Çok-modlu medikal görüntü birleştirme, görüntü kalitesini artırmak için iki ya da daha fazla medikal görüntünün birleştirilmesidir. Tıbbi görüntüleme sağlık alanında teşhis, araştırma ve tedavide önemli bir rolü üstlenmektedir. Tanı ve tedavide daha doğru klin…
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8 results for “Environmental Impact Assessment”
This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…
Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…
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…
Gelişen teknoloji birçok alanda alışkanlıklarımızı değiştirmekte etkili olmaktadır. Günümüzde restoranlar, yemek sektöründeki rekabetin artmasıyla birlikte müşterilerine farklı ve yaratıcı yemekler sunmak için çaba göstermektedirler. Bu nedenle, artırılmış ger…
In latest years, UAVs are widely used in many areas. Their advantages attracts researches all around the world. When UAVs are wanted to be used effectively, swarm systems offer better and more advantageous solutions. Using a UAV swarm has some advantages over …
Leveraging the robust potential inherent in large language models, their profound and pervasive impact has transcended various domains in recent years, ushering in their widespread integration across diverse sectors. In resonance with this predominant trend, t…
Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …