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KOSGEB Girişimcilik Destek Programları ile başarılı işletmelerin kurulması, girişimciliğin desteklenmesi ve girişimciliğin yaygınlaştırılmasını amaçlamıştır. Bu çalışmanın amacı, TR83 bölgesinde yer alan Tokat ilinde, KOSGEB destek programlarından Uygulamalı…

Renewable energy can be produced by using kinetic energy of the flowing water such as rivers, ocean currents and tidal flows. The kinetic energy can be transformed to the power by hydrokinetic turbines. There are many different designs of hydrokinetic turbin…

Size of damage caused by an earthquake depends on the amount of energy released by the current stress accumulation of the active faults and the change over time. Stress accumulation on a fault occurs in two types. These are 1) the long-term tectonic movements …

In today’s developing world, capital needs, which are essential to fulfill an enterprise, still pose a problem despite the subsidies and special funds. The aim of this study is to analyze to what extent the subsidies of SMIDO in Tokat province, which is situa…

The present paper aims to demonstrate the importance of using Embedded Based Home Network Training Equipments to support easy-learning and proficiency of embedded systems, and provide guidance to smart home programing throw the Assistance Environment “ed5967”,…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …

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…

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

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…

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…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …

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…

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…

Biomedical Sciences are the technological disciplines that aim to explore methods to obtain, produce, reveal or produce information related to understand, model, monitor, diagnose, combat problems in human and/or animal bodies. Machine learning in biomedical t…

The soft approach stands for change in traffic policy and regulatory measures which calls for different organization and control of the traffic network. This paper shows examples of best practices which present the possibility of improvement and advancement of…