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This work suggests a newly developed partial transmit sequence (PTS) approach consisting of the hybridization of two efficient algorithms, namely, the grey wolf optimization (GWO) algorithm and the sine cosine algorithm (SCA). The SCAGWO-based PTS technique is…

The utilization of renewable energy sources is being enlarged daily to meet the escalating energy needs around the world. Solar energy, like other renewable energy sources, occupies an important place in the energy generation sector. Since it is important to i…

In the present study, a model drug, with its low permeable and low aqueous soluble properties, was selected to produce microparticles using an anti-solvent precipitation technique with two different drugs: polymer (0.5, 1.0, w/v %) ratios. The characterization…

One of the significant factors that should be examined when performing a thermoluminescence (TL) study related to a natural material is the detection of the trap depth. The various heating rate (VHR) method is one of the practical methods used in the calculati…

Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…

Bu çalışmada birer adet ikili Al-9Si, üçlü Al-9Si-0,1Sr ve dörtlü Al-9Si-0,1Sr-0,6Mg alaşımı indüksiyonlu ergitme ocağında ergitme ve oda sıcaklığında tutulan kokil kalıba döküm yöntemi ile üretildi. Alaşımların yapısal ve mekanik özellikleri üretilen alaşım k…

The major part of freight transportation in Turkey is conducted by highway, the increase in the number of trucks and other heavy vehicles, as well as legislations allowing an increase in axle load that lead to deterioration such as rutting in flexible road pav…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…

The use of neon indictor lamp glow discharge detectors (GDDs) has a relatively great potential for a number of microwave detecting and imaging applications. This is so because of their many advantages which include but not limited to; low cost, fast response t…

The column materials in the form of monodisperse and porous particles were synthesized with regard to test their column performances in Ion Exchange Chromatography (IEC) mode. Particles in the form of poly(glycidil methacrylate-coethyleneglycol dimethacrylate)…

The column materials in the form of monodisperse and porous particles were synthesized with regard to test their column performances in Ion Exchange Chromatography (IEC) mode. Particles in the form of poly(glycidil methacrylate-coethyleneglycol dimethacrylate)…

Flexible job shop scheduling problem (FJSSP) contains two sub-problems, that is, routing and scheduling. Each operation is assigned to a machine among a set of alternative machines in the routing sub-problem, whereas the assigned operations on all machines are…

Fotovoltaik (FV) sistemler birkaç W’dan, MW’a kadar ölçeklendirilebilmesi gibi özelliklerinden dolayı en çok yaygınlaşan yenilenebilir enerji kaynağı türüdür. Bu enerji kaynağından en yüksek oranda yararlanılabilmesi maksimum güç noktasını izleyen (MPPT) dönüş…

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

Evrimsel algoritma ve parçacık sürü algoritması çok uzun zamandır ayrı ayrı çeşitli karmaşık problemlerin çözümünde yaygın olarak kullanılan sezgisel algoritmalardır. Evrimsel algoritma canlıların çoğalmasını ve hayatta kalmak için en iyilerin seçilmesi tekniğ…

Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …

Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…

Although numerous amounts of research have been done to find alternate sources of energy consumption and its applications. But in times of energy crisis and global warming urgency, it is needed to pace towards methods of less dependency on fossil fuels in the …

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…