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Görme engellilerin yaşamlarını kolaylaştıran teknolojik gelişmeler her geçen gün artmaktadır. Cisimlerin renklerini algılama onların sesle bildirimde bulunulması ile olabilmektedir. Bu çalışmada optik tabanlı renk sensörü tasarlanarak bu renkleri, renk kelimel…

Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…

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 …

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…

In this study, mathematical modeling of an ohmic heating system has been done, firstly. Then, two different control approaches, PID and fuzzy logic control, have been considered to control of mathematically modeled ohmic heating system. An optimal PID controll…

A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…

The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…

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…

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

Artificial lighting is an important part of global electricity consumption. At office buildings, the energy consumed by artificial lighting can reach up to 40% of total energy consumption. This work is being done to find solutions to such problems with energy …

Point Cloud is widely used in reverse engineering services and in many architectural works. Because the Point Clouds contain elements that reach the extreme numbers; they have increased the need to develop new methods in their management, presentation and proc…

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achiev…

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

A serial hybrid optical amplifier composing of two amplification stages of erbium-doped fiber (EDF) amplifier covered C-band window and Raman fiber amplifier (RFA) covered L band window demonstrated. In this paper, the optimizations were done to obtain the opt…

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

The updated structural discontinuities of Turkey are determined utilizing Bouguer gravity data in this study. Total horizontal gradient technique was used to reveal the lineaments. This technique is applied to first vertical derivative values of regional gra…