Results 181 to 190 of about 418,704 (219)

Prediction of CO2 emission from greenhouse to atmosphere with artificial neural networks and deep learning neural networks

International Journal of Environmental Science and Technology, 2021
The research aimed to model CO2 flux from soil to atmosphere in greenhouse conditions, using multiple linear regression (MLR) artificial neural networks (ANN), and deep learning neural networks (DLNN). Following the purpose, crop species, soil temperature, soil moisture content, photosynthetic active radiation (PAR), and soil oxygen exchange were ...
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Improving early prostate cancer diagnosis by using Artificial Neural Networks and Deep Learning

2018 4th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2018
Prostate cancer could be diagnosed by routine controls such as biopsy. But considering prostate biopsy side effects, using automated tools along with some selected features in early diagnosis of this cancer seems necessary. Even though production of this tool previously has been done, but the importance of the issue binds us to increase its accuracy as
Hengame Abbasi Mesrabadi, Karim Faez
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Artificial Neural Networks, Deep Learning and Computer Vision

This book provides a comprehensive exploration of Artificial Neural Networks, Deep Learning, and Computer Vision, collectively transforming the artificial intelligence landscape. It offers insights into the latest advancements, technologies, and applications, blending theoretical foundations with practical implementations.
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Metaheuristic optimization for artificial neural networks and deep learning architectures

Classical minimization methods, like the steepest descent or quasi-Newton techniques, have been proved to struggle in dealing with optimization problems with a high-dimensional search space or subject to complex nonlinear constraints, in addition to requiring continuous cost functions.
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Obtaining genetics insights from deep learning via explainable artificial intelligence

Nature Reviews Genetics, 2022
German E Novakovsky, Nick C Dexter, Maxwell W Libbrecht   +2 more
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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Medical Image Analysis, 2022
Bas H M Van Der Velden, Hugo J Kuijf, Kenneth Gilhuijs   +2 more
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Physical Artificial Neural Networks - Optical and Atomic Approaches to Deep Learning

In recent years, machine learning techniques have found countless applications in industry, research, as well as everyday life. The realization of such systems relies heavily on the ever-growing capabilities of digital computing systems. However, physical systems, and especially their dynamics, have already proved their potential to be alternative ...
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Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Automation in Construction, 2022
Kasun Shanaka Kristombu Baduge, Pejman Sharafi, Priyan Mendis   +2 more
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Cognitive Robotics, 2023
Mohsen Soori
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Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2020
Xiaofei Wang, Yiwen Han, Victor C M Leung   +2 more
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