Search Results - "Unsupervised autoencoder model"

Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model

Authors: Lingtao Su Chunhui Xu Shuai Zeng et al.

Source: Front Plant Sci
Frontiers in Plant Science, Vol 13 (2022)

Subject Terms: autoencoder, 0301 basic medicine, 2. Zero hunger, 0303 health sciences, 03 medical and health sciences, transcriptome analysis, tissue-specific gene, deep learning, Plant culture, gene regulatory network, Plant Science, soybean, SB1-1110

Access URL: https://www.frontiersin.org/articles/10.3389/fpls.2022.831204/pdf
https://pubmed.ncbi.nlm.nih.gov/35310659
https://doaj.org/article/acf6d717dcc14e73a5378536d91ccc29

Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model.

Authors: Su, Lingtao Xu, Chunhui Zeng, Shuai et al.

Source: Frontiers in Plant Science; 3/3/2022, Vol. 13, p1-15, 15p

Subject Terms: GENE regulatory networks, GENE expression, TRANSCRIPTOMES, PLANT cells & tissues, GENE mapping, ROOT-tubercles

Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset.

Authors: Sharmila, B S Nagapadma, Rohini

Source: Cybersecurity (2523-3246); 9/5/2023, Vol. 6 Issue 1, p1-15, 15p

Subject Terms: ANOMALY detection (Computer security), INTERNET of things, ARTIFICIAL intelligence

Leveraging One-Dimensional Deep Learning for Robust Leak Detection in Water Distribution Systems Using Acceleration Data.

Authors: Dunphy, Kyle Agarwal, Harsha Sadhu, Ayan

Source: Journal of Pipeline Systems Engineering & Practice; Nov2025, Vol. 16 Issue 4, p1-25, 25p

Subject Terms: LEAK detection, DEEP learning, COMPUTER performance, CONVOLUTIONAL neural networks, ACCELEROMETERS, DATA augmentation, ECOLOGICAL resilience, AQUEDUCTS

Coarse-Grained Configurational Polymer Fingerprints for Property Prediction using Machine Learning

Authors: Kumar, Ishan Jha, Prateek K

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

URL: http://arxiv.org/abs/2311.14744

Deep learning for customer retention: An autoencoder-based churn prediction approach

Authors: null Niharika Pilligundala null Yagnesh Chimpiri null Uday Kiran Kandukoori et al.

Source: World Journal of Advanced Engineering Technology and Sciences. 15:1253-1262

Predicting expression-altering promoter mutations with deep learning.

Authors: Jaganathan, Kishore Ersaro, Nicole Novakovsky, Gherman et al.

Source: Science; 8/7/2025, Vol. 389 Issue 6760, p1-22, 22p

Subject Terms: GENE expression, DEEP learning, NON-coding RNA, EXOMES, GENETIC transcription

Unsupervised learning with a physics-based autoencoder for estimating the thickness and mixing ratio of pigments

Authors: Shitomi, Ryuta Tsuji, Mayuka 39 et al.

Index Terms: NA

URL: http://hdl.handle.net/10061/0002000515
https://naist.repo.nii.ac.jp/records/2000515
https://doi.org/10.1364/JOSAA.472775
https://opg.optica.org/josaa/fulltext.cfm?uri=josaa-40-1-116&id=524419
https://doi.org/10.1364/JOSAA.472775
https://opg.optica.org/josaa/fulltext.cfm?uri=josaa-40-1-116&id=524419

Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline.

Authors: Kao, Pei-Hsiu Baiya, Supaporn Lee, Chong-Wei et al.

Source: Journal of Big Data; 3/19/2025, Vol. 12 Issue 1, p1-30, 30p

Subject Terms: AGRICULTURAL productivity, LIFE sciences, SYSTEMS biology, GENE regulatory networks, CLIMATE change, FOOD crops

Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques.

Authors: Nassreddine, Ghalia Nassereddine, Mohamad Al-Khatib, Obada

Source: Computers (2073-431X); Mar2025, Vol. 14 Issue 3, p82, 23p

Subject Terms: MACHINE learning, ENSEMBLE learning, FEATURE selection, INFORMATION technology security, K-nearest neighbor classification, INTRUSION detection systems (Computer security)

Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models.

Authors: Melo, Renato Finotti, Rafaelle Guedes, António et al.

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2662, 25p

Subject Terms: STRUCTURAL health monitoring, AUTOENCODERS, RAILROAD safety measures, RAILROAD trains, COMPARATIVE studies

Soybean genomics research community strategic plan: A vision for 2024–2028.

Authors: Stupar, Robert M. Locke, Anna M. Allen, Doug K. et al.

Source: Plant Genome; Dec2024, Vol. 17 Issue 4, p1-46, 46p

AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease.

Authors: Shen, Yike Domingo-Relloso, Arce Kupsco, Allison et al.

Source: Briefings in Bioinformatics; Nov2024, Vol. 25 Issue 6, p1-9, 9p

Subject Terms: ARTIFICIAL neural networks, CARDIOVASCULAR diseases risk factors, MEDICAL personnel, MEDICAL personnel as patients, CORONARY disease

Malicious detection model with artificial neural network in IoT-based smart farming security.

Authors: Mohy-eddine, Mouaad Guezzaz, Azidine Benkirane, Said et al.

Source: Cluster Computing; Sep2024, Vol. 27 Issue 6, p7307-7322, 16p

Subject Terms: ARTIFICIAL neural networks, RADIAL basis functions, CYBERTERRORISM, FEATURE selection, SUPPORT vector machines

Using AI to detect panic buying and improve products distribution amid pandemic.

Authors: Adulyasak, Yossiri Benomar, Omar Chaouachi, Ahmed et al.

Source: AI & Society; Aug2024, Vol. 39 Issue 4, p2099-2128, 30p

Subject Terms: CONSUMER behavior, COVID-19 pandemic, PRODUCT improvement, ARTIFICIAL intelligence, COVID-19

Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems.

Authors: Kontolati, Katiana Goswami, Somdatta Em Karniadakis, George et al.

Source: Nature Communications; 6/14/2024, Vol. 15 Issue 1, p1-11, 11p

Subject Terms: LATENT variables, NONLINEAR operators, PARTIAL differential equations, SYSTEM dynamics, FRACTURE mechanics, BANACH spaces, FLUID flow

Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities.

Authors: Ding Ma Fangning He Yang Yue et al.

Source: International Journal of Geographical Information Science; May2024, Vol. 38 Issue 5, p931-955, 25p

Subject Terms: STREETS, CITIES & towns, URBAN studies, DEEP learning, SPINE, GRAPH theory

Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition.

Authors: Gao, Yuan Wang, Longbiao Liu, Jiaxing et al.

Source: IEEE Transactions on Affective Computing; Apr-Jun2024, Vol. 15 Issue 2, p697-708, 12p

Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder.

Authors: Kim, Jungsuk Ko, Jungbeom Choi, Hojong et al.

Source: Sensors (14248220); Aug2021, Vol. 21 Issue 15, p4968-4968, 1p

Subject Terms: PRINTED circuits, DEEP learning, COMPUTER vision, INTEGRATING circuits, CIRCUIT board manufacturing, INTEGRATED circuits

Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset

Authors: B S Sharmila Rohini Nagapadma

Source: Cybersecurity, Vol 6, Iss 1, Pp 1-15 (2023)

Subject Terms: Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2523-3246

Access URL: https://doaj.org/article/3b849a72ef8f4ddcb8564d125f9bc097