Výsledky vyhledávání - stack marginalized sparse denoising autoencoder publications

Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review.

Autoři: Zou, Jinlin Qu, Hongwei Zhang, Peng

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 17, p2968, 44p

Témata: DEEP learning, REMOTE sensing, ALGORITHMS, METADATA, IMAGE processing, IMAGE reconstruction algorithms

Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation: Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation: W. Zhang et al.

Autoři: Zhang, Wen Zhao, Jiangpeng Qin, Guangjie a další

Zdroj: Applied Intelligence; Apr2025, Vol. 55 Issue 5, p1-19, 19p

Témata: CONSTRUCTION defects (Buildings), AUTOENCODERS, PREDICTION models, FORECASTING, COMPUTER software

Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review.

Autoři: Jia, Yifan Pei, Hongyu Liang, Jiaqi a další

Zdroj: Bioengineering (Basel); Nov2024, Vol. 11 Issue 11, p1109, 38p

Témata: SIGNAL denoising, MAGNETOCARDIOGRAPHY, SIGNAL processing, ELECTRIC lines, MACHINE learning, DEEP learning

Fabrication-Aware Synthetic Dataset Generation and Compact Geometric Encoding for Architectural Robotic Assembly of Brick Wall Designs.

Autoři: Rafizadeh, Hamidreza Fialho Leandro Alves Teixeira, Muge Donovan, Jared a další

Zdroj: Buildings (2075-5309); Nov2025, Vol. 15 Issue 22, p4041, 28p

Témata: MACHINE learning, BRICK walls, ARTIFICIAL intelligence, ENCODING, INDUSTRIAL robots, INDUSTRIALIZED building, STRUCTURAL stability

Deep learning approaches to address cold start and long tail challenges in recommendation systems: a systematic review.

Autoři: Jangid, Manisha Kumar, Rakesh

Zdroj: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 5, p2293-2325, 33p

Témata: RECOMMENDER systems, DEEP learning, PROCESS capability, INFORMATION overload, INFORMATION storage & retrieval systems

Mitigation of Through-Wall Distortions of Frontal Radar Images Using Denoising Autoencoders.

Autoři: Vishwakarma, Shelly Ram, Shobha Sundar

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Sep2020, Vol. 58 Issue 9, p6650-6663, 14p

Témata: IMAGE denoising, RADAR, ARRAY processing, BISTATIC radar, MIMO radar, DOPPLER radar, FINITE differences

Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion.

Autoři: Sun, Meidi Wang, Hui Liu, Ping a další

Zdroj: IEEE Transactions on Industrial Electronics; Mar2022, Vol. 69 Issue 3, p3047-3058, 12p

Témata: FAULT diagnosis, MACHINE learning, DATA distribution, SUPPLY & demand, CLASS differences

Autoencoders and their applications in machine learning: a survey.

Autoři: Berahmand, Kamal Daneshfar, Fatemeh Salehi, Elaheh Sadat a další

Zdroj: Artificial Intelligence Review; Feb2024, Vol. 57 Issue 2, p1-52, 52p

WIRELESS ECG MONITORING SYSTEM.

Autoři: Bhilare, Aditi S. Kamble, Mansi G. Shah, P. P.

Zdroj: International Scientific Journal of Engineering & Management; Apr2025, Vol. 4 Issue 4, p1-2, 2002p

Témata: PATIENT monitoring, EARLY diagnosis, ACQUISITION of data, DATA transmission systems, DIAGNOSIS

PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising.

Autoři: Ma, Ruijun Zhang, Bob Zhou, Yicong a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Jul2022, Vol. 33 Issue 7, p3010-3023, 14p

Témata: COMPUTER vision, PID controllers, IMAGE denoising, MACHINE learning, ARTIFICIAL neural networks, NOISE measurement, PHOTOGRAPHS, SEXTING

Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus.

Autoři: Du, Ke-Lin Zhang, Rengong Jiang, Bingchun a další

Zdroj: Mathematics (2227-7390); Feb2025, Vol. 13 Issue 4, p587, 49p

Témata: ENSEMBLE learning, MULTISENSOR data fusion, RANDOM forest algorithms, MACHINE learning, RESEARCH personnel, DEEP learning

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning.

Autoři: ŞAHiN, Emrullah Arslan, Naciye Nur Özdemir, Durmuş

Zdroj: Neural Computing & Applications; Jan2025, Vol. 37 Issue 2, p859-965, 107p

Témata: RESEARCH personnel, INSTRUCTIONAL systems, COMPARATIVE studies, FAIRNESS, TAXONOMY, DEEP learning

Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization.

Autoři: Iqbal, Misbah Lee, Carman K. M. Keung, Kin Lok a další

Zdroj: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 23, p3698, 29p

Témata: LONG short-term memory, MACHINE learning, HILBERT-Huang transform, FAULT diagnosis, INDUSTRIAL efficiency, BOTTLENECKS (Manufacturing), DEEP learning

A survey of autoencoder-based recommender systems.

Autoři: Zhang, Guijuan Liu, Yang Jin, Xiaoning

Zdroj: Frontiers of Computer Science; Apr2020, Vol. 14 Issue 2, p430-450, 21p

Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms.

Autoři: Al-Andoli, Mohammed Cheah, Wooi Ping Tan, Shing Chiang

Zdroj: Journal of Intelligent & Fuzzy Systems; 2021, Vol. 40 Issue 3, p4517-4533, 17p

Témata: PARTICLE swarm optimization, MATHEMATICAL optimization, DEEP learning, COST functions, PROBLEM solving, COMMUNITIES, PREMATURE infants

Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions.

Autoři: Kumar, Pranjal Chauhan, Siddhartha Awasthi, Lalit Kumar

Zdroj: Archives of Computational Methods in Engineering; Jan2024, Vol. 31 Issue 1, p179-219, 41p

Recommendation system based on deep learning methods: a systematic review and new directions.

Autoři: Da'u, Aminu Salim, Naomie

Zdroj: Artificial Intelligence Review; Apr2020, Vol. 53 Issue 4, p2709-2748, 40p

Témata: RECOMMENDER systems, ARTIFICIAL neural networks, DEEP learning, META-analysis, NATURAL language processing, STANDARD deviations

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review.

Autoři: Yang, Liping Driscol, Joshua Sarigai, Sarigai a další

Zdroj: Remote Sensing; Jul2022, Vol. 14 Issue 14, pN.PAG-N.PAG, 110p

Témata: ARTIFICIAL intelligence, CLIMATE change, GEOSPATIAL data, WEB-based user interfaces, WEB design, HAZARD Analysis & Critical Control Point (Food safety system)

A deep learning-based hybrid model for recommendation generation and ranking.

Autoři: Sivaramakrishnan, N. Subramaniyaswamy, V. Viloria, Amelec a další

Zdroj: Neural Computing & Applications; Sep2021, Vol. 33 Issue 17, p10719-10736, 18p

Témata: RECOMMENDER systems, DEEP learning, INFORMATION filtering, INFORMATION retrieval, MATRIX decomposition, DATA transmission systems

A survey of graph neural networks in various learning paradigms: methods, applications, and challenges.

Autoři: Waikhom, Lilapati Patgiri, Ripon

Zdroj: Artificial Intelligence Review; Jul2023, Vol. 56 Issue 7, p6295-6364, 70p

Témata: DEEP learning, NATURAL language processing, COMPUTER vision, ARCHITECTURAL design, MACHINE learning