Zoekresultaten - "deep neural networks"

A novel Slide-seq based image processing software to identify gene expression at the single cell level door Th.I. Götz, X. Cong, S. Rauber, M. Angeli, E.W. Lang, A. Ramming, C. Schmidkonz

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Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy door Joonmyeong Choi, Keewon Shin, Jinhoon Jung, Hyun-Jin Bae, Do Hoon Kim, Jeong-Sik Byeon, Namku Kim

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A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health door Peter Washington

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Review of machine learning algorithms' application in pharmaceutical technology door Đuriš Jelena, Kurćubić Ivana, Ibrić Svetlana

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Speaker Recognition: Progression and challenges door Yusra Al-Irahyim, Qasim Mahmood

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Implementation of OCR using Convolutional Neural Network (CNN): A Survey door Ahmed Alkaddo, Dujan Albaqal

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The impact of smart classrooms on the core literacy of college English learners and the relationship between core literacy and learning outcomes: Evidence from China door Xuefei Fan

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Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review door Vasileios Skaramagkas, Anastasia Pentari, Zinovia Kefalopoulou, Manolis Tsiknakis

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Artificial Intelligence Program for Predicting Wrestlers' Sports Performances door Roman Sergeevich Nagovitsyn, Roza Alexeevna Valeeva, Liliia Agzamovna Latypova

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Efficient framework for brain tumor detection using different deep learning techniques door Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Fathi E. Abd El-Samie, Mohammad T. Haweel

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Rethinking Delayed Hemodynamic Responses for fNIRS Classification door Zenghui Wang, Jihong Fang, Jun Zhang

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The Impact of Hill-Type Actuator Components on the Performance of Reinforcement Learning Controllers to Reverse Upper-Limb Paralysis door Jessica Abreu, Douglas C. Crowder, Robert F. Kirsch

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Simulating Defensive Trajectories in American Football for Predicting League Average Defensive Movements door Marc Schmid, Patrick Blauberger, Martin Lames

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Symmetrical awareness network for cross-site ultrasound thyroid nodule segmentation door Wenxuan Ma, Xiaopeng Li, Lian Zou, Cien Fan, Meng Wu

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Deep learning for in vitro prediction of pharmaceutical formulations door Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang

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Automated Machine Learning Methods, Systems, Challenges /

Inhoudsopgave: “…1 Hyperparameter Optimization -- 2 Meta-Learning -- 3 Neural Architecture Search -- 4 Auto-WEKA -- 5 Hyperopt-Sklearn -- 6 Auto-sklearn -- 7 Towards Automatically-Tuned Deep Neural Networks -- 8 TPOT -- 9 The Automatic Statistician -- 10 AutoML Challenges.…”
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Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic door Muhammad Zubair Asghar, Muhammad Zubair Asghar, Fahad R. Albogamy, Mabrook S. Al-Rakhami, Junaid Asghar, Mohd Khairil Rahmat, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Muhammad Mansoor Alam, Adidah Lajis, Haidawati Mohamad Nasir

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Rapid screening of chemicals for their potential to cause specific toxidromes door Ruifeng Liu, Ruifeng Liu, Mohamed Diwan M. AbdulHameed, Mohamed Diwan M. AbdulHameed, Zhen Xu, Zhen Xu, Benjamin Clancy, Benjamin Clancy, Valmik Desai, Valmik Desai, Anders Wallqvist

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EFMSDTI: Drug-target interaction prediction based on an efficient fusion of multi-source data door Yuanyuan Zhang, Yuanyuan Zhang, Mengjie Wu, Shudong Wang, Wei Chen

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EEG-Based Seizure Prediction via Model Uncertainty Learning door Chang Li, Zhiwei Deng, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

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