Výsledky vyhledávání - Sparse denoising autoencoder (SADE)~

A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques.

Autoři: Kumar, Santosh Kumar, Sunil Shafi, Mehak a další

Zdroj: Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 21, p31075-31106, 32p

Témata: ENDANGERED species, FEATURE extraction, FACE, EXTRACTION techniques

Power transformer fault warning combining support vector machine and improved grey wolf optimization algorithm.

Autoři: SHUZONG ZHAO NORASAGE PATTANADECH

Zdroj: Archives of Electrical Engineering; 2025, Vol. 74 Issue 1, p191-208, 18p

Témata: OPTIMIZATION algorithms, PARTICLE swarm optimization, POWER transformers, FAULT diagnosis, AUTOENCODERS, MACHINE performance

Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization.

Autoři: Hua, Weixin Mu, Dejun Guo, Dawei a další

Zdroj: Multimedia Tools & Applications; Feb2018, Vol. 77 Issue 4, p4253-4269, 17p

Témata: TRACKING & trailing, SIGNAL denoising, GENETIC algorithm software, MATHEMATICAL optimization, MONTE Carlo method software, OBJECT tracking (Computer vision)

An Overview of the Latest Developments and Potential Paths for Artificial Intelligence in Wastewater Treatment Systems.

Autoři: Sun, Wenquan Gao, Yun Zhou, Jun a další

Zdroj: Water (20734441); Aug2025, Vol. 17 Issue 16, p2432, 21p

Témata: ARTIFICIAL intelligence, WASTEWATER treatment, PROCESS optimization, WASTE treatment, DEEP learning, TECHNOLOGICAL innovations, ARTIFICIAL neural networks, WATER quality monitoring

PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

Autoři: Zhou, Haoran Wekesa, Jael Sanyanda Luan, Yushi a další

Zdroj: BMC Bioinformatics; 8/24/2021 Supplement 3, Vol. 22, p1-14, 14p

Témata: DEEP learning, CONVOLUTIONAL neural networks, RNA-binding proteins, PLANT proteins, PROTEIN-protein interactions

Breast cancer cell nuclei classification in histopathology images using deep neural networks.

Autoři: Feng, Yangqin Zhang, Lei Yi, Zhang

Zdroj: International Journal of Computer Assisted Radiology & Surgery; Feb2018, Vol. 13 Issue 2, p179-191, 13p

Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder.

Autoři: Zhang, Chengyi Yu, Jianbo Wang, Shijin

Zdroj: International Journal of Production Research; Apr2021, Vol. 59 Issue 8, p2426-2449, 24p, 2 Color Photographs, 3 Diagrams, 15 Charts, 4 Graphs

Témata: CONVOLUTIONAL neural networks, SIGNAL convolution, FAULT diagnosis, ARTIFICIAL neural networks, MANUFACTURING processes, SIGNAL processing, DEEP learning, CONVEYOR belts

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

A survey on learning from graphs with heterophily: recent advances and future directions.

Autoři: Gong, Cheng-Hua Cheng, Yao Yu, Jian-Xiang a další

Zdroj: Frontiers of Computer Science; Feb2026, Vol. 20 Issue 2, p1-43, 43p

Social movie recommender system based on deep autoencoder network using Twitter data.

Autoři: Tahmasebi, Hossein Ravanmehr, Reza Mohamadrezaei, Rezvan

Zdroj: Neural Computing & Applications; Mar2021, Vol. 33 Issue 5, p1607-1623, 17p

Témata: RECOMMENDER systems, SOCIAL influence, DEEP learning, SOCIAL networks, SOCIAL systems, ONLINE education

Gearbox Fault Diagnosis Based on Optimized Stacked Denoising Auto Encoder and Kernel Extreme Learning Machine.

Autoři: Wu, Zhenghao Yan, Hao Zhan, Xianbiao a další

Zdroj: Processes; Jul2023, Vol. 11 Issue 7, p1936, 20p

Témata: GEARBOXES, FAULT diagnosis, MACHINE learning, PARTICLE swarm optimization, HEBBIAN memory, FEATURE extraction

Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis.

Autoři: Javan, Farzaneh Dadrass Samadzadegan, Farhad Toosi, Ahmad

Zdroj: Air Quality, Atmosphere & Health; Aug2025, Vol. 18 Issue 8, p2481-2549, 69p

An efficient deep neural model for detecting crowd anomalies in videos.

Autoři: Yang, Meng Tian, Shucong Rao, Aravinda S. a další

Zdroj: Applied Intelligence; Jun2023, Vol. 53 Issue 12, p15695-15710, 16p

Témata: CONVOLUTIONAL neural networks, IMAGE denoising, VIDEO surveillance, SUPPORT vector machines, DEEP learning, REINFORCEMENT learning, MARKOV processes, CROWDS

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

Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning.

Autoři: Maity, Sayan Abdel-Mottaleb, Mohamed Asfour, Shihab S.

Zdroj: Journal of Information Processing Systems; Feb2020, Vol. 16 Issue 1, p6-29, 24p

AENEA: A novel autoencoder-based network embedding algorithm.

Autoři: Xu, Xiaolong Xu, Haoyan Wang, Yang a další

Zdroj: Peer-to-Peer Networking & Applications; May2021, Vol. 14 Issue 3, p1829-1840, 12p

Témata: REAL numbers, PROBLEM solving, VECTOR spaces, ALGORITHMS, RANDOM matrices

Milling tool condition monitoring for difficult-to-cut materials based on NCAE and IGWO-SVM.

Autoři: Wang, Siqi Yan, Shichao Sun, Yuwen

Zdroj: International Journal of Advanced Manufacturing Technology; Nov2023, Vol. 129 Issue 3/4, p1355-1374, 20p

Témata: GREY Wolf Optimizer algorithm, OPTIMIZATION algorithms, FEATURE extraction, SUPPORT vector machines, FREQUENCY-domain analysis

基于堆叠降噪自编码的刀具磨损状态识别. (Chinese)

Alternate Title: Tool Wear Condition Recognition Based on SDAE. (English)

Autoři: 王丽华 杨家巍 张永宏 a další

Zdroj: China Mechanical Engineering; 9/10/2018, Vol. 29 Issue 17, p2038-2044, 7p

DuCFF: A Dual-Channel Feature-Fusion Network for Workload Prediction in a Cloud Infrastructure.

Autoři: Jia, Kai Xiang, Jun Li, Baoxia

Zdroj: Electronics (2079-9292); Sep2024, Vol. 13 Issue 18, p3588, 24p

Témata: STANDARD deviations, COMMUNICATION infrastructure, TIME series analysis, CLOUD computing, RESOURCE management

Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results.

Autoři: Toseef, Muhammad Petinrin, Olutomilayo Olayemi Wang, Fuzhou a další

Zdroj: Briefings in Bioinformatics; Jul2023, Vol. 24 Issue 4, p1-16, 16p

Témata: MACHINE learning, KNOWLEDGE transfer, DEEP learning, MEDICAL informatics, NURSING informatics, DECISION making, NUCLEOTIDE sequencing