Search Results - "ConvLSTM encoder-decoder model"

Prediction of maize growth stages based on deep learning.

Authors: Yue, Yang Li, Jin-Hai Fan, Li-Feng et al.

Source: Computers & Electronics in Agriculture. May2020, Vol. 172, pN.PAG-N.PAG. 1p.

Subject Terms: *FORECASTING, *DEEP learning, *WEATHER forecasting, *ARTIFICIAL neural networks, *CROP growth, *CORN, *CORN breeding

Deep unsupervised multi-modal fusion network for detecting driver distraction.

Authors: Zhang, Yuxin Chen, Yiqiang Gao, Chenlong

Source: Neurocomputing. Jan2021, Vol. 421, p26-38. 13p.

Subject Terms: *DISTRACTED driving, *DISTRACTION, *TRAFFIC accidents, *ACQUISITION of data

Impact of feature cross in hybrid optimization based convolutional neural networks for train delay prediction.

Authors: Asha, V. Gupta, Heena

Source: Multimedia Tools & Applications; Jan2025, Vol. 84 Issue 2, p917-945, 29p

Subject Terms: CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, TRAIN delays & cancellations, LIFE cycles (Biology), LONG short-term memory

Towards a General Prediction System for the Primary Delay in Urban Railways

Authors: Wu, J Zhou, L Cai, C et al.

Index Terms: Conference Proceeding

URL: http://hdl.handle.net/10453/141577
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
IEEE Intelligent Transportation Systems Conference
10.1109/ITSC.2019.8916868

Self-Attention (SA)-ConvLSTM Encoder–Decoder Structure-Based Video Prediction for Dynamic Motion Estimation.

Authors: Kim, Jeongdae Choo, Hyunseung Jeong, Jongpil

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11315, 15p

Subject Terms: LONG short-term memory, OBJECT recognition (Computer vision), PROBLEM solving, DECISION making, FORECASTING

AMTCN: An Attention-Based Multivariate Temporal Convolutional Network for Electricity Consumption Prediction.

Authors: Zhang, Wei Liu, Jiaxuan Deng, Wendi et al.

Source: Electronics (2079-9292); Oct2024, Vol. 13 Issue 20, p4080, 23p

Subject Terms: CONVOLUTIONAL neural networks, ELECTRIC power consumption, DEEP learning, FEATURE extraction, ENERGY management

Driver Distraction Detection Based on Multi-scale Feature Fusion Network

Authors: ZHANG Yu-xin, CHEN Yi-qiang

Source: Jisuanji kexue, Vol 49, Iss 11, Pp 170-178 (2022)

Subject Terms: driver distraction, unsupervised learning, multi-source, multi-scale fusion, encoder-decoder, Computer software, QA76.75-76.765, Technology (General), T1-995

File Description: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-11-170.pdf; https://doaj.org/toc/1002-137X

Access URL: https://doaj.org/article/71d80c8b64444205944c158d64633513

Enhanced Automated Deep Learning Application for Short-Term Load Forecasting.

Authors: Laitsos, Vasileios Vontzos, Georgios Bargiotas, Dimitrios et al.

Source: Mathematics (2227-7390); Jul2023, Vol. 11 Issue 13, p2912, 21p

Subject Terms: MACHINE learning, DEEP learning, CONVOLUTIONAL neural networks, FORECASTING methodology, POWER resources, FORECASTING

Geographic Terms: GREECE, SANTORINI Island (Greece)

A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures.

Authors: Mao, Yuwei Lin, Hui Yu, Christina Xuan et al.

Source: Journal of Intelligent Manufacturing; Jan2023, Vol. 34 Issue 1, p315-329, 15p

Subject Terms: METAL powders, DEEP learning, POROSITY, COMPUTED tomography, LASER beams

A large-scale real-world comparative study using pre-COVID lockdown and post-COVID lockdown data on predicting shipment times of therapeutics in e-pharmacy supply chains.

