Výsledky vyhledávání - "convolutional neural network-autoencoder architecture"

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

Autoři: Chin-Cheng Wu Cheng-Wei Tsai Fei-En Wu a další

Zdroj: Biomimetics (Basel)
Biomimetics, Vol 10, Iss 2, p 79 (2025)

Témata: gait recognition, Technology, plantar pressure, convolutional neural network-autoencoder architecture, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39997101
https://doaj.org/article/d1e45a784e0949d78698f9ef82f80918

Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture

Autoři: Sergio Saponara Abdussalam Elhanashi Qinghe Zheng

Zdroj: IEEE Access, Vol 9, Pp 147888-147899 (2021)

Témata: autoencoder, convolution neural networks, General Computer Science, feature extraction, General Engineering, Fingerprint images, 02 engineering and technology, Autoencoder, Convolution neural networks, Feature extraction, System identification, TK1-9971, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, Knowmad Institut, system identification

Přístupová URL adresa: https://doaj.org/article/dcba48f5a187474189ffe3a7e3b2a461
https://dblp.uni-trier.de/db/journals/access/access9.html#SaponaraEZ21
https://ieeexplore.ieee.org/document/9598889/
https://www.openaccessrepository.it/record/142261

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

Autoři: Wu, Chin-Cheng Tsai, Cheng-Wei Wu, Fei-En a další

Zdroj: Biomimetics (2313-7673); Feb2025, Vol. 10 Issue 2, p79, 19p

Témata: CONVOLUTIONAL neural networks, AUTOENCODERS, FEATURE extraction

A Parkinson's Disease Recognition Method Based on Plantar Pressure Feature Fusion.

Autoři: Ma, Lan Huo, Hua

Zdroj: Technologies (2227-7080); Nov2025, Vol. 13 Issue 11, p522, 22p

Témata: PARKINSON'S disease, DEEP learning, MULTISENSOR data fusion, BIOMECHANICS, MACHINE learning, POSTURE, PRESSURE measurement

Preliminary Results of a Deep Learning Anomaly Detection Method to Identify Gamma-Ray Bursts in the AGILE Anticoincidence System

Autoři: Parmiggiani, N. Bulgarelli, A. Ursi, A. a další

Témata: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, text

URL: http://arxiv.org/abs/2302.10551

Enhanced fingerprint pattern classification: Integrating attention modules with lightweight deep learning models.

Autoři: Mukoya, Esther Rimiru, Richard Kimwele, Michael

Zdroj: Engineering Reports; Nov2024, Vol. 6 Issue 11, p1-20, 20p

Témata: DEEP learning, FINGERPRINT databases, TIME complexity, DATABASES, SYSTEM identification, HUMAN fingerprints

Blood group determination using fingerprint.

Autoři: Nihar, T. Yeswanth, K. Prabhakar, K.

Zdroj: MATEC Web of Conferences; 3/18/2024, Vol. 392, p1-10, 10p

Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries.

Autoři: Mengash, Hanan Abdullah Alruwais, Nuha Kouki, Fadoua a další

Zdroj: Biomimetics (2313-7673); Jan2024, Vol. 9 Issue 1, p1, 17p

Témata: FEATURE selection, CONVOLUTIONAL neural networks, BOOSTING algorithms, CUSTOMER satisfaction, THERMAL equilibrium, TELECOMMUNICATION

People: ARCHIMEDES, ca. 287 B.C.-212 B.C.

An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring.

Autoři: Elhanashi, Abdussalam Saponara, Sergio Dini, Pierpaolo a další

Zdroj: Journal of Real-Time Image Processing; Oct2023, Vol. 20 Issue 5, p1-14, 14p

A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

Autoři: N. Parmiggiani A. Bulgarelli A. Ursi a další

Zdroj: The Astrophysical Journal, Vol 945, Iss 2, p 106 (2023)

Témata: Time series analysis, Gamma-ray bursts, Gamma-ray astronomy, Gamma-ray detectors, Convolutional neural networks, Astrophysics, QB460-466

Relation: https://doi.org/10.3847/1538-4357/acba0a; https://doaj.org/toc/1538-4357; https://doaj.org/article/8c9e3c2a7cce4703897b45230dd78a5e

Dostupnost: https://doi.org/10.3847/1538-4357/acba0a
https://doaj.org/article/8c9e3c2a7cce4703897b45230dd78a5e

Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks.

Autoři: Sun, Yang Elhanashi, Abdussalam Ma, Hao a další

Zdroj: Applied Sciences (2076-3417); Nov2022, Vol. 12 Issue 21, p10986, 16p

Témata: CONVOLUTIONAL neural networks, HEAT conduction, PARTICLE swarm optimization, HEAT transfer, ENGINEERING design

A Fingerprint Matching Algorithm Using the Combination of Edge Features and Convolution Neural Networks.

Autoři: Dincă Lăzărescu, Andreea-Monica Moldovanu, Simona Moraru, Luminita

Zdroj: Inventions (2411-5134); Jun2022, Vol. 7 Issue 2, p39, 13p

Témata: CONVOLUTIONAL neural networks, DATA augmentation, DEEP learning, FEATURE extraction, CLASSIFICATION algorithms

Machine Learning in Forensic Evidence Examination : A New Era

Autoři: Niha Ansari

Resource Type: eBook.

Témata: Machine learning, Evidence, Criminal, Criminal investigation--Technological innovations, Forensic sciences--Technological innovations

Categories: SOCIAL SCIENCE / Criminology, LAW / Forensic Science, COMPUTERS / Data Science / Machine Learning

International Conference on Biomedical and Health Informatics 2024 : Proceedings of ICBHI 2024, October 30 – November 2, 2024, Tainan, Taiwan

Autoři: Kang-Ping Lin Ratko Magjarević Paulo de Carvalho

Resource Type: eBook.

Témata: Robotics, Biomedical engineering--Congresses, Medical informatics--Congresses, Automation

Categories: TECHNOLOGY & ENGINEERING / Biomedical, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Signals & Signal Processing, MEDICAL / Informatics