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Akademický článek
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Autor:
Mangesh M. Ghonge, Pradeep Nijalingappa, Renjith V. Ravi, Shilpa Laddha, Pallavi Vijay Chavan
Artificial intelligence advancements, machine intelligence innovations, and semantic web developments together make up semantic intelligence technologies. The edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and nat
The metaverse is not merely a futuristic concept but a tangible force that, when harnessed, can revolutionize patient experiences, care delivery, and outcomes. The global market projection foresees a staggering CAGR of 35.28% and a valuation of $54.4
Since its inception, blockchain has evolved to become a crucial trending technology that massively impacts the fast-paced digital world. It has been a game-changing technology that is underpinned with cryptocurrencies like Ethereum and Bitcoin that e
Machine learning approaches have great potential in increasing the accuracy of cardiovascular risk prediction and avoiding unnecessary treatment. The application of machine learning techniques may improve heart failure outcomes and management, includ
Autor:
B. Sandeep, Pradeep Nijalingappa
Publikováno v:
2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).
The effects of the eye abnormalities are mostly gradual in nature which shows the necessity for an accurate abnormality identification system. Abnormality in retina is one among them. Diabetic Retinopathy (DR) is a disease that causes damage to the r
Autor:
Pradeep Nijalingappa, V. J. Madhumathi
Publikováno v:
2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).
Plant identification based on leaf is becoming one of the most interesting and a popular trend. Each leaf carries unique information that can be used in the identification of plants. In the identification of plants based on leaf, the leaf images need