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 …
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172 results for “Convolution Neural Network”
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…
Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…
The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …
Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …
The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …
Monitoring and management of storage and material consumption processes in silo systems. In this study, a CAN BUS-based sensor network was developed for the control of silo systems, the filling and discharging of materials into silos and the protection of mate…
Increasing in wireless communications systems is caused to increase in the need of the frequency spectrum. CR (Cognitive Radio) measure or sense frequency spectrum activities on spectrum bands whether they are idle or used by licensed users. According to sensi…
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…
Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered breathing have different sleep quality parameters such as cyclic alternating pattern phases and A subtype phases. This study aims to analyze and predict the A phase subtypes from…
In the analysis of the flood routing problem, it is necessary to determine the change of the flood wave moving through the channel according to time and location, and in this context, nonlinear 3-parameter Muskingum model (NL-MUSK) is widely used. The parame…
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…
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…
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 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…
A microgrid is a power grid consists of distributed power generation units and loads. Microgrid is also a system that can operate in grid-connected mode and islanding (autonomous) mode. The control of distributed power generation units in microgrids is necessa…
In this study, a single switch cascade DC/DC boost converter has been preferred instead of conventional cascade DC/DC boost converter to reduce cost and provide simple system control. High-performance controller design for DC/DC converters is the most importan…
For many years, the biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while o…
Supplier selection and measurement of supplier performance are multiple criteria decision making (MCDM) problems and have a strategic importance for all industries. Supplier performance measures is a tool to determine whether suppliers are doing their job as e…
Robot algorithms require faster and more efficient computing due to increasing integration of robot arms to automation systems and expanding capabilities of robotic systems. Inverse kinematics calculations used in trajectory generation is one of these algorith…