Výsledky vyhľadávania - "Deep Neural Network Algorithms"

Performance analysis of a degraded PEM fuel cell stack for hydrogen passenger vehicles based on machine learning algorithms in real driving conditions Autor Raeesi, Mehrdad, Changizian, Sina, Ahmadi, Pouria, Khoshnevisan, Alireza

“…•Implementation of several ML techniques to investigate performance of degraded FCV.•The Deep Neural Network algorithm has the most accurate prediction among…”
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End-to-End Multitask Learning With Vision Transformer Autor Tian, Yingjie, Bai, Kunlong

“…Multitask learning (MTL) is a challenging puzzle, particularly in the realm of computer vision (CV). Setting up vanilla deep MTL requires either hard or soft…”
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Short Text Sentiment Classification Using Bayesian and Deep Neural Networks Autor Shi, Zhan, Fan, Chongjun

“…The previous multi-layer learning network is easy to fall into local extreme points in supervised learning. If the training samples sufficiently cover future…”
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Design of English Machine Translation Models Based on Deep Neural Network Algorithms Autor Ye, Ying

“…To enhance the accuracy and fluency of English machine translation, this study designed a translation model based on deep neural network algorithms. Utilizing…”
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Digital twin-driven clamping force control for thin-walled parts Autor Wang, Gang, Cao, Yansheng, Zhang, Yingfeng

“…Clamping quality is one of the main factors that will affect the deformation of thin-walled parts during their processing, which can then directly affect…”
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Deep Neural Network Algorithm of Intelligent Backfilling in Goaf Autor Zhongbin ZHOU, Weiguo LIANG, Fengqi GUO, Wulong YAN

“…Purposes The intelligent filling of goaf is an important direction of green, safe, intelligent, and efficient mining of coal resources, and the key lies in…”
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Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index Autor Jin, Xiuliang, Li, Zhenhai, Feng, Haikuan, Ren, Zhibin, Li, Shaokun

“…Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield. Biomass is also a key trait in increasing grain yield by crop…”
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A multi-physical coupling NURBS-based isogeometric analysis for nonlinear electrodynamics of three-directional poroelastic functionally graded circular nanoplate: Introducing deep neural network algorithm for nonlinear electrodynamics problems Autor Gao, JingLong, Chang, Lei, Mahmoud, Haitham A.

“…•Considering quasi-3D sinusoidal shear deformation theory thickness stretching as a new higher order shear deformation theory to simulate the displacement…”
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A data-driven model for power system operating costs based on different types of wind power fluctuations Autor Yan, Jie, Liu, Shan, Yan, Yamin, Zhang, Haoran, Liang, Chao, Wang, Bohong, Liu, Yongqian, Han, Shuang

“…The stochastic and intermittent features of wind power as well as the high percentage of wind power grid-connected significantly increase the additional…”
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Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm Autor Hao, Sixi, Hu, Xiuzhen, Feng, Zhenxing, Sun, Kai, You, Xiaoxiao, Wang, Ziyang, Yang, Caiyun

“…Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of…”
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Emotional responses to energy projects: A new method for modeling and prediction beyond self-reported emotion measure Autor Buah, Eric, Linnanen, Lassi, Wu, Huapeng

“…A considerable amount of studies report that negative emotions evoked by Wind Energy, Nuclear Energy and CO2 Capture and Storage (CCS) can lead to cancellation…”
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Probabilistic deep neural network price forecasting based on residential load and wind speed predictions Autor Afrasiabi, Mousa, Mohammadi, Mohammad, Rastegar, Mohammad, Kargarian, Amin

“…Precise price forecasting can lessen the risk of participation in the deregulated electricity market. On account of a large amount of historical data, deep…”
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Augmenting the communication and engagement toolkit for CO2 capture and storage projects Autor 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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Masked AES PUF: a new PUF against hybrid SCA/MLAs Autor Yu, Weize, Chen, Jia

“…A masked advanced encryption standard (AES) physical unclonable function (PUF) architecture is proposed for hardware authentication against hybrid side-channel…”
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A combination of Sentinel-1 RADAR and Sentinel-2 multispectral data improves classification of morphologically similar savanna woody plants Autor Fundisi, Emmanuel, Tesfamichael, Solomon G., Ahmed, Fethi

“…  The co-existence of diverse plant forms in densely vegetated savanna environments presents a challenge when mapping species diversity using single remotely…”
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Low-quality fingerprint classification using deep neural network Autor Tertychnyi, Pavlo, Ozcinar, Cagri, Anbarjafari, Gholamreza

“…Fingerprint recognition systems mainly use minutiae points information. As shown in many previous research works, fingerprint images do not always have good…”
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Hybrid deep learning and machine learning approach for passive image forensic Autor Thakur, Abhishek, Jindal, Neeru

“…Image forgery detection using traditional algorithms takes much time to find forgeries. The new emerging methods for the detection of image forgery use a deep…”
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Analysis of Emotion Recognition Model Based on Multimodal Deep Neural Network Algorithm Autor Ying, Qian

“…This project intends to study a multimodal emotion recognition method. This project aims to provide a theoretical basis for the problem of emotional feedback…”
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Design and Application of Intelligent Work Stress Assessment System Based on Machine Learning Autor He, Haiping, Yang, Yi

“…Aiming at the problems such as inaccurate evaluation of teachers in the traditional job stress evaluation system, this paper uses deep neural network algorithm…”
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Optimized Deep Learning Mechanism for Intrusion Detection: Leveraging RFE-Based Feature Selection and PCA for Improved Accuracy Autor Rajkumar, M., VS, Lakshi, R, Karthik, S, Pavithra

“…With the growing demand for wireless networks, network traffic has surged, particularly involving large-scale data transmission. This results in an increased…”
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