally, the system analyses user music listening behaviour and music popularity. Music popularity can help to address cold start users as well. Finally, the proposed method recommends unreviewed music based on predicted high rankings and popularity, taking into account each user's music listening habits. The proposed method combines predicted high rankings and popularity by first selecting popular unreviewed music that the model predicts to have the highest ratings for each user. Among these, the most popular tracks are prioritized, defined by metrics such as frequency of listening across users. The number of recommended tracks is aligned with each user's typical listening rate. The experimental findings demonstrate that the new method outperformed other classification techniques and prior recommendation systems, yielding a mean absolute error (MAE) rate and root mean square error (RMSE) rate of approximately 0.0017, a hit rate of 82.45%, an average normalized discounted cumulative gain (nDCG) of 82.3%, and a prediction accuracy of new ratings at 99.388%.Article Citation - WoS: 0Citation - Scopus: 0Timbre of the Place: a Deleuzoguattarian Inquiry To Assemble Music and Place(Sage Publications inc, 2025) Golgelioglu, Can; Ataov, AnliThis study explores the potentials of affects and music in terms of Deleuzoguattarian assemblage thinking. It adopts music as an emancipatory medium to comprehend the post-representative emergences and the togetherness of affective relationalities in place experiences. The study presents an experiential inquiry of composing the musical pieces of two contrasting places and deciphering the spatial stimuli of two contrasting musical pieces. The findings suggest that music, with its rich relational and affective qualities, can significantly contribute to the understanding of places as it transcends the traditional representational mediums, allowing for a deeper appreciation of urban environments' complexities and self-organizing nature.Article Citation - WoS: 0Citation - Scopus: 1Integrating Recycled Asphalt Pavement and Warm Mix Additives for Enhanced Performance and Reduced Emissions in Asphalt Mixtures(Elsevier, 2025) Viktorovich, Gladyshev Nikolai; Almusawi, Ali; Shoman, Sarmad; Lupanov, Andrei P.; Albdairi, MustafaThis research explores the effects of integrating recycled asphalt pavement (RAP) with various warm mix asphalt (WMA) additives on the production and performance of asphalt concrete mixtures. The main goal is to improve these mixtures' mechanical properties and environmental sustainability by decreasing the production temperature and reducing harmful emissions. The WMA additives tested-CCBit 113 CE, Rediset WMX 8017, Evotherm J-1, Sylvaroad RP1000, ZycoTherm, Amphoteric type DAD-1, and Adgezol 3-TD-vary in composition, including wax-based, amide-based, polyol ether, and surfactant additives, each influencing asphalt properties differently. Laboratory experiments evaluated enhancements in density, compressive strength, water resistance coefficient, and water saturation. The findings show that these additives significantly boost the mechanical properties of asphalt concrete and lower production temperatures by 40-50 C, reducing it from 145 to 155 C to 100-110 degrees C and consequently decreasing emissions of harmful substances like carbon monoxide. Furthermore, the study features a field performance evaluation in partnership with industry collaborators at a pilot section on Yegoryevskoye Highway, Moscow, Russia. This thorough assessment confirms the practicality and advantages of combining RAP and WMA additives in asphalt concrete production, offering a sustainable approach to road construction.Article Citation - WoS: 0Citation - Scopus: 0Convolutional Neural Network-Based Deep Learning for Landslide Susceptibility Mapping in the Bakhtegan Watershed(Nature Portfolio, 2025) Feng, Li; Zhang, Maosheng; Mao, Yimin; Liu, Hao; Yang, Chuanbo; Dong, Ying; Nanehkaran, Yaser A.Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. To address this gap, this study employs a deep learning approach, utilizing a convolutional neural network (CNN) for high-precision landslide susceptibility mapping in the Bakhtegan watershed, southwestern Iran. A comprehensive landslide inventory was compiled using 235 documented landslide locations, validated through remote sensing and field surveys. An equal number of non-landslide locations were systematically selected to ensure balanced model training. Fifteen key conditioning factors-including topographical, geological, hydrological, and climatological variables-were incorporated into the model. While traditional statistical methods often fail to extract spatial hierarchies, the CNN model effectively processes multi-dimensional geospatial data, learning intricate patterns influencing slope instability. The CNN model outperformed other classification approaches, achieving an accuracy of 95.76% and a precision of 95.11%. Additionally, error metrics confirmed its reliability, with a mean absolute error (MAE) of 0.11864, mean squared error (MSE) of 0.18796, and root mean squared error (RMSE) of 0.18632. The results indicate that the northern and northeastern regions of the Bakhtegan watershed are highly susceptible to landslides, highlighting