Search Results - "neural networks"

Detection of ASD Children through Deep-Learning Application of fMRI by Min Feng, Juncai Xu

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A pilot study of a deep learning approach to detect marginal bone loss around implants by Min Liu, Shimin Wang, Hu Chen, Yunsong Liu

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نظام مبتكر للتعرف على القزحيات البشرية بالاعتماد على العمليات المورفولوجية و مصنفات MLP by Ali Ali, Iyad Hatem

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نظام مبتكر للتعرف على القزحيات البشرية بالاعتماد على العمليات المورفولوجية و مصنفات MLP by Ali Ali, Iyad Hatem

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Deep compartment models: A deep learning approach for the reliable prediction of time‐series data in pharmacokinetic modeling by Alexander Janssen, Frank W. G. Leebeek, Marjon H. Cnossen, Ron A. A. Mathôt, the OPTI‐CLOT study group and SYMPHONY consortium

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تفادي العقبات لروبوت متنقّل باستخدام متحكم المنطق الضبابي من الدرجة الثانية by Fadi Motawej, Muhammad Ibrahim

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Comparison of machine learning approaches for near-fall-detection with motion sensors by Sandra Hellmers, Elias Krey, Arber Gashi, Jessica Koschate, Laura Schmidt, Tim Stuckenschneider, Andreas Hein, Tania Zieschang

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I nuovi orizzonti dei metodi quantitativi by Vittorio Capecchi

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Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality by Cosima Hirschberg, Magnus Edinger, Else Holmfred, Jukka Rantanen, Johan Boetker

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Artificial Intelligence in Periodontology: A Scoping Review by James Scott, Alberto M. Biancardi, Oliver Jones, David Andrew

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Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia by Meng Gao, Yue Wang, Haipeng Xu, Congcong Xu, Xianhong Yang, Jin Nie, Ziye Zhang, Zhixuan Li, Wei Hou, Yiqun Jiang

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Boosting the Evoked Response of Brain to Enhance the Reference Signals of CCA Method by Amir Ziafati, Ali Maleki

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Research on knowledge reasoning of TCM based on knowledge graphs by G.U.O. Zhiheng, L.I.U. Qingping, Z.O.U. Beiji

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Research Training and Machine Learning: from Matching to Convergence by Осипенко Л.Е, Козицына Ю.В, Коротков А.В

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Deep Learning Methods Applied to Drug Concentration Prediction of Olanzapine by Richard Khusial, Robert R. Bies, Ayman Akil

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Computer Aided Verification 35th International Conference, CAV 2023, Paris, France, July 17-22, 2023, Proceedings, Part II

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Computer Aided Verification 35th International Conference, CAV 2023, Paris, France, July 17-22, 2023, Proceedings, Part I

OAPEN Library: download the publication
OAPEN Library: description of the publication

Pairwise clusters optimization and cluster most significant feature methods for anomaly-based network intrusion detection system (POC2MSF) / Gervais Hatungimana by Hatungimana, Gervais

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Prediction of electricity consumtion based on complex computational method / Patrick Ozoh, Morufu Oyedunsi Olayiwola and Adepeju Abeke Adigun by Ozoh, Patrick, Olayiwola, Morufu Oyedunsi, Adigun, Adepeju Abeke

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Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] by Huey, Woan Lim, Mohd Sani, Mohd Syafiq Affendi, Hashim, Amin, Yuan, Wen Hau

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