Search Results - 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.

Authors: Kumar, Santosh Kumar, Sunil Shafi, Mehak et al.

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

Subject Terms: ENDANGERED species, FEATURE extraction, FACE, EXTRACTION techniques

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

Authors: SHUZONG ZHAO NORASAGE PATTANADECH

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

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

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

Authors: Hua, Weixin Mu, Dejun Guo, Dawei et al.

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

Subject Terms: 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.

Authors: Sun, Wenquan Gao, Yun Zhou, Jun et al.

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

Subject Terms: 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.

Authors: Zhou, Haoran Wekesa, Jael Sanyanda Luan, Yushi et al.

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

Subject Terms: 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.

Authors: Feng, Yangqin Zhang, Lei Yi, Zhang

Source: 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.

Authors: Zhang, Chengyi Yu, Jianbo Wang, Shijin

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

Subject Terms: 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.

Authors: Jangid, Manisha Kumar, Rakesh

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

Subject Terms: 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.

Authors: Gong, Cheng-Hua Cheng, Yao Yu, Jian-Xiang et al.

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

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

Authors: Tahmasebi, Hossein Ravanmehr, Reza Mohamadrezaei, Rezvan

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

Subject Terms: 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.

Authors: Wu, Zhenghao Yan, Hao Zhan, Xianbiao et al.

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

Subject Terms: 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.

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

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

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

Authors: Yang, Meng Tian, Shucong Rao, Aravinda S. et al.

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

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

A survey of autoencoder-based recommender systems.

Authors: Zhang, Guijuan Liu, Yang Jin, Xiaoning

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

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

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

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

AENEA: A novel autoencoder-based network embedding algorithm.

Authors: Xu, Xiaolong Xu, Haoyan Wang, Yang et al.

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

Subject Terms: REAL numbers, PROBLEM solving, VECTOR spaces, ALGORITHMS, RANDOM matrices

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

Authors: Wang, Siqi Yan, Shichao Sun, Yuwen

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

Subject Terms: 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)

Authors: 王丽华 杨家巍 张永宏 et al.

Source: 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.

Authors: Jia, Kai Xiang, Jun Li, Baoxia

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

Subject Terms: 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.

Authors: Toseef, Muhammad Petinrin, Olutomilayo Olayemi Wang, Fuzhou et al.

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

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