areas where proactive mitigation strategies are crucial. This study demonstrates that deep learning, particularly CNNs, offers a powerful and scalable solution for landslide susceptibility assessment. The findings provide valuable insights for urban planners, engineers, and policymakers to implement effective risk reduction strategies and enhance resilience in landslide-prone regions.Article Citation - WoS: 0Citation - Scopus: 0Vertical Self-Assembly of Gold Nanoworms for Sensitive Surface-Enhanced Raman Spectroscopy-Based Trace Detection(Amer Chemical Soc, 2025) Khan, Ghazanfar Ali; Demir, Ahmet Kemal; Demirtas, Ozge; Tasgin, Dilek Isik; Bek, Alpan; Bhatti, Arshad Saleem; Ahmed, WaqqarThe assembly of anisotropic nanoparticles into closely packed structures results in unique functionalities. Herein, we report a 3D multilayer vertical assembly of worm-shaped Au nanoparticles using a carefully regulated evaporation-induced deposition method. With the evaporation of the nanoworm (NW) suspension, the concentration of NWs in the suspension gradually increases, which generates a balance between electrostatic interactions and entropically driven attraction to produce multilayer vertical assemblies. These assemblies exhibit enhanced surface-enhanced Raman scattering (SERS) signals due to the presence of a high concentration of hotspots. Moreover, in contrast to nanorods, the bent morphology of NWs creates pores in the vertical assembly, enabling the analyte molecule to penetrate the assembly and access hotspots. Picomolar to micromolar concentrations of rhodamine 6G (R6G) were detected with the NW assembly-based SERS substrate with excellent linearity and uniformity of the signal with a spot-to-spot relative standard deviation (RSD) of only 8.9%. The SERS substrates were also employed for trace detection of ammonium nitrate, which is a well-known constituent of homemade explosives. Our method of producing multilayer vertical assemblies of NWs is simple, highly sensitive, stable, and reproducible for making effective SERS sensors for the quantitative detection of analytes.Article Citation - WoS: 0Citation - Scopus: 0Unveiling the Strain Uniformity Challenge: Design and Evaluation of a Pdms Membrane for Precise Mechanobiology Studies(Taylor & Francis Ltd, 2025) Duz, Nilufer; Gulsum, Yasin; Odeibat, Waleed; Uyanik, Ismail; Akar, Samet; Dincer, PervinMechanotransduction and mechanosensing enable cells to respond to mechanical stimuli, essential in various physiological functions. Specialized cell stretching devices use stretchable, transparent, and biocompatible elastomeric membranes to study these responses. However, achieving strain uniformity is a key challenge, affecting data accuracy and reliability. This study designed a polydimethylsiloxane (PDMS) membrane with optimized uniformity for electromechanical cell stretching. Finite element analysis optimized membrane size and shape, achieving a 90% strain uniformity index-a 233% improvement over commercial membranes. By tailoring material properties like cross-linker ratio and curing time, membrane failure issues were resolved, enhancing applications in tissue engineering and mechanobiology research.Article Citation - WoS: 0Citation - Scopus: 0Performance Analysis of Dielectric Application Methods in Electrical Discharge Machining(Sage Publications Ltd, 2025) Cogun, Can; Tosun, NihatA lack of comprehensive research exists on the machining performance of the reciprocating electrode method (REM) compared to other dielectric application methods (DAMs), particularly the commonly used side flushing method (SFM) in electric discharge machining. This study aims to investigate the performance outputs of the two methods under varying machining parameters through experimental and statistical analysis to fill the gap in the field. The impact of each machining parameter and DAM on the critical performance outputs was also determined using the analysis of variance (ANOVA). The study employed signal-to-noise ratio analysis to ascertain the optimal machining parameter settings. It has been demonstrated that the REM has several advantages over the SFM, including a 2-25% reduction in average surface roughness, a 5-70% decrease in electrode wear rate, a smoother workpiece surface, and sharper edges. However, the SFM exhibits a higher workpiece removal rate and less relative wear (RW) than the REM. The ANOVA revealed that the primary factor influencing the RW was the pulse time, followed by the discharge current and the DAM. Similarly, the discharge current was the primary factor affecting the average roughness and mean spacing between successive profile peaks, followed by the pulse time.Article Citation - WoS: 0Citation - Scopus: 0A Sustainable Decision-Making Framework To Evaluate Land and Seaside Disposal Options for Tunnel Spoil: A Case Study of Trabzon(Science Press, 2025) Dincer, Ali Ersin; Demir, Abdullah; Ozturk, Sevki; Yilmaz, KutaySustainable urbanization is essential for developing cities. To ensure the success of planned construction projects, designers must prioritize sustainability by lowering emissions and reducing costs. Tunnel projects are common worldwide, but disposing of the excavated material presents a significant challenge due to