Results 11 to 20 of about 5,476,619 (222)
Feasible Prediction of Multiple Diseases using Machine Learning [PDF]
E3S Web of Conferences, 2023 Automated Multiple Disease Prediction System using Machine Learning is an advanced healthcare application that utilizes machine learning algorithms to accurately predict the likelihood of a patient having multiple diseases based on their medical history ...
Ramesh Banoth +5 more
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DIGITAL ENVIRONMENTAL INVESTMENT FORECAST USING A DECISION TREE MACHINE LEARNING MODEL
Наука Красноярья, 2023 Theoretical foundations for the development of environmental protection measures in Russia and the world, the issues of investing in environmental protection are studied.
Nikolay I. Lomakin +5 more
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Smart E-Commerce: A Novel Lease Option Model for HealthCare Equipment [PDF]
E3S Web of Conferences, 2023 The swift development of e-commerce has significantly altered consumer behavior and the availability of products and services. Online platforms have become essential for both healthcare providers and patients within the field of medical equipment ...
Anjaneyulu M. +5 more
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In-Depth Analysis of Various Artificial Intelligence Techniques in Software Engineering: Experimental Study [PDF]
Journal of Information Technology Management, 2023 In this paper, we have extended our literature survey with experimental implementation. Analyzing numerous Artificial Intelligence (AI) techniques in software engineering (SE) can help understand the field better; the outcomes will be more effective when
Mohd Mustaqeem +3 more
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Interfases, 2022 La gestión de riesgos bancarios puede ser dividida en las siguientes tipologías: riesgo crediticio, riesgo de mercado, riesgo operativo y riesgo de liquidez, siendo el primero el tipo de riesgo más importante para el sector financiero.
Juler Anderson Hermitaño Castro
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 Parallel accelerators, such as GPUs, are a key enabler of large-scale Machine Learning (ML) applications. However, programmers often lack detailed knowledge of the underlying architecture and fail to fully leverage their computational power. This paper proposes GEVO-ML, a tool for automatically discovering optimization opportunities and tuning the ...
Jhe-Yu Liou +3 more
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Prediction of Water Quality with Ensemble Learning Algorithms
Advances in Artificial Intelligence Research, 2023 As monitoring and control of the quality of the water is one of the most important issues in the world since only 74% of the world's population use safely managed water where the water is treated well to reach the minimum limit of safety and quality ...
Fatin ALJARAH, Aydın ÇETİN
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Acta Scientiarum: Animal Sciences, 2007 Avaliou-se o efeito da suplementação de dietas com diferentes promotores de crescimento sobre o desempenho e rendimento de carcaça de frangos de corte de 1 a 42 dias de idade.
Letícia Lorençon +5 more
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Advances in Laboratory Medicine, 2020 The purpose of this study is to understand the evolution of the analytical performance of the laboratories participating in the Spanish society of laboratory medicine (SEQCML) external quality assurance (EQA) programmes during its 30 years of operation ...
Perich Carmen +21 more
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AI driven ECG arrhythmia diagnosis [PDF]
MATEC Web of ConferencesThe accurate and timely diagnosis of cardiac arrhythmias is crucial for effective patient management and improved health outcomes. However, the precise identification of arrhythmias in electrocardiogram (ECG) data often requires specialized medical ...
Manohar Udutha +3 more
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