Results 281 to 290 of about 422,144 (319)

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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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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SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

Computer Methods in Applied Mechanics and Engineering, 2021
Ehsan Haghighat, Ruben Juanes
exaly  

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

Proceedings of the IEEE, 2021
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin   +2 more
exaly  

Deep neural networks for the evaluation and design of photonic devices

Nature Reviews Materials, 2020
Jiaqi Jiang, Mingkun Chen, Jonathan A Fan   +2 more
exaly  

Research and application of artificial neural network prediction model in deep learning

International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022
Guoxun Zheng, Hua Zhang, Xuekun Yao
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Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models

Agricultural Water Management, 2021
Junliang Fan, Lifeng Wu, Fucang Zhang
exaly