Suchergebnisse - "neural network algorithms"

Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis von Dashti, Mahmood, Londono, Jimmy, Ghasemi, Shohreh, Tabatabaei, Shivasadat, Hashemi, Sara, Baghaei, Kimia, Palma, Paulo J., Khurshid, Zohaib

“… With the growing importance of implant brand detection in clinical practice, the accuracy of machine learning algorithms in implant brand detection has become a subject of research interest …”
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Discriminating Free Hand Movements Using Support Vector Machine and Recurrent Neural Network Algorithms von Reichert, Christoph, Klemm, Lisa, Mushunuri, Raghava Vinaykanth, Kalyani, Avinash, Schreiber, Stefanie, Kuehn, Esther, Azañón, Elena

“… Decoding natural hand movements is of interest for human–computer interaction and may constitute a helpful tool in the diagnosis of motor diseases and …”
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Discrete gradient-zeroing neural network algorithms for handling future quadratic program as well as robot arm via ten-instant formula von Guo, Pengfei, Zhang, Yunong, Yao, Zheng-an

“… With the aid of a ten-instant discrete formula processing the precision of order-6, two ten-instant-type discrete gradient-zeroing neural network algorithms that are developed from continuous …”
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Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical setting von Murray, Cayden, Oladosu, Olayinka, Joshi, Manish, Kolind, Shannon, Oh, Jiwon, Zhang, Yunyan

“… : 1) 11 healthy subjects from the Human Connectome Project (HCP); and 2) 10 local subjects with multiple sclerosis (MS …”
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Dental bitewing radiographs segmentation using deep learning-based convolutional neural network algorithms von Bonny, Talal, Al-Ali, Abdelaziz, Al-Ali, Mohammed, Alsaadi, Rashid, Al Nassan, Wafaa, Obaideen, Khaled, AlMallahi, Maryam

“… Objectives Dental radiographs, particularly bitewing radiographs, are widely used in dental diagnosis and treatment Dental image segmentation is difficult for …”
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Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms von Chen, Xiangning, Chen, Daniel G., Zhao, Zhongming, Balko, Justin M., Chen, Jingchun

“… Using the GSE96058 ( n  = 2976), GSE81538 ( n  = 405), and GSE163882 ( n  = 222) datasets, we created AIOs for the subjects and designed CNN models to classify biomarker Ki67 and Nottingham histologic grade (NHG …”
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Artificial Intelligence With Neural Network Algorithms in Pediatric Astrocytoma Diagnosis: A Systematic Review von Farmawati, Floresya K., Nurwakhid, Della W.A., Pradhea, Tifani A., Fitriasa, Rayyan, Arrahmi, Hutami H., Ilyas, Muhana F., Nur, Fadhilah T.

“… Recent advancements in artificial intelligence (AI), particularly neural network algorithms, have been studied for their precision and efficiency in medical …”
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A systematic review of text classification research based on deep learning models in Arabic language von Wahdan, Ahlam, AL Hantoobi, Sendeyah, Salloum, Said A., Shaalan, Khaled

“… Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms …”
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From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning von Malik, Nahiyan, Bzdok, Danilo

“… In this study, we translate state-of-the-art transfer learning techniques for single-subject prediction of simpler (sex and age …”
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Modeling Knowledge Assessment Systems within a Hybrid Intelligent Learning Environment von Alexey Petrov, Olga Druzhinina, Olga Masina

“… Neural network algorithms and training criteria for neural networks are characterized. The results obtained are aimed …”
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Nonlinear time series classification using bispectrum‐based deep convolutional neural networks von Parker, Paul A., Holan, Scott H., Ravishanker, Nalini

“… Time series classification using novel techniques has experienced a recent resurgence and growing interest from statisticians, subject …”
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Digital Socio-Political Communication and its Transformation in the Technological Evolution of Artificial Intelligence and Neural Network Algorithms von Volodenkov, S. V.

“… The study aims to analyze the specifics of determining the subjects of digital social and political communication in the context of the development of artificial intelligence technologies and neural network algorithms …”
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Perspective Neural Network Algorithms for Dynamic Biometric Pattern Recognition in the Space of Interdependent Features von Sulavko, A. E., Zhumazhanova, S. S., Fofanov, G. A.

“… A model of neurons for biometric authentication, capable of efficient processing of highly dependent features, based on the agreement criteria (Gini, …”
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Application of Classification Tree and Neural Network Algorithms to the Identification of Serological Liver Marker Profiles for the Diagnosis of Hepatocellular Carcinoma von Poon, Terence Chuen-Wai, Chan, Anthony Tak-Cheung, Zee, Benny, Ho, Stephen King-Wah, Mok, Tony Shu-Kam, Leung, Thomas Wai-Tong, Johnson, Philip James

“… Here we aimed to apply classification tree and neural network algorithms to interpret the levels of multiple serological liver markers to improve overall specificity and sensitivity, particularly …”
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Software Effort Estimation Using Multilayer Perceptron and Long Short Term Memory von PREDESCU, Eduard-Florin, STEFAN, Alexandru, ZAHARIA, Alexis-Valentin

“… Machine learning software can take project management software to a whole new level. The objective of this paper is to show the applicability of using neural network algorithms in software effort estimation for project management …”
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Comparison of neural network algorithms for remote sensing applications von Amar, F., Dawson, M.S., Fung, A.K., Chen, K.S.

“… This paper examines the performance of four neural network algorithms found in the literature …”
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External validation of a convolutional neural network algorithm for opportunistically detecting vertebral fractures in routine CT scans von Nicolaes, Joeri, Liu, Yandong, Zhao, Yue, Huang, Pengju, Wang, Ling, Yu, Aihong, Dunkel, Jochen, Libanati, Cesar, Cheng, Xiaoguang

“… Summary The Convolutional Neural Network algorithm achieved a sensitivity of 94% and specificity of 93 …”
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Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring von Pérez-Gandía, C, Facchinetti, A, Sparacino, G, Cobelli, C, Gómez, E J, Rigla, M, de Leiva, A, Hernando, M E

“… (nine subjects using the Medtronic [Northridge, CA] Guardian and six subjects using the Abbott …”
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Rapid diagnosis of latent and active pulmonary tuberculosis by autofluorescence spectroscopy of blood plasma combined with artificial neural network algorithm von Yue, Fengjiao, Li, Si, Wu, Lijuan, Chen, Xuerong, Zhu, Jianhua

“… •A rapid, accurate, label-free and non-invasive diagnosis method of pulmonary tuberculosis (TB) has been developed by using plasma autofluorescence …”
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Create and implement a new method for robust video face recognition using convolutional neural network algorithm von Kumar, Ankit, Yadav, Rakesh Kumar, Saini, DilipKumar Jang Bahadur

“… System authentication using biometrics is considered to be a sophisticated technology. Noise effect inducts variation in the biometric subject that causes an adverse impact on establishing the recognition …”
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