Výsledky vyhledávání - Layered sparse autoencoder~

Hybrid Greylag Goose deep learning with layered sparse network for women nutrition recommendation during menstrual cycle

Autoři: E. Logapriya Surendran Rajendran Mohammad Zakariah

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Témata: Greylag Goose optimization, Science, Deep learning, Bidirectional gated recurrent unit, Pre-processing, Article, Layered sparse autoencoder, Deep Learning, Geese, Medicine, Humans, Female, Neural Networks, Computer, Menstrual cycle, Menstrual Cycle, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39966547
https://doaj.org/article/1fdc03bab0db474c8ebe8a2b866bf2e9

Hybrid Greylag Goose deep learning with layered sparse network for women nutrition recommendation during menstrual cycle.

Autoři: Logapriya, E. Rajendran, Surendran Zakariah, Mohammad

Zdroj: Scientific Reports; 2/18/2025, Vol. 15 Issue 1, p1-22, 22p

Témata: OPTIMIZATION algorithms, DEEP learning, AUTOENCODERS, NUTRITIONAL requirements, FEATURE extraction, MENSTRUATION, MENSTRUAL cycle

Attention-based convolutional dual sparse autoencoder for analyzing air, water and heat stress in poultry farms for egg production.

Autoři: Deepika Nagarathna Channegowda

Zdroj: Multimedia Tools & Applications; Apr2025, Vol. 84 Issue 14, p14105-14137, 33p

Témata: FISHER discriminant analysis, POULTRY farms, LINEAR programming, POULTRY farming, AUTOENCODERS, EGG quality, FOOD quality

Supervised Learning via Unsupervised Sparse Autoencoder

Autoři: Jianran Liu Chan Li Wenyuan Yang

Zdroj: IEEE Access, Vol 6, Pp 73802-73814 (2018)

Témata: sparse autoencoder, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, feature representation, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, supervised learning, dimensionality reduction, TK1-9971

Přístupová URL adresa: https://doaj.org/article/b3d938628d9041e997fd31b0edceac81
http://ieeexplore.ieee.org/document/8558569
https://ieeexplore.ieee.org/document/8558569
https://dblp.uni-trier.de/db/journals/access/access6.html#LiuLY18a

A Dual-Stage Deep Learning Model based on A Sparse Autoencoder and Layered Deep Classifier for Intrusion Detection with Imbalanced Data

Autoři: Omar Al Harbi Ahmed Hamed

Zdroj: International Journal of Sensor Networks. 45

Intelligent evaluation method for identifying favorable shale oil areas based on improved stacked sparse autoencoder.

Autoři: Rui Xu Tie Yan Shihui Sun a další

Zdroj: Oil Shale; 2025, Vol. 42 Issue 1, p79-114, 36p

Témata: SHALE oils, SUPERVISED learning, PETROLEUM prospecting, AUTOENCODERS, MACHINE learning

Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks.

Autoři: Khalid MU Nauman MM Akram S a další

Zdroj: Scientific reports [Sci Rep] 2024 Aug 17; Vol. 14 (1), pp. 19070. Date of Electronic Publication: 2024 Aug 17.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy ze slovníku MeSH: Magnetic Resonance Imaging*/methods , Algorithms* , Brain*/diagnostic imaging , Brain*/physiology, Humans ; Image Processing, Computer-Assisted/methods ; Brain Mapping/methods ; Nerve Net/physiology ; Nerve Net/diagnostic imaging ; Machine Learning

Anomaly detection for blueberry data using sparse autoencoder-support vector machine

Autoři: Dianwen Wei Jian Zheng Hongchun Qu

Zdroj: PeerJ Computer Science, Vol 9, p e1214 (2023)

Témata: Anomaly detection, Auto encoder, High dimensionality, Support vector machine, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-1214.pdf; https://peerj.com/articles/cs-1214/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/02e7be96dcec425998535c74971bc4c9

Nonredundant sparse feature extraction using autoencoders with receptive fields clustering

Autoři: Jacek M. Zurada Babajide O. Ayinde

Zdroj: Neural Networks. 93:99-109

Témata: 0301 basic medicine, 03 medical and health sciences, Databases, Factual, 0202 electrical engineering, electronic engineering, information engineering, Cluster Analysis, Information Storage and Retrieval, Learning, 02 engineering and technology, Pattern Recognition, Automated

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/28552509
http://europepmc.org/abstract/MED/28552509
https://www.sciencedirect.com/science/article/pii/S0893608017300928
https://www.ncbi.nlm.nih.gov/pubmed/28552509
http://www.sciencedirect.com/science/article/pii/S0893608017300928
https://doi.org/10.1016/j.neunet.2017.04.012

CoCoChain: A Concept-Aware Consensus Protocol for Secure Sensor Data Exchange in Vehicular Ad Hoc Networks.

