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The Limitations of Deep Learning in Achieving Real Artificial Intelligence
Proceedings, 2022 The achievement of artificial intelligence has been one of the goals in the field of machine learning, and achievements in the field of deep learning have led to the idea that the goal of so-called “intelligence” in artificial intelligence can be ...
Tianqi Wu, Ruiqi Jin
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Deep Learning on Medical Imaging in Identifying Kidney Stones: Review Paper [PDF]
E3S Web of Conferences, 2023 Medical imaging is currently using artificial intelligence-based technologies to aid evaluate diagnostic information images, particularly in enforcing kidney stones.
Sulaksono Nanang +2 more
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The Role of Deep Learning Method Based on Environmental Geochemical Data in Resource [PDF]
E3S Web of Conferences, 2021 In recent years, with the continuous development of artificial intelligence, deep learning, as an important method of artificial intelligence learning, has made great progress.
Yao Pei
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UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery
International Journal of Applied Earth Observations and Geoinformation, 2021 This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented
Nosheen Abid +6 more
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Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence
Biomedicines, 2023 Deep brain stimulation is a treatment that controls symptoms by changing brain activity. The complexity of how to best treat brain dysfunction with deep brain stimulation has spawned research into artificial intelligence approaches. Machine learning is a
Ben Allen
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Cracking the genetic code with neural networks
Frontiers in Artificial Intelligence, 2023 The genetic code is textbook scientific knowledge that was soundly established without resorting to Artificial Intelligence (AI). The goal of our study was to check whether a neural network could re-discover, on its own, the mapping links between codons ...
Marc Joiret +8 more
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Deep Learning-Based Intelligent Robot in Sentencing
Frontiers in Psychology, 2022 This work aims to explore the application of deep learning-based artificial intelligence technology in sentencing, to promote the reform and innovation of the judicial system.
Xuan Chen
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Algorithms, 2021 Zero-crossing point detection is necessary to establish a consistent performance in various power system applications, such as grid synchronization, power conversion and switch-gear protection.
Venkataramana Veeramsetty +2 more
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Artificial Intelligence and Machine Learning: What You Always Wanted to Know but Were Afraid to Ask
Gastro Hep Advances, 2022 The access to increasing volumes of scientific and clinical data, particularly with the implementation of electronic health records, has reignited an enthusiasm for artificial intelligence and its application to the health sciences.
Puru Rattan +2 more
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BMC Medical Informatics and Decision Making, 2019 Following publication of the original ...
Muhammad Naseer Bajwa +6 more
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