Search Results - "convolutional neural network autoencoder"

Optimization of time-of-use electricity tariffs for multi-type consumers using price-based demand response and consumer classification model

Authors: Yuhua Lv Yuqian Fang

Subject Terms: Pharmacology, Biotechnology, Ecology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, Consumer classification, convolutional neural network autoencoder, demand response, hierarchical clustering algorithm, time-of-use tariff optimization

Availability: https://doi.org/10.6084/m9.figshare.29143830.v1
https://figshare.com/articles/journal_contribution/Optimization_of_time-of-use_electricity_tariffs_for_multi-type_consumers_using_price-based_demand_response_and_consumer_classification_model/29143830

Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture

Authors: Chin-Cheng Wu Cheng-Wei Tsai Fei-En Wu et al.

Source: Biomimetics ; Volume 10 ; Issue 2 ; Pages: 79

Subject Terms: plantar pressure, gait recognition, convolutional neural network-autoencoder architecture

File Description: application/pdf

Relation: https://dx.doi.org/10.3390/biomimetics10020079

Availability: https://doi.org/10.3390/biomimetics10020079

A novel computer vision-based data driven modelling approach for person specific fall detection

Authors: Ross Clifford Stefanos Kollias Lu Zhang et al.

Source: Journal of Ambient Intelligence and Smart Environments. 13:373-387

Subject Terms: I100 - Computer science, data driven model, convolutional neural network, healthcare, 02 engineering and technology, G400 Computer Science, one class support vector machine, fall detection, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network autoencoder

File Description: application/pdf

Access URL: https://eprints.lincoln.ac.uk/id/eprint/46526/1/single%20column.pdf
https://dblp.uni-trier.de/db/journals/jaise/jaise13.html#GongZZYCDYK21
https://doi.org/10.3233/AIS-210611
https://content.iospress.com/articles/journal-of-ambient-intelligence-and-smart-environments/ais210611

A novel computer vision based data driven modelling approach for person specific fall detection

Authors: Liyun Gong Miao Yu Ming Zhu et al.

Subject Terms: I100 - Computer science, convolutional neural network, convolutional neural network autoencoder, data driven model, fall detection, healthcare, one class support vector machine

Relation: 10779/lincoln.24393274.v4; https://figshare.com/articles/journal_contribution/A_novel_computer_vision_based_data_driven_modelling_approach_for_person_specific_fall_detection/24393274

Availability: https://figshare.com/articles/journal_contribution/A_novel_computer_vision_based_data_driven_modelling_approach_for_person_specific_fall_detection/24393274

Deep Learning for Abnormal Crowd Behavior Detection:A Review

Authors: XU Tao, TIAN Chong-yang, LIU Cai-hua

Source: Jisuanji kexue, Vol 48, Iss 9, Pp 125-134 (2021)

Subject Terms: abnormal behavior detection|deep learning|convolutional neural network|autoencoder|generative adversarial networks, Computer software, QA76.75-76.765, Technology (General), T1-995

Relation: http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-125.pdf; https://doaj.org/toc/1002-137X; https://doaj.org/article/0aae2ca53b2040179daa283361815f29

Availability: https://doi.org/10.11896/jsjkx.201100015
https://doaj.org/article/0aae2ca53b2040179daa283361815f29

Dataset for Analytical Chemistry article: Two-Dimensional and Three-Dimensional Time-of-Flight Secondary 2 Ion Mass Spectrometry Image Feature Extraction Using a Spatially 3 Aware Convolutional Autoencoder

Authors: Wil Gardner David Winkler Suzanne Cutts et al.

Subject Terms: Chemical sciences, Analytical chemistry, convolutional neural network autoencoder, multicellular tumour spheroid, tof-sims, tumour tissue imaging, Physical Sciences not elsewhere classified

Availability: https://doi.org/10.26181/19679490.v2
https://figshare.com/articles/dataset/Dataset_for_Analytical_Chemistry_article_Two-Dimensional_and_Three-Dimensional_Time-of-Flight_Secondary_2_Ion_Mass_Spectrometry_Image_Feature_Extraction_Using_a_Spatially_3_Aware_Convolutional_Autoencoder/19679490

A monocular camera based person-specific fall detection system exploiting deep neural network aided unsupervised

Authors: Miao Yu Ross Clifford Carol Duff et al.

Subject Terms: I100 - Computer science, I460 - Machine learning, convolutional neural network autoencoder, fall detection, one class support vector machine, unsupervised learning

Relation: 10779/lincoln.25175120.v1

Availability: https://figshare.com/articles/conference_contribution/A_monocular_camera_based_person-specific_fall_detection_system_exploiting_deep_neural_network_aided_unsupervised/25175120

Robust texture descriptors and algorithms for micro-calcification detection and breast density estimation in mammograms

Authors: Li, Haipeng

Subject Terms: Mammogram, Breast cancer, Microcalcification detection, Breast density classification, Multifractal analysis, Texture feature extraction, Image enhancing technique, Convolutional neural network, Autoencoder network, Local binary patterns, Local quinary patterns, Rotation invariant uniform encoding, Spatial distribution analysis, Feature selection, Local quinary patterns, Texture feature extraction, Mammogram, Convolutional neural network, Breast density classification, Microcalcification detection, Rotation invariant uniform encoding, Breast cancer, Multifractal analysis, Autoencoder network, Image enhancing technique, Spatial distribution analysis, Feature selection, Local binary patterns

File Description: application/pdf

Access URL: https://ir.canterbury.ac.nz/handle/10092/102326