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Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authority (PoA)—based on en…

The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…

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…

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

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 …

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…

Post-quantum cryptographic standardization is complete for the algorithms that matter most, yet adoption across financial infrastructure remains uneven and, in critical segments, largely absent. This paper argues that migration is no longer a research question…

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

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…

The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…

Haptic devices are used in a variety of virtual reality applications in order to allow user interaction with virtual objects. These devices transfer user comments such as rotations, transitions or deformations to the virtual environment and also transfer any r…

Ball and beam system is an experimental set for control system design that the position of the ball on a beam is changed with respect to the reference direction by changing the angle of the beam. The PID controller is applied to this problem. The performance o…

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 …

Bu çalışmada Yapay Bağışıklık Sistemine(YBS) dayalı Klonal Seçim Algoritması'nın (KSA) Matlab ortamında yazılımı gerçekleştirilmiştir. Ayrıca KSA'na koşul tabanlı bir yapı eklenerek geliştirilmiştir. Geliştirilen Koşul-Tabanlı Klonal Seçim Algoritması (KT-KSA)…