Autoři: Juárez, Rubén Nicolas-Sans, Ruben Tamames, José Fernández

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6226, 51p

Témata: VEHICULAR ad hoc networks, BLOCKCHAINS, MOBILE communication systems, DATA transmission systems, DATA integrity, AUTOENCODERS

IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network.

Autoři: Ramkumar, M. Jamaesha, S. Syed Gowtham, M. S. a další

Zdroj: Signal, Image & Video Processing; Jun2024, Vol. 18 Issue 4, p3509-3525, 17p

Detection of human movement by combining supervised machine learning and an embroidered textile capacitance sensor.

Autoři: Kim, Ji-seon Kim, Jooyong

Zdroj: Textile Research Journal; Feb2025, Vol. 95 Issue 3/4, p305-322, 18p

Témata: SUPERVISED learning, MACHINE learning, STANDARD deviations, AUTOENCODERS, ARTIFICIAL intelligence

Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems.

Autoři: Alotaibi, Saud S. Alghamdi, Turki Ali

Zdroj: Scientific Reports; 8/19/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: DEEP learning, INTRUSION detection systems (Computer security), AUTOENCODERS, ALGORITHMS, CYBER physical systems, INTERNET security, CYBERTERRORISM, FEATURE selection

Web-S4AE: a semi-supervised stacked sparse autoencoder model for web robot detection.

Autoři: Jagat, Rikhi Ram Sisodia, Dilip Singh Singh, Pradeep

Zdroj: Neural Computing & Applications; Aug2023, Vol. 35 Issue 24, p17883-17898, 16p

Témata: BLOGS, ROBOTS, DEEP learning, COMPUTER software, RANDOM forest algorithms, DECISION trees, SUPERVISED learning

An intelligent fusion-based transfer learning model with artificial protozoa optimiser for enhancing gesture recognition to aid visually impaired people.

Autoři: Mengash, Hanan Abdullah Alqadi, Basma S. Marzouk, Radwa

Zdroj: Scientific Reports; 11/21/2025, Vol. 15 Issue 1, p1-20, 20p

Témata: PEOPLE with visual disabilities, ARTIFICIAL intelligence, HUMAN-computer interaction, IMAGE processing, SIGN language, DEEP learning, TRANSFER of training, HUMAN activity recognition

SSAE‐MLP: Stacked sparse autoencoders‐based multi‐layer perceptron for main bearing temperature prediction of large‐scale wind turbines.

Autoři: Xiao, Xiaocong Liu, Jianxun Liu, Deshun a další

Zdroj: Concurrency & Computation: Practice & Experience; 9/10/2021, Vol. 33 Issue 17, p1-15, 15p

Témata: DEEP learning, WIND turbines, SUPERVISED learning, MACHINE learning, SUPERVISORY control systems, MAINTENANCE costs, GREEDY algorithms

Feature extraction of fields of fluid dynamics data using sparse convolutional autoencoder.

Autoři: Obayashi, Wataru Aono, Hikaru Tatsukawa, Tomoaki a další

Zdroj: AIP Advances; Oct2021, Vol. 11 Issue 10, p1-6, 6p

Témata: FLUID dynamics, FEATURE extraction, PROPER orthogonal decomposition, NAVIER-Stokes equations, CONVOLUTIONAL neural networks, UNSTEADY flow, COMPRESSIBLE flow

Unreferenced English articles' translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning.

Autoři: Li, Hanhui Deng, Jie

Zdroj: PLoS ONE; 7/13/2022, Vol. 17 Issue 7, p1-21, 21p

Témata: DEEP learning, MACHINE translating, TRANSLATING & interpreting, DATA mining

High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder.

Autoři: Wu, Yulin Hu, Ruimin Wang, Xiaochen a další

Zdroj: Neural Processing Letters; Apr2022, Vol. 54 Issue 2, p817-833, 17p

Témata: VIDEO coding, SOUND systems, AUDIO communication, VIRTUAL reality, ARTIFICIAL neural networks, AUDIO equipment

Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN‐based VANET.

Autoři: Polat, Huseyin Turkoglu, Muammer Polat, Onur

Zdroj: IET Communications (Wiley-Blackwell); Dec2020, Vol. 14 Issue 22, p4089-4100, 12p