Search Results - "fully-connected autoencoder"

EPTM: Explainable Parameter Tuning Method for Intelligent Modulation Recognition with Fully Connected Autoencoder

Authors: Zerun Li Yu Wang Yang Xue et al.

Source: 2025 10th International Conference on Intelligent Computing and Signal Processing (ICSP). :46-50

DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder

Authors: Hao Chen Tao Chen Yuxiang Zhang et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15746-15760 (2024)

Subject Terms: Ocean engineering, superpixel segmentation, Autoencoder (AE), QC801-809, Geophysics. Cosmic physics, deep learning, TC1501-1800, hyperspectral unmixing (HU)

Access URL: https://doaj.org/article/87c406cb9b2a43128b362679e3d5c545

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations

Authors: Ping Xuan Ling Gao Nan Sheng et al.

Source: IEEE Journal of Biomedical and Health Informatics. 25:1793-1804

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Pharmaceutical Preparations, Humans, Neural Networks, Computer, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/33216722
https://ieeexplore.ieee.org/document/9265200
https://dblp.uni-trier.de/db/journals/titb/titb25.html#XuanGSZN21
https://europepmc.org/article/MED/33216722
https://www.ncbi.nlm.nih.gov/pubmed/33216722
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202102276170186604
https://pubmed.ncbi.nlm.nih.gov/33216722/

One-to-many pattern comparison combining fully-connected autoencoder with spatial transformer for ornament investigation

Authors: Sayan Chaki Simon Steinlin Remi Emonet et al.

Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs

Authors: Ping, Xuan Zhe, Gong Hui, Cui et al.

Source: Briefings in Bioinformatics. 23

Subject Terms: 0301 basic medicine, MicroRNAs, 03 medical and health sciences, 0206 medical engineering, Computational Biology, Humans, RNA, Long Noncoding, Neural Networks, Computer, 02 engineering and technology, Algorithms, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/35362511

Surrogate Modeling of Hydrogen-Enriched Combustion Using Autoencoder-Based Dimensionality Reduction

Authors: Lanfei Zhang Xu Chu Siyu Ding et al.

Source: Processes ; Volume 13 ; Issue 4 ; Pages: 1093

Subject Terms: reduced order model (ROM), hydrogen-enriched combustion, convolutional autoencoder (CAE), fully connected autoencoder (FCAE), hyperparameter setting

Subject Geographic: agris

File Description: application/pdf

Relation: Process Control and Monitoring; https://dx.doi.org/10.3390/pr13041093

Availability: https://doi.org/10.3390/pr13041093

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.

Authors: Xuan, Ping Gao, Ling Sheng, Nan et al.

Source: IEEE Journal of Biomedical & Health Informatics; May2021, Vol. 25 Issue 5, p1793-1804, 12p

Subject Terms: CONVOLUTIONAL neural networks, DRUG development

Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.

Authors: Xuan, Ping Gong, Zhe Cui, Hui et al.

Source: Briefings in Bioinformatics; May2022, Vol. 23 Issue 3, p1-12, 12p

Subject Terms: LINCRNA, CONVOLUTIONAL neural networks, BREAST, COLON cancer

Development of machine-learning based app for anomaly detection in CMSWEB.

Authors: Hussain, Nasir Muzaffar, Amna Imran, Muhammad et al.

Source: EPJ Web of Conferences; 10/7/2025, Vol. 337, p1-8, 8p

Lightweight Anomaly Detection in Digit Recognition Using Federated Learning.

Authors: Tanović, Anja Mezei, Ivan

Source: Future Internet; Aug2025, Vol. 17 Issue 8, p343, 34p

Subject Terms: ANOMALY detection (Computer security), FEDERATED learning, AUTOENCODERS, COMPUTING platforms, MICROCONTROLLERS, PATTERN recognition systems, EDGE computing

A Two-Stage Machine Learning Approach for Calving Detection in Rangeland Cattle.

Authors: Wang, Yuxi Perea, Andrés Cao, Huiping et al.

Source: Agriculture; Basel; Jul2025, Vol. 15 Issue 13, p1434, 21p

Subject Terms: GLOBAL Positioning System, SUPERVISED learning, CATTLE parturition, ANIMAL welfare, COW testing

Surrogate Modeling of Hydrogen-Enriched Combustion Using Autoencoder-Based Dimensionality Reduction.

Authors: Zhang, Lanfei Chu, Xu Ding, Siyu et al.

Source: Processes; Apr2025, Vol. 13 Issue 4, p1093, 21p

Subject Terms: AUTOENCODERS, JET nozzles, ENGINEERING design, FLUID flow, SPATIAL resolution, DEEP learning

Enhancing Binary Change Detection in Hyperspectral Images Using an Efficient Dimensionality Reduction Technique Within Adversarial Learning.

Authors: Oubara, Amel Wu, Falin Qu, Guoxin et al.

Source: Remote Sensing; Jan2025, Vol. 17 Issue 1, p5, 23p

Subject Terms: AUTOENCODERS, FEATURE extraction, PIXELS

A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data.

Authors: Liu, Bin Rosenhahn, Bodo Illig, Thomas et al.

Source: PLoS Computational Biology; 7/3/2024, Vol. 20 Issue 7, p1-22, 22p

Subject Terms: DEEP learning, TRANSCRIPTOMES, AUTOMATIC train control, LATENT variables, BIOLOGISTS, LUNG cancer, CANCER cells

A novel intelligent model for high-precision reconstruction of dam-break free surface profiles from sparse monitoring data.

Authors: Deng, Yangyu Liu, Yakun Zhang, Di et al.

Source: Physics of Fluids. Feb2025, Vol. 37 Issue 2, p1-28. 28p.

Subject Terms: *PROPER orthogonal decomposition, *WATER levels, *AUTOENCODERS, *FREE surfaces, *FLOOD control

An explainable framework for partial discharge detection in power cables through the integration of rough set theory and deep learning.

Authors: Shamsoddini, Morteza Lan, Tongkun Mazhari, Mahdi et al.

Source: Electric Power Systems Research. Jan2026, Vol. 250, pN.PAG-N.PAG. 1p.

Subject Terms: *PARTIAL discharges, *ROUGH sets, *DEEP learning, *CLASSIFICATION, *FEATURE extraction, *ELECTRIC cables

Development and Training of a Neural Network Filter for Satellite Images Processing.

Authors: Andriyanov, Nikita Kim, Alexandr

Source: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 2/W5, p9-14, 6p

Subject Terms: ARTIFICIAL neural networks, REMOTE-sensing images, KALMAN filtering, DATA augmentation, AUTOENCODERS

Semantic Hashing for Fast Solar Magnetogram Retrieval.

Authors: Grycuk, Rafał Scherer, Rafał Marchlewska, Alina et al.

Source: Journal of Artificial Intelligence & Soft Computing Research; Oct2022, Vol. 12 Issue 4, p299-306, 8p

Subject Terms: IMAGE retrieval, HASHING, SOLAR magnetism, DESCRIPTOR systems, SEMANTICS

Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.

Authors: Song, Yingying Cui, Hui Zhang, Tiangang et al.

Source: IEEE/ACM Transactions on Computational Biology & Bioinformatics; Sep/Oct2022, Vol. 19 Issue 5, p2963-2974, 12p

Deep Neural Networks via Complex Network Theory: a Perspective

Authors: La Malfa, Emanuele La Malfa, Gabriele Nicosia, Giuseppe et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2404.11172