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Evrimsel algoritma ve parçacık sürü algoritması çok uzun zamandır ayrı ayrı çeşitli karmaşık problemlerin çözümünde yaygın olarak kullanılan sezgisel algoritmalardır. Evrimsel algoritma canlıların çoğalmasını ve hayatta kalmak için en iyilerin seçilmesi tekniğ…

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 …

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

This study offers a comparative analysis of construction risk management practices in the United Kingdom (UK) and Türkiye, focusing on regulatory frameworks, technological integration, and practical methodologies. The UK, utilizing the Construction (Design and…

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…

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…

It is a fact that countries with robust and inclusive health services have a longer life expectancy at birth. Health services aim to improve and maintain health. In order to achieve these objectives, an integrated combination of various activities in which the…

Enerji verimliliği alanındaki çalışmalar hız kesmeden artarken insanların konfor beklentileri de her geçen gün daha fazla yükselmektedir. Bununla birlikte, akıllı binaların sayısı da teknolojik gelişmelere paralel olarak artmaktadır. Günümüzde akıllı binalar h…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

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 …

Çağımızda hızla gelişen teknoloji ve bilgi sistemlerinin birbiri ile entegrasyonu, işletmelere rekabet ortamında varlıklarını sürdürebilme ve gelişme imkanı sağlamaktadır. Bilgi teknoloji sistemlerinden yararlanma yöntemlerinden biri olan Kurumsal Kaynak Pla…

Adaptive research systems can generate, discard, revise, and monitor trading rules faster than their selection history can be audited. We ask when such a system may promote a frozen rule to governed forward evaluation. The proposed protocol assigns each candid…

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…

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 …

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…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

Today's students frequently engage with AI daily, yet many still need to learn the underlying principles. With AI becoming an integral part of modern society, the importance of AI literacy in schools is ever-increasing. This paper discusses the essence of AI l…

Yeraltı su seviyelerinin izlenmesi ve tahmini, su kaynakları yönetimi için kritik bir öneme sahiptir. İklim değişikliği, nüfus artışı ve aşırı su çıkarma gibi etkenler, yeraltı suyu rezervlerine baskı oluşturabilir. Bu nedenle, yeraltı su seviyelerinin izlenme…

Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…