Výsledky vyhledávání - "stacked sparse autoencoder network (SSAE)"

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data

Autoři: Linjing Zhang Zhenfeng Shao Jianchen Liu a další

Zdroj: Remote Sensing, Vol 11, Iss 12, p 1459 (2019)

Témata: LiDAR, Landsat 8 OLI, combined optical and LiDAR indices, synergy, Stacked Sparse Autoencoder network (SSAE), forest aboveground biomass (AGB), Science

Relation: https://www.mdpi.com/2072-4292/11/12/1459; https://doaj.org/toc/2072-4292; https://doaj.org/article/f306008bbc1849e998fd17412f06d8fe

Dostupnost: https://doi.org/10.3390/rs11121459
https://doaj.org/article/f306008bbc1849e998fd17412f06d8fe

Tool Wear Prediction Based on Attention Long Short-term Memory Network with Small Samples.

Autoři: Weiwei Yu Hua Huang Runlan Guo a další

Zdroj: Sensors & Materials; 2023, Vol. 35 Issue 7, Part 2, p2321-2335, 15p

Témata: GENERATIVE adversarial networks, K-nearest neighbor classification, FORECASTING, SIGNAL sampling, WIRELESS sensor networks

HYBRID DEEP LEARNING NETWORK-BASED APPROACH FOR AIR COMBAT MANEUVER DECISION-MAKING.

Autoři: SHEEBA D. LINGESHWARI G. ANORELIN A.

Zdroj: i-Manager's Journal on Computer Science; Sep2025, Vol. 13 Issue 2, p83-93, 11p

Témata: LONG short-term memory, DEEP learning, DECISION making, METADATA, AIR warfare, ENSEMBLE learning, AUTONOMOUS robots

Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques: Advanced Hybridization and Optimization...: M. K. Bohmrah, H. Kaur.

Autoři: Bohmrah, Maneet Kaur Kaur, Harjot

Zdroj: Artificial Intelligence Review; Apr2025, Vol. 58 Issue 4, p1-68, 68p

Diverse Geographical Regions Based Biodiversity Conservation by LiDAR Image with Deep Learning Model.

Autoři: Babu C. N., Gireesh Reddy, Chilukala Mahender Kumar, Mungara Kiran a další

Zdroj: Remote Sensing in Earth Systems Sciences; Dec2024, Vol. 7 Issue 4, p738-749, 12p

Research on tap breakage monitoring method for tapping process based on SSAELSTM fusion network.

Autoři: Chen, Ting Zheng, Jianming Peng, Chao a další

Zdroj: Measurement (02632241). Aug2024, Vol. 236, pN.PAG-N.PAG. 1p.

Témata: *FEATURE extraction, *TERRITORIAL partition, *TORQUE

PSO-XnB: a proposed model for predicting hospital stay of CAD patients.

Autoři: Miriyala, Geetha Pratyusha Sinha, Arun Kumar

Zdroj: Frontiers in Artificial Intelligence; 2024, p01-17, 17p

Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder.

Autoři: Mienye, Ibomoiye Domor Sun, Yanxia

Zdroj: Electronics (2079-9292); Oct2021, Vol. 10 Issue 19, p2347-2347, 1p

Témata: PARTICLE swarm optimization, HEART diseases, DEEP learning, CORONARY disease, CAUSES of death, MACHINE learning, GOLGI apparatus

Geografický termín: CLEVELAND (Ohio)

Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing.

Autoři: Han, Yibo Han, Pu Yuan, Bo a další

Zdroj: Journal of Grid Computing; Mar2024, Vol. 22 Issue 1, p1-19, 19p

Hybrid optimization enabled deep learning-based ensemble classification for heart disease detection.

Autoři: Jayasudha, R. Suragali, Chanti Thirukrishna, J. T. a další

Zdroj: Signal, Image & Video Processing; Nov2023, Vol. 17 Issue 8, p4235-4244, 10p

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data.

Autoři: Zhang, Linjing Shao, Zhenfeng Liu, Jianchen a další

Zdroj: Remote Sensing; Jun2019, Vol. 11 Issue 12, p1459-1459, 1p

Témata: FOREST biomass, LIDAR, BIOMASS estimation, DEEP learning, STANDARD deviations, OPTICAL remote sensing

A novel adaptive fault diagnosis algorithm for multi-machine equipment: application in bearing and diesel engine.

