The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…
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138 results for “Generative Adversarial Networks”
This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…
In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…
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…
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 …
With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…
Wireless sensor network (WSN) is a distributed system usually comprising a set of autonomous sensors nodes. These sensors are physically small in size and are capable to communicate with each other and capable of conveying data to recipients. In a large number…
The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …
The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …
Mimarlık eğitimi öğrencilerin karmaşık tasarım problemi hakkında kendi yaratıcı düşünceleri ile geliştirdikleri özgün tasarım yaklaşımlarını içerir. Mimari tasarım stüdyosunda izlenen yöntemler, eğiticinin gösterdiği yollar, tasarımcının deneyimleri ve izlediğ…
Social networks are formed from interactions of peoples. Measuring the degree of those relationships requires interpreting connectivity of vertices and extracting information from it. Generally individuals form smaller sub-communities in those networks. Identi…
Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…
The rapid increase in the world population and climate change due to industrialization require the preservation and sustainability of existing water resources. The calculation of drainage networks that are directly related to watershed management is very impor…
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…
With development of technology, humanity has entered to age of information. In this era, there is big development has been existed on software’s. With these technological developments, artificial intelligence and virtual reality subjects are one of the most …
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-…
Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …
In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…
Today, artificial intelligence, which has been used in all areas of life, has been used effectively in real estate housing market researches. Artificial intelligence, one of the techniques of artificial intelligence, inspired by the working principle of human …
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…