Titlebook: Advancements in Smart Computing and Information Security; Second International Sridaran Rajagopal,Kalpesh Popat,Sunil Bajeja Conference pro

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https://doi.org/10.1007/978-3-030-96154-1overall GDP. Agriculture is a major component of an argo economy like India’s. The Indian economy benefits from the agricultural sector as well as the industrial sector and foreign import and export trade. Even while the agricultural sector in India currently employs the most people nationwide, its

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https://doi.org/10.1007/978-3-030-96154-1cautionary measures, can completely work on their richness. Recently, ML methods have been widely utilized in the education domain to forecast the performance of students. Predicting higher education rates using machine learning can be approached in several ways, based on the existing data and the d

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News Sentiment and Cryptocurrency Volatilityhniques have been used to do so. Lung cancer segmentation is a process of identifying and isolating lung cancer tissues from medicinal picture like CT or MRI scan images. This process is essential for accurate diagnosis and management planning of lung cancer. Computing techniques can be used to auto

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Gülüzar Kurt Gümüş,Yusuf Gümüş,Ayşegül Çimenn identifying skin cancer regions. CSDM-Deep-CNN is a novel approach for efficient skin disease detection with minimal execution time. CSDM-Deep-CNN leverages deep convolutional neural networks with batch normalization. The objective of this study is to address the complexities in dermatology and th

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News Sentiment and Cryptocurrency Volatilityent in dermatological images can significantly hinder diagnostic accuracy. Existing research primarily focuses on either shape analysis or deep learning techniques individually, with limited consideration of hybrid approaches that can leverage the complementary strengths of both methodologies. To ad

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Burak Pirgaip,Burcu Dinçergök,Şüheda Haşlakof visual deterioration will be greatly lowered by early identification and treatment with DR. Because of the complexity of imaging environments, fundus images are usually hampered by noise and poor contrast problems. This study proposes an algorithm for enhancing image quality by lowering noise and

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