unsuitable geographic conditions. While coastal cities with mountainous terrains have historically used spoil for sea filling, this study offers alternative landside options to promote sustainability. By using a conventional analytical hierarchy process (AHP) method for multi-criteria decision-making (MCDM), the study evaluates land use, sustainability, slope, and drainage lines as constraints for the AHP method. The transportation-related greenhouse gas (GHG) emissions are also considered to reduce environmental damage. Particle swarm optimization is used to determine the minimum transportation distance from the excavation zone to the dumpsite. As a sub-criteria of land use, the seaside is also considered a dumpsite compared with other options on the land side. The spatial analysis results of the case study show that suitable landside sites are available for the Trabzon tunneling project. Although coastal areas in Trabzon have been used for spoil dumping for filling purposes in the past, landside deposition is a viable alternative. The suitability ranks of land and coastal filling options are relatively similar, and selecting the seaside as the dumpsite for the Trabzon tunneling project reduces CO2 emissions. By adopting sustainable practices, we can realize a better future for our cities and the environment.Article Citation - WoS: 0Arbitrary Beam Propagation in an Underwater Turbulent Medium(Optica Publishing Group, 2025) Turan, Mehmet Furkan; Arpali, Caglar; Baykal, YahyaThe average intensity for an arbitrary optical beam is obtained and presented by introducing propagation in underwater turbulence for arbitrary shaped optical beams that can be expressed by the known and newly generated source profiles. The received intensity of the arbitrary optical beam is found, and the effect of underwater turbulence on the received intensity is analyzed. The arbitrary source field profile is generated by dividing the source plane into pixels and by assigning the required amplitude and phase to each pixel. The average received intensity distributions are presented in the presence of underwater turbulence for different types of beams, such as the known Gaussian beam, arbitrary beams of chess board shape, and a beam consisting of the initial letters of our & Ccedil;ankaya & Uuml;niversitesi, & Ccedil;.& Uuml;. Our results can be used in applications such as underwater optical imaging systems, reflection from rough surfaces underwater, underwater wireless optical communication links, and underwater optical cryptography. (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.Article Citation - WoS: 0Adaptive Optics Applied To the Scintillation Index in Tissues(Optica Publishing Group, 2025) Baykal, YahyaMitigation of the scintillation index of a collimated Gaussian beam, occurring in a turbulent tissue, is investigated by applying adaptive optics. Tilt and astigmatism types of adaptive optics corrections are applied, and the reduction in the tissue scintillations, referenced to no adaptive optics (No AO) scintillations, is reported for tilt only (T Only), astigmatism only (A Only), and total (T + A) adaptive optics correction. Reduction in the scintillations is analyzed against the tissue length, Gaussian laser beam source size, wavelength, receiver aperture diameter, and the tissue turbulence parameters, which are the strength coefficient of the refractive-index fluctuations, fractal dimension, characteristic length of heterogeneity, and small length-scale factor. Finally, the adaptive optics effect on the scintillations is reported for some specific tissue types of liver parenchyma (mouse), intestinal epithelium (mouse), and upper dermis (human). (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.Article Citation - WoS: 0Citation - Scopus: 0No-Regret and Low-Regret Control for a Weakly Coupled Abstract Hyperbolic System(Wiley, 2025) Louafi, Meriem; Messaoudi, Mohammed; Abdeljawad, Thabet; Jarad, FahdThis paper explores an optimal control problem of weakly coupled abstract hyperbolic systems with missing initial data. Hyperbolic systems, known for their wave-like phenomena and complexity, become even more challenging with weak coupling between subsystems. The study introduces no-regret and low-regret control strategies to handle missing information and achieve optimal performance. By deriving the Euler-Lagrange optimality system, it characterizes these control approaches in the context of weak coupling. Additionally, the paper establishes the existence and uniqueness of a no-regret and low-regret control, emphasizing the influence of uncertain coupling parameters. These findings are optimal control strategies for abstract weakly coupled hyperbolic systems under uncertainty. Finally, as highlighted in our conclusion, future research could explore integrating memory effects through fractional derivatives to improve the modeling of viscoelasticity, diffusion with memory, and wave damping.Article Citation - WoS: 0Advanced Rheological Characterization of Asphalt Binders Modified With Eco-Friendly and Polymer-Based Additives Under Dynamic Loading(Mdpi, 2025) Almusawi, Ali; Nasraldeen, Shvan Tahir NasraldeenThis study explores the rheological performance of bitumen modified with a synthetic polymer (styrene-butadiene-styrene, SBS) and two environmentally sustainable additives-animal bone ash (AB) and waste cooking oil (WCO)-to enhance durability and deformation resistance under dynamic loading. Frequency sweep and linear amplitude sweep (LAS) tests were conducted to evaluate viscoelastic and fatigue behavior. SBS at 5% showed the highest elasticity and fatigue life, making it optimal for heavily trafficked pavements. Among bio-waste additives, 6% AB provided the highest stiffness and rutting resistance in laboratory tests; however, 5% AB offered a better balance between structural integrity and cracking resistance, making it more suitable for general pavement applications. WCO-modified binders demonstrated improved flexibility, with 4% WCO achieving the best balance between elasticity and softening, ideal for low-load or temperate environments. These results highlight the potential of combining synthetic and bio-based waste materials to tailor bitumen properties for sustainable and climate-responsive pavement design.Article Citation - WoS: 0Citation - Scopus: 0An Innovative Showcase of Similarity Methods for Accelerated Turbine Design Processes and Cost-Effective Solutions(Taylor & Francis Ltd, 2025) Kantar, Ece Nil; Ayli, Ece; Celebioglu, KutayThis study aims to design a containerized Francis-type turbine for installation on drinking water pipelines equipped with pressure-reducing equipment, enabling energy recovery from untapped hydraulic resources. The turbine, designed to operate unmanned and housed within a container, represents an innovative approach to harnessing residual energy in drinking water pipelines. The research methodology leverages similarity laws derived from a previously developed high-efficiency turbine facility as a foundation for the preliminary design. This approach diverges from conventional turbine design methods, offering significant time and cost efficiencies. It should be noted that similarity laws were used only for the preliminary dimensioning of the scale turbine. Following this initial design, design optimizations were carried out based on CFD, focusing on components such as the runner, to enhance performance and achieve the required power output without cavitation at the specified flow rate and head. The results demonstrate that the application of similarity laws expedites the design process while maintaining high efficiency, effectively addressing the unique constraints of the operational environment. Additionally, the study provides a comprehensive analysis of the advantages and limitations of employing similarity in turbine design. In conclusion, this research not only exemplifies a novel turbine design methodology that ensures operational similarity but also serves as a practical guide for reducing costs and design timelines in small hydropower applications.This now clearly states that similarity was used for the preliminary dimensioning, followed by optimization based on CFD.Article Citation - WoS: 0Fractional Systems With Multi-Parameters Fractional Derivatives(Springer/plenum Publishers, 2025) Muslih, Sami I.; Agrawal, Om P.; Baleanu, DumitruRecently, a generalization of fractional variational formulations in terms of multiparameter fractional derivatives was introduced by Agrawal and Muslih. This treatment can be used to obtain the Lagrangian and Hamiltonian equations of motion. In this paper, we also extend our work to introduce the generalization of the formulation for constrained mechanical systems containing multi-parameter fractional derivatives. Three examples for regular and constrained fractional systems are analyzed.Article Citation - WoS: 0Citation - Scopus: 0On Conformable Fractional Newton-Type Inequalities(World Scientific Publ Co Pte Ltd, 2025) Xu, Hongyan; Awan, Muhammad uzair; Meftah, Badreddine; Jarad, Fahd; Lakhdari, AbdelghaniBy using a parametrized analysis, this paper presents a study that focuses on examining both the Simpson's 3/8 formula and the corrected Simpson's 3/8 formula. By utilizing a unique identity that incorporates conformable fractional integral operators, we have constructed novel conformable Newton-type inequalities for functions that possess second-order s-convex derivatives. Special cases are extensively discussed, and the accuracy of the results is validated through a numerical example with graphical representations.Article Citation - WoS: 0Citation - Scopus: 0Ant Colony Optimization for Solving Large-Scale Bi-Level Network Design Problems(Pergamon-elsevier Science Ltd, 2025) Yakici, Ertan; Karatas, MumtazIn this study, we consider a bi-level hierarchical network design problem that encompasses both gradual and cooperative coverage. The lower-level facility serves as the primary point of contact for customers, while the upper-level facility acts as a supplier for the lower-level facilities. We first present a mathematical formulation of the problem, followed by an Ant Colony Optimization (ACO) approach to solve it. We then compare the performance of our method with commercial exact solvers. Our experiments, conducted on instances of various sizes, show that while exact methods may succeed in the long run, our heuristic provides a fast and reliable option for operational decisions that need to be made