Výsledky vyhledávání - "Nonnegativity-constrained autoencoder"

Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder

Autoři: Zhongcheng Wu Jie Chen Jun Zhang

Zdroj: Applied Soft Computing. 74:1-9

Témata: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder.

Autoři: Chen, Jie Wu, ZhongCheng Zhang, Jun

Zdroj: Applied Soft Computing. Jan2019, Vol. 74, p1-9. 9p.

Témata: Identification, Automobile drivers, Feature extraction, Deep learning, Random forest algorithms

Milling tool condition monitoring for difficult-to-cut materials based on NCAE and IGWO-SVM.

Autoři: Wang, Siqi Yan, Shichao Sun, Yuwen

Zdroj: International Journal of Advanced Manufacturing Technology. Nov2023, Vol. 129 Issue 3/4, p1355-1374. 20p.

Témata: *GREY Wolf Optimizer algorithm, *OPTIMIZATION algorithms, *FEATURE extraction, *SUPPORT vector machines, *FREQUENCY-domain analysis

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data.

Autoři: Chen, Jie Wu, ZhongCheng Zhang, Jun

Zdroj: IEEE Transactions on Intelligent Transportation Systems; Dec2019, Vol. 20 Issue 12, p4450-4465, 16p

Cross-covariance regularized autoencoders for nonredundant sparse feature representation.

Autoři: Chen, Jie Wu, Zhongcheng Zhang, Jun a další

Zdroj: Neurocomputing. Nov2018, Vol. 316, p49-58. 10p.

Témata: *DEEP learning, *ANALYSIS of covariance, *BIG data, *COST functions, *DATA recovery

A body welded joint quality prediction method incorporating reconstruction error.

Autoři: Chen, Xiangxiang Sheng, Buyun Fu, Gaocai a další

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Mar2025, Vol. 239 Issue 6, p1936-1952, 17p

基于驾驶上下文感知的驾驶员识别模型. (Chinese)

Alternate Title: Driver identification model based on driving context-aware. (English)

Autoři: 杨 林 张 磊 刘佰龙 a další

Zdroj: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue; Mar2025, Vol. 47 Issue 3, p548-560, 13p

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data

Autoři: Jie Chen ZhongCheng Wu Jun Zhang

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 20:4450-4465

Témata: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/8617709/
https://dblp.uni-trier.de/db/journals/tits/tits20.html#ChenWZ19
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8617709

Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints.

Autoři: Hosseini-Asl, Ehsan Zurada, Jacek M. Nasraoui, Olfa

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Dec2016, Vol. 27 Issue 12, p2486-2498, 13p

Témata: NEURAL circuitry, DEEP learning, KNOWLEDGE representation (Information theory)

Review of rolling bearings performance degradation trend prediction.

Autoři: Wang, Yaping Lu, Kaiting Dong, Renquan a další

Zdroj: Noise & Vibration Worldwide; Dec2024, Vol. 55 Issue 11, p585-604, 20p

Témata: ROLLER bearings, DIGITAL twin, ROTATING machinery, PREDICTION models, NONLINEAR functions, DEEP learning

WiFi-based Vehicle Security System for Future Intelligent Transportation Systems.

Autoři: Akhtar, Zain Ul Abiden Rasool, Hafiz Faiz

Zdroj: International Journal of Automotive Science & Technology; 2024, Vol. 8 Issue 4, p493-505, 13p

Témata: INTELLIGENT transportation systems, WIRELESS Internet, AUTOMOBILE industry, SYSTEM identification, AUTOMOBILE steering gear, INTELLIGENT sensors, INTERNET of things, SECURITY systems, TELEMATICS, VEHICLES, DRIVER assistance systems

Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data

Autoři: Ayinde, Babajide O. Zurada, Jacek M.

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1802.00003

An Efficient Deep Learning Model Based on Driver Behaviour Detection Within CAN-BUS Signals.

Autoři: Gheni, Hassan Muwafaq Abdul-Rahaim, Laith A.

Zdroj: Revue d'Intelligence Artificielle; Feb2024, Vol. 38 Issue 1, p53-62, 10p

Témata: DEEP learning, CONVOLUTIONAL neural networks, INTELLIGENT transportation systems, COMPUTER vision, MOTOR vehicle driving, TRAFFIC accidents, TRAFFIC safety, DISTRACTED driving

FRS-SIFS: fuzzy rough set session identification and feature selection in web robot detection.

Autoři: Hamidzadeh, Javad Rahimi, Samaneh Zarif, Mohammad Ali

Zdroj: International Journal of Machine Learning & Cybernetics; Feb2024, Vol. 15 Issue 2, p237-252, 16p

Health Status Recognition Method for Rotating Machinery Based on Multi-Scale Hybrid Features and Improved Convolutional Neural Networks.

Autoři: Cao, Xiangang Guo, Xingyu Duan, Yong a další

Zdroj: Sensors (14248220); Jun2023, Vol. 23 Issue 12, p5688, 21p

Témata: CONVOLUTIONAL neural networks, VIBRATION (Mechanics), FEATURE extraction, MONITORING of machinery, PRINCIPAL components analysis, ROTATING machinery

Driver identification through vehicular CAN bus data: An ensemble deep learning approach.

Autoři: Hu, Hongyu Liu, Jiarui Chen, Guoying a další

Zdroj: IET Intelligent Transport Systems (Wiley-Blackwell); May2023, Vol. 17 Issue 5, p867-877, 11p

Témata: DEEP learning, CONVOLUTIONAL neural networks, DATA augmentation, BUSES, TIME series analysis

Driver Identification Methods in Electric Vehicles, a Review.

Autoři: Zhao, Dengfeng Hou, Junjian Zhong, Yudong a další

Zdroj: World Electric Vehicle Journal; Nov2022, Vol. 13 Issue 11, p207, 18p

Témata: ARTIFICIAL intelligence, TECHNOLOGICAL innovations, BLENDED learning, INTERNET of things, ROAD safety measures, DEEP learning, TRAFFIC safety

Driving Behavior Analysis Guidelines for Intelligent Transportation Systems.

Autoři: Nasr Azadani, Mozhgan Boukerche, Azzedine

Zdroj: IEEE Transactions on Intelligent Transportation Systems; Jul2022, Vol. 23 Issue 7, p6027-6045, 19p

Driver Identification Based on Wavelet Transform Using Driving Patterns.

Autoři: Kwak, Byung Il Han, Mee Lan Kim, Huy Kang

Zdroj: IEEE Transactions on Industrial Informatics; Apr2021, Vol. 17 Issue 4, p2400-2410, 11p

A new growing pruning deep learning neural network algorithm (GP-DLNN).

Autoři: Zemouri, Ryad Omri, Nabil Fnaiech, Farhat a další

Zdroj: Neural Computing & Applications; 2020, Vol. 32 Issue 24, p18143-18159, 17p

Témata: DEEP learning, ALGORITHMS, MACHINE learning, SPEECH processing systems