This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…
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376 results for “Online learning algorithm.”
In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …
The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…
A theoretical design assessment performed here to evaluate the idea of utilizing wave energy in the Red sea to power electric-cargo ships, in the route between Port Sudan and Jeddah Islamic port. The calculated mean wave power in 2018 was (1.4 MW), five wave p…
Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data. Real-world industrial datasets frequently exhibit signific…
Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …
İlk olarak 1999 yılında RFID teknolojisinin kullanımının önerildiği bir sunumda kullanılan Nesnelerin İnterneti kavramı (IoT); cihazların kendi aralarında konuştuğu (veri iletişimi yaptığı, bilgi topladığı, toplanan bilgiler ile karar verdiği) bir ağ yapısı …
This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…
In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…
Airport terminal buildings are a reflection of modern technology, as well as representation of the distinctive identity of each country and contemporary interior design trends. This paper aims to examine the impact biophilic design has on passenger perception.…
COVID-19 (coronavirus disease-2019 pandemic continues to threaten public health and this situation is raising great concern all over the world. With the development of different vaccines, it was aimed to end the epidemic and increase community immunity in the …
The incidence of skin cancer is increasing. Early detection of cases of skin cancer is vital for treatment. Recently, computerized methods have been widely used in cancer diagnosis. These methods have important advantages such as no human error, short diagnosi…
This study aims to examine the feasibility and impact of conducting laboratory experiments, a fundamental component of electrical and electronics engineering education, on a virtual reality (VR)-based platform. The innovative platform, named "VR-EE Lab," provi…
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…
The U-shaped assembly line balancing (UALB) problem has been extensively investigated in the existing academic literature. However, only a limited number of studies consider the uncertainty in the assembly lines. In this research, a robust formulation is devel…
The mobile processors with the increasing computational capabilities and software supports for the devices equipped by them have attracted the researchers’ attention to check whether they can be used for solving complex problems or not. In this study, a mobile…
A useful and flexible method based on the salp swarm algorithm (SSA) for the pattern nulling of linear antenna arrays with the prescribed nulls is presented. SSA is a relatively new population based evolutionary optimization algorithm. Nulling of the pattern i…
İnternette yaygın veri kullanımı ve kapasitesi her geçen gün hızla artmaktadır. Bu nedenle, bu verilerin aktarımı veya iletimi sırasında veri güvenliği önem arz etmektedir. Dolayısıyla, birçok veri şifreleme algoritmaları kullanılmaktadır. Literatürde en yaygı…
Field Programmable Gate Arrays (FPGAs) are configurable logic semiconductor devices which connect by programmable interconnections. They can be reprogrammed to desired application or functionality requirements. VHDL is a one of the hardware descriptive languag…
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…