Search Results - "deep neural network algorithm"

Case report: Quantitative recognition of virtual human technology acceptance based on efficient deep neural network algorithm by Wang, Xu, Chen, Charles

“…” and the questionnaire were used as the subjects of study. UTAUT model and its corresponding scale were modified by deep learning algorithms to investigate and analyze teachers' acceptance of robotics education in four…”
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Augmenting the communication and engagement toolkit for CO2 capture and storage projects by Buah, Eric, Linnanen, Lassi, Wu, Huapeng

“…•This paper revisits the Communication and Engagement Toolkit for CCS projects proposed by Ashworth and colleagues.•The limitations of the strategic component…”
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Detecting temporal lobe seizures in ultra long-term subcutaneous EEG using algorithm-based data reduction by Remvig, Line S., Duun-Henriksen, Jonas, Fürbass, Franz, Hartmann, Manfred, Viana, Pedro F., Kappel Overby, Anne Mette, Weisdorf, Sigge, Richardson, Mark P., Beniczky, Sándor, Kjaer, Troels W.

“…•Ultra long-term subcutaneous EEG offers a novel option for the recording of electrographic epileptic seizures in everyday life.•A semi-automatic seizure…”
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Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation by Cutler, Kevin J., Stringer, Carsen, Lo, Teresa W., Rappez, Luca, Stroustrup, Nicholas, Brook Peterson, S., Wiggins, Paul A., Mougous, Joseph D.

“…Advances in microscopy hold great promise for allowing quantitative and precise measurement of morphological and molecular phenomena at the single-cell level…”
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Visualization and Analysis Model of Industrial Economy Status and Development Based on Knowledge Graph and Deep Neural Network by Quan, Jing

“…This paper adopts knowledge mapping combined with a deep neural network algorithm to conduct in-depth research and analysis on the current situation and development of the industrial economy…”
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An investigation of photovoltaic power forecasting in buildings considering shadow effects: Modeling approach and SHAP analysis by Fu, Jiaqian, Sun, Yuying, Li, Yunhe, Wang, Wei, Wei, Wenzhe, Ren, Jinyang, Han, Shulun, Di, Haoran

“…), using theoretical derivation and a zoning shading judgment strategy. Subsequently, a PV power prediction method was proposed based on PV shadow forecasting and the convolutional deep neural network algorithm…”
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Getting Under the Skin of Seizure Monitoring: A Subcutaneous EEG Tool to Keep a Tally Over the Long Haul by Karakis, Ioannis

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Using Deep Neural Network Approach for Multiple-Class Assessment of Digital Mammography by Hsu, Shih-Yen, Wang, Chi-Yuan, Kao, Yi-Kai, Liu, Kuo-Ying, Lin, Ming-Chia, Yeh, Li-Ren, Wang, Yi-Ming, Chen, Chih-I, Kao, Feng-Chen

“… It results in inconsistent identification. Therefore, this study explores the use of a deep neural network algorithm for the classification of mammography images…”
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An Analysis of the Efficacy of L2-MT Mixed Modeling in Second Language Acquisition - A Cognitive Ability Perspective by Tian, Mengxin

“…: qualitative multimodal interaction and hybridization of cognitive synergy. The deep neural network algorithm is interpreted layer by layer, and the model is applied to the construction of bilingual language models…”
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Machine Learning based Fault Classification using Stray Flux and Stator Current in Induction Motor by Ullah, Najeeb, Abbas, Muhammad Farasat, Kazmi, Syed Ali Abbas, Numan, Muhammad, Khalid, Hassan Abdullah

“… The proposed deep neural network algorithm has shown better accuracy for stray flux compared…”
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Research on extraction and classification of EEG features for multi-class motor imagery by Tang, Xuebin, Zhao, Jinchuang, Fu, Wenli

“…Aiming at solving the problems of low recognition accuracy and poor practicability caused by the small amount of data and insufficient training of the network weights when the deep neural network…”
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EEG analysis of speaking and quiet states during different emotional music stimuli by Lin, Xianwei, Wu, Xinyue, Wang, Zefeng, Cai, Zhengting, Zhang, Zihan, Xie, Guangdong, Hu, Lianxin, Peyrodie, Laurent

“… with advancements in neuroscience. In this study, a total of 120 subjects were recruited, all of whom were students aged between 19 and 26 years…”
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A Cross-Subject Transfer Learning Method for CSI-Based Wireless Sensing by He, Zhengran, Bouazizi, Mondher, Gui, Guan, Ohtsuki, Tomoaki

“… This method combines widely used transfer learning methods with deep neural network algorithms in cross-domain sensing…”
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Forecasting the Subject Trend of International Library and Information Science Research by 2030 Using the Deep Learning Approach by Nezhad, Farzaneh Ghanadi, Osareh, Farideh, Ghane, Mohammad Reza

“… and in-depth learning approach. After pre-processing and thematic classification of the studies, deep neural network algorithms were used to model previous studies and forecast future topics…”
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Machine learning in structural engineering by Amezquita-Sanchez, J P, Valtierra-Rodriguez, M, Adeli, H

“… Deep neural network algorithms have been the subject of a large number of articles in civil and structural engineering…”
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Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System by Yang, Shicheng, Wen, Ying, He, Lianghua, Zhou, MengChu, Abusorrah, Abdullah

“…The performance of face recognition has been greatly improved by deep neural network algorithms when a dataset is large…”
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Machine Learning-Based Modeling for Structural Engineering: A Comprehensive Survey and Applications Overview by Etim, Bassey, Al-Ghosoun, Alia, Renno, Jamil, Seaid, Mohammed, Mohamed, M. Shadi

“…Modeling and simulation have been extensively used to solve a wide range of problems in structural engineering. However, many simulations require significant…”
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