in a short period of time. In nine out of twelve instances, the exact solver failed to find a feasible solution within three hours for the high-budget case and two hours for the low-budget case. In contrast, our heuristic had run times between 0.1 and 0.4 h for 50 iterations. We also compare the performance of ACO with that of a Genetic Algorithm (GA) to evaluate its effectiveness among heuristics. Our numerical results demonstrate that ACO outperforms GA. This study contributes to the literature by offering a solid theoretical framework for the problem and implementing ACO to solve a bi-level facility location problem. Our results demonstrate that ACO can deliver good solutions in a reasonable time and serves as a promising alternative.Article Citation - WoS: 0Citation - Scopus: 0Scintillations of Higher-Order Optical Beams in Biological Tissues(Optica Publishing Group, 2025) Baykal, Yahya; Gokce, Muhsin Caner; Ata, Yalcin; Gercekcioglu, HamzaThe Scintillation index of a higher-order laser beam in turbulent biological tissue is formulated and evaluated. Behaviors of the scintillation indices of various higher-order beams against the tissue turbulence parameters of the strength coefficient of the refractive index fluctuations, fractal dimension, characteristic length of heterogeneity, small length-scale factor, and the source size, tissue length, and wavelength are examined. Fluctuations in the intensity are also investigated when various types of tissues, such as the intestinal epithelium (mouse), liver parenchyma (mouse), and upper dermis (human), are excited by different higher-order laser beams. (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.Article Citation - WoS: 0Citation - Scopus: 0John-Lowner Ellipsoids and Entropy of Multiplier Operators on Rank 1 Compact Homogeneous Manifolds(Steklov Mathematical inst, Russian Acad Sciences, 2025) Kushpel, A. K.We present a new method of the evaluation of entropy, which is based on volume estimates for John-Lowner ellipsoids induced by the eigenfunctions of Laplace-Beltrami operator on compact homogeneous manifolds M-d of rank 1. This approach gives the sharp orders of entropy in the situations where the known methods meet difficulties of fundamental nature. In particular, we calculate the sharp orders of the entropy of the Sobolev classes W-p(gamma) (M-d), gamma> 0, in L-q(M-d), 1 <= q <= p <= infinity. Bibliography: 35 titles.Article Citation - WoS: 0Citation - Scopus: 0Contextual, Formal and Correlational Examination of Article Titles Published in International Indexed Journals in the Field of Educational Sciences(Turkish Education Assoc, 2025) Topaloglu, Mulkiye Ezgi Iskender; Gurbuz, Nihal Elif; Cagiltay, Nergiz; Goktas, YukselSince appropriate title writing is an important variable in terms of publishing and citing an article, this research examines the titles of internationally indexed articles published in the field of educational sciences in terms of content and format. Document analysis was conducted by reviewing 800 articles and titles in the Web of Science database according to the criteria determined by the researchers based on the literature. Statistical analyses were made using the SPSS 27.0 program on the content and title compatibility data. The finding showed that the sentence structure of the articles differed according to the countries of origin of the journals in which they were published. In addition, it was found that the titles of the journals with high impact factor gave their methodological tendencies more clearly. It was found that the impact factor is linearly and medium related to reaching potential title standards and word count. Analysis by quartile factors of journals showed that potential content standards differed significantly in favor of Q1 journals. According to the results of the difference analysis for the journals, there is a statistically significant difference between the four journals in terms of title potential standards and a ranking as Review of Educational Research (Q1), Education and Science (Q4), Educational Researcher (Q1) and Pedagogy (Q4) has emerged according to the averages. Within the scope of the results obtained, some suggestions were made to guide researchers in creating titles for their scientific studies.Article Citation - WoS: 0Citation - Scopus: 0On the Quantitative Weighted Generalization of Jafari Transform(Univ Nis, Fac Sci Math, 2025) Yazici, Serdal; Cekim, Bayram; Jarad, Fahd; Jafari, HosseinIn this paper, a quantitative weighted transform based on the Jafari transform is proposed, and the mathematical foundations of this new transform are investigated. In the first section, some information about Jafari transform and some mathematical tools are reviewed. In the second section, the quantitative weighted Jafari transform is introduced, its existence guaranteed through a theorem, and its fundamental properties are examined. Additionally, transforms of the fractional derivative and fractional integral of a function with respect to a function h and a w-weight are obtained. In the third section, the theoretical findings are applied to solve classical and fractional initial value problems based on a function h and w-weight. In the last section, the results are discussed.
