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Otonom araçların hukuki sorumluluğunun Türk ve Alman hukuku kapsamında değerlendirilmesi
(2020)
Bir bilgisayar bilimi kavramı olan yapay zeka her gün gelişen teknoloji ile daha çok hayatımıza dahil olmaktadır. İnsanların yaptığı
birçok işlemi yerine getirebilen bu makineler gün geçtikçe hayatımızın vazgeçilmez ...
Multi-objective deep learning framework for COVID-19 dataset problems
(2023)
Background: It has been reported that a deadly virus known as COVID-19 has arisen in China and has spread rapidly throughout the country. The globe was shattered, and a large number of people on the planet died. It quickly ...
Design of an orally disintegrating tablet formulation containing metoprolol tartrate in the context of quality by design approach
(Marmara University Press, 2021)
Orally Disintegrating Tablets (ODTs) are solid dosage forms that rapidly disintegrate or dissolve to release
the drug upon contact with saliva in the mouth. As these tablets require special attention during formulation ...
Yapay zekâ ve robotların eylemlerinden kaynaklanan cezai sorumluluk sorunu
(Ankara Barosu Dergisi, 2021)
Son yıllarda yapay zekâya sahip teknolojilerin gelişmesinin hayatlarımızı öngörülemez bir şekilde değiştirdiği ortadadır. Günümüzde, robotik cerrahi ameliyatlarından, insana ihtiyaç duymaksızın hedeflenen noktaya erişebilen ...
A supervised learning algorithms for consumer product returns case study for FLO offline stores
(Springer Science and Business Media, 2022)
One of the key dimensions of customer loyalty is consumer product returns, which are critical for success and quality of services. For this reason, manufacturers and retailers need to consider operational challenges for ...
Türk ve Alman hukukunda tıp alanındaki dijitalleşme sürecinin yarattığı yeni hukuksal sorunlar
(2020)
Her geçen gün gelişmekte olan yapay zekâ, tıp ile birleşince
ortaya insanlık için birtakım kolaylıklar ve yeni hukuksal sorunlar
çıkmaktadır. Yeni tartışmaların odağında olan tıp alanındaki dijitalleşme süreci hem Alman ...
Improving operational efficiency of government using artificial intelligence
(IOP Publishing Ltd, 2020)
In this paper we developed a technique for Improving the operational efficiency of the government using Artificial Intelligence, we discussed the concept of insurance and how the concept of insurance will change and ...
Expert system for classification of nutrition in young children
(Institute of Electrical and Electronics Engineers Inc., 2022)
As an expert system, it is a computer program that is supposed to represent the ability to solve problems (a human expert). The forward sequencing approach, which is a logical method that uses logical reasoning to move ...
Using ANN to predict gender-based violence in Iraq: how AI and data mining technologies revolutionized social networks to make a safer world
(Institute of Electrical and Electronics Engineers Inc., 2022)
With prevalence of social network and invasion of internet, a new type of violence is threatened the world and especially the women. Gender-Based Violence considered a new generation of threat which results unsafe environment ...
Radiomics-based machine learning models for prediction of medulloblastoma subgroups: a systematic review and meta-analysis of the diagnostic test performance
(2022)
Background: Medulloblastomas are a major cause of cancer-related mortality in the pediatric population. Four molecular groups have been identified, and these molecular groups drive risk stratification, prognostic modeling, ...