Autoři: Liu, Yangshuo Kang, Jianshe Bai, Yunjie a další

Zdroj: Structural Health Monitoring; May2023, Vol. 22 Issue 3, p1677-1707, 31p

Témata: FAULT diagnosis, ROLLER bearings, DIESEL motors, BACK propagation, OPTIMIZATION algorithms, NOISE control, FAILURE mode & effects analysis

A Robust Tuned Random Forest Classifier Using Randomized Grid Search to Predict Coronary Artery Diseases.

Autoři: El-Ghany, Sameh Abd Abd El-Aziz, A. A.

Zdroj: Computers, Materials & Continua; 2023, Vol. 75 Issue 2, p4633-4648, 16p

Témata: CORONARY artery disease, RANDOM forest algorithms, HEART diseases, CORONARY disease, PRINCIPAL components analysis

Geografický termín: CLEVELAND (Ohio)

一种基于改进 U-Net 模型的电磁层析成像算法. (Chinese)

Alternate Title: An electromagnetic tomography algorithm based on improved U-Net model. (English)

Autoři: 李秀艳 李明廷 李晓捷 a další

Zdroj: Journal of Tiangong University; Feb2023, Vol. 42 Issue 1, p44-51, 8p

Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models.

Autoři: Yan, Xingguang Li, Jing Smith, Andrew R. a další

Zdroj: International Journal of Digital Earth; Feb2023, Vol. 16 Issue 2, p4471-4491, 21p

Témata: REMOTE sensing, MACHINE learning, FOREST management, FOREST biomass, FOREST measurement, MOUNTAIN forests, BIOMASS conversion, SPECTRAL imaging

Geografický termín: SHANXI Sheng (China), CHINA

Fault Diagnosis Algorithm of Gearbox Based on NAPSO‐VMD Self‐Adaptive Noise Reduction and Dual‐Sensor Feature Fusion

Autoři: Liu, Yangshuo Kang, Jianshe Guo, Chiming a další

Přispěvatelé: Liu, Yangshuo Kang, Jianshe Guo, Chiming a další

Zdroj: Wireless Communications and Mobile Computing ; volume 2022, issue 1 ; ISSN 1530-8669 1530-8677

Dostupnost: https://doi.org/10.1155/2022/7674421
http://downloads.hindawi.com/journals/wcmc/2022/7674421.pdf
http://downloads.hindawi.com/journals/wcmc/2022/7674421.xml
https://onlinelibrary.wiley.com/doi/pdf/10.1155/2022/7674421

A machine learning based credit card fraud detection using the GA algorithm for feature selection.

Autoři: Ileberi, Emmanuel Sun, Yanxia Wang, Zenghui

Zdroj: Journal of Big Data; 2/25/2022, Vol. 9 Issue 1, p1-17, 17p

Témata: CREDIT card fraud, FRAUD investigation, FEATURE selection, MACHINE learning, ARTIFICIAL neural networks, RANDOM forest algorithms

Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder

Autoři: Ibomoiye Domor Mienye Yanxia Sun

Zdroj: Electronics, Vol 10, Iss 2347, p 2347 (2021)

Témata: deep learning, heart disease, particle swarm optimization, softmax regression, stacked sparse autoencoder, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/10/19/2347; https://doaj.org/toc/2079-9292; https://doaj.org/article/d151bef155304f508d8020b791b53a27

Dostupnost: https://doi.org/10.3390/electronics10192347
https://doaj.org/article/d151bef155304f508d8020b791b53a27

In-process detection of grinding burn using machine learning.

Autoři: Sauter, Emil Sarikaya, Erkut Winter, Marius a další

Zdroj: International Journal of Advanced Manufacturing Technology; Aug2021, Vol. 115 Issue 7/8, p2281-2297, 17p, 3 Color Photographs, 3 Diagrams, 7 Charts, 8 Graphs

Témata: MACHINE learning, ACOUSTIC emission, GENETIC programming, MANUFACTURING processes, ELECTRIC currents, GRINDING & polishing

Network Intrusion Detection Based on Stacked Sparse Autoencoder and Binary Tree Ensemble Method

Autoři: Yanhua Yu Baoan Zhang Jie Li

Zdroj: 2018 IEEE International Conference on Communications Workshops (ICC Workshops). :1-6

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/8403759/
https://doi.org/10.1109/ICCW.2018.8403759
https://dblp.uni-trier.de/db/conf/icc/icc2018w.html#ZhangYL18