Authors: Mariappan, Mahesh Babu Devi, Kanniga Venkataraman, Yegnanarayanan et al.

Source: International Journal of Physical Distribution & Logistics Management; 2022, Vol. 52 Issue 7, p512-537, 26p

Subject Terms: COVID-19, STAY-at-home orders, SUPPLY chains, REVERSE logistics, SUPPLY chain management, SHIPMENT of goods, INTERNET in public administration

An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series.

Authors: Tayeh, Tareq Aburakhia, Sulaiman Myers, Ryan et al.

Source: Machine Learning & Knowledge Extraction; Jun2022, Vol. 4 Issue 2, p350-370, 21p

Subject Terms: MULTIVARIATE analysis, MANUFACTURING industries, DEEP learning, MACHINE learning, INTERNET of things

A Multivariate Temporal Convolutional Attention Network for Time-Series Forecasting.

Authors: Wan, Renzhuo Tian, Chengde Zhang, Wei et al.

Source: Electronics (2079-9292); May2022, Vol. 11 Issue 10, pN.PAG-N.PAG, 14p

Subject Terms: CONVOLUTIONAL neural networks, FORECASTING, FEATURE extraction

Towards a General Prediction System for the Primary Delay in Urban Railways

Authors: Luping Zhou Jianqing Wu Fang Dong et al.

Source: 2019 IEEE Intelligent Transportation Systems Conference (ITSC). :3482-3487

Subject Terms: 11. Sustainability, 0502 economics and business, 05 social sciences

Access URL: https://ro.uow.edu.au/cgi/viewcontent.cgi?article=4322&context=eispapers1
https://ro.uow.edu.au/eispapers1/3300/
https://dblp.uni-trier.de/db/conf/itsc/itsc2019.html#WuZC00S19
http://dblp.uni-trier.de/db/conf/itsc/itsc2019.html#WuZC00S19
https://ro.uow.edu.au/cgi/viewcontent.cgi?article=4322&context=eispapers1

Towards a General Prediction System for the Primary Delay in Urban Railways

Authors: Wu, J Zhou, L Cai, C et al.

File Description: application/pdf

Relation: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019; IEEE Intelligent Transportation Systems Conference; 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 2019, pp. 3482-3487; http://hdl.handle.net/10453/141577

Availability: http://hdl.handle.net/10453/141577

Towards a General Prediction System for the Primary Delay in Urban Railways

Authors: Wu, Jianqing Zhou, Luping Cai, Chen et al.

Source: Faculty of Engineering and Information Sciences - Papers: Part B

Subject Terms: towards, prediction, system, general, primary, railways, delay, urban, Engineering, Science and Technology Studies

File Description: application/pdf

Relation: https://ro.uow.edu.au/eispapers1/3300; https://ro.uow.edu.au/context/eispapers1/article/4322/viewcontent/auto_convert.pdf

Availability: https://ro.uow.edu.au/eispapers1/3300
https://ro.uow.edu.au/context/eispapers1/article/4322/viewcontent/auto_convert.pdf

Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting.

Authors: Wan, Renzhuo Mei, Shuping Wang, Jun et al.

Source: Electronics (2079-9292); Aug2019, Vol. 8 Issue 8, p876-876, 1p

Subject Terms: TIME-varying networks, TIME series analysis, LONG-term memory, SHORT-term memory, RECURRENT neural networks, MULTIVARIATE analysis

Company/Entity: INTERNATIONAL Organization for Standardization

Information Management and Big Data : 10th Annual International Conference, SIMBig 2023, Mexico City, Mexico, December 13–15, 2023, Proceedings

Authors: Juan Antonio Lossio-Ventura Eduardo Ceh-Varela Genoveva Vargas-Solar et al.

Resource Type: eBook.

Subjects: Computer networks, Computer engineering, Artificial intelligence, Education—Data processing, Social sciences—Data processing, Image processing—Digital techniques, Computer vision

Categories: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Hardware / General, EDUCATION / Computers & Technology