Výsledky vyhledávání - "neural network model"

A physics-informed neural network-based method for predicting degradation trajectories and remaining useful life of supercapacitors

Autoři: E, L. Wang, J. Yang, R. a další

Zdroj: Green Energy and Intelligent Transportation. 4(3)

Témata: Degradation trajectories, Physics-informed neural network, Remaining useful life, Supercapacitor, Long short-term memory, Mean square error, Prediction models, Data driven, Degradation trajectory, Loss functions, Neural network model, Neural-networks, Physic-informed neural network, Remaining useful lives, Root mean square errors, Short term memory, Trajectory prediction

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-71295
https://doi.org/10.1016/j.geits.2025.100291

Predictive neural network model and empirical equations for the physico-chemical properties and solvent characteristics of potassium carbonate solutions in carbon capture processes

Autoři: Ameri, Abolhasan

Zdroj: Frontiers of Chemical Science and Engineering. 19(4)

Témata: empirical equations, feed-forward neural network model, physico-chemical properties, potassium carbonate solution, solvent strength and loading

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-362009
https://doi.org/10.1007/s11705-025-2532-7

Neural network-based modeling for continuous speech recognition in the Uzbek Language

Autoři: Solidjonovich, Narzillo Mamatov Davlataliyevich, Nurbek Nuritdinov Kayratdin ulı, Muxiyatdinov Jamalatdin

Zdroj: International Journal of Science and Research Archive. 16:1539-1545

Témata: Uzbek Speech, Uzbek Language Trigram Model, Hidden Markov Models (Hmms), Language Model, Neural Network Model, Automatic Speech Recognition (ASR), N-Gramm, Syntactic-Statistical Model

Objective Foundations of Ethics and Prospects for Its Development: Information and Communication Approach

Autoři: Oleg Gabrielyan Ibragim Suleimenov

Zdroj: Conatus-Journal of Philosophy, Vol 10, Iss 1 (2025)
Conatus-Περιοδικό Φιλοσοφίας; Τόμ. 10 Αρ. 1 (2025): Conatus-Journal of Philosophy; 111-125
Conatus-Journal of Philosophy; Vol. 10 No. 1 (2025): Conatus-Journal of Philosophy; 111-125

Témata: model, signal system, information and communication environment, B1-5802, ethical system, Philosophy (General), neural network model, transpersonal structure

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/e597c227fb4743c98853edf4d91aeba1
https://ejournals.epublishing.ekt.gr/index.php/Conatus/article/view/33973

The model of the relationship between types of organizational management structures, their determining factors and their characterizing parameters

Autoři: I. G. Vladimirova E. V. Polevaya N. M. Abramova

Zdroj: Модернизация, инновация, развитие, Vol 16, Iss 2, Pp 335-356 (2025)

Témata: Economics as a science, improvement of management structure, neural network model, HB71-74, adaptation of the management structure, organizational structure of management, factors influencing management structures

Přístupová URL adresa: https://doaj.org/article/874b1cb075bc44a080f983cd6dc2748b

Review of medical decision support systems for the diagnosis of diabetic retinopathy

Autoři: A. P. Pershina-Miliutina E. V. Kozlov D. D. Lysukhin a další

Zdroj: Сахарный диабет, Vol 28, Iss 5, Pp 460-470 (2025)

Témata: diabetic retinopathy, artificial intelligence, data analysis, computer assisted image analysis, neural network model, clinical decision support systems, Nutritional diseases. Deficiency diseases, RC620-627

Popis souboru: electronic resource

Relation: https://www.dia-endojournals.ru/jour/article/view/13354; https://doaj.org/toc/2072-0351; https://doaj.org/toc/2072-0378

Přístupová URL adresa: https://doaj.org/article/c2ebae4e23a84258b20e7c2ce67fc9c2

Study of Driving Fatigue Level Using Optimized Neural Network Models Based on Attention Mechanisms

Autoři: LI Bowen, DING Muheng, FANG Meihua, ZHU Guiping, WEI Zhiyong, CHENG Wei, LI Yayun, BIAN Shuangshuang

Zdroj: Jisuanji gongcheng, Vol 51, Iss 10, Pp 87-96 (2025)

Témata: electroencephalogram (eeg), fatigue level, feature, attention mechanism, neural network model, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-10-87.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/941e3459ad424e109a4f1be8e54b1106

An enhanced neural network model for predicting the remaining useful life of proton exchange membrane fuel cells

Autoři: Honghua Pan Yujin Zou Xiao Sun a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-11 (2025)

Témata: PEMFC, RUL prediction, GMA model, Enhanced neural network model, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/99448d0781044c31a91fbcaece8043f4

A new hybrid neural network framework inspired by biological systems for advanced financial forecasting

Autoři: Chuchu Rao Tianju Xue Mingqi Kan a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Témata: Neural network model, Financial prediction, Artificial intelligence, Quantum-inspired, Chimpanzee optimization, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/be016453625d4d28a353cfde78efde00

Response of Runoff Coefficient to Urban Underlying Surface Change Based on BP Neural Network

Autoři: ZHANG Lin, DING Bing, DENG Jin-yun, YAO Shi-ming, WANG Jia-sheng, LI Li-gang, WANG Zhao-hui

Zdroj: 长江科学院院报, Vol 42, Iss 10, Pp 32-37 (2025)

Témata: runoff coefficient, underlying surface, bp neural network model, remote sensing technology, land use type, urban planning, River, lake, and water-supply engineering (General), TC401-506

Popis souboru: electronic resource

Relation: http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1740531174913-78122411.pdf; https://doaj.org/toc/1001-5485

Přístupová URL adresa: https://doaj.org/article/52672a2d0bbb4e518ac0aaa77e871564

An Ensemble of Vision-Language Transformer-Based Captioning Model With Rotatory Positional Embeddings

Autoři: K. B. Sathyanarayana Dinesh Naik

Zdroj: IEEE Access, Vol 13, Pp 59841-59865 (2025)

Témata: bidirectional long short term memory model, image caption generation, positional embedding, Electrical engineering. Electronics. Nuclear engineering, convolutional neural network model, graph convolution network, Attention mechanisms, TK1-9971

Přístupová URL adresa: https://doaj.org/article/07afc76ef54149aeb015ab0ad05c4a59

Dynamic neural network model for environmental monitoring of vehicle pollution in urban streets

Autoři: Shepelev Vladimir Glushkov Aleksandr Ivanova Olga a další

Zdroj: FME Transactions, Vol 53, Iss 1, Pp 51-62 (2025)

Témata: area sources of emissions, Mechanics of engineering. Applied mechanics, software system, TA349-359, TA1-2040, concentration of emissions, Engineering (General). Civil engineering (General), pollutant emissions, neural network model, traffic flows

Přístupová URL adresa: https://doaj.org/article/83f67920ff944ae195c9f22282608da4

Indoor WiFi fingerprint localization based on dual population PSO of stacked autoencoder and multi label classification

Autoři: Yiguo Cheng Kun Zhang Bing Zheng a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: Deep neural network model, Multi-Label classification, Dual-Population-Particle swarm optimization, Received signal strength, Stacked autoencoder, WiFi fingerprint localization, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/6cf1f84437d640d9bcb9e4456847857c

Development characteristics and risk assessment of geological hazards along the Lanzhou-Chengdu-Chongqing refined oil pipeline based on machine learning

Autoři: Weike ZHANG Jian ZHOU Yishun JIANG a další

Zdroj: Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 36, Iss 4, Pp 125-136 (2025)

Témata: oil and gas pipelines, information value model, neural network model, susceptibility assessment, risk assessment, Geology, QE1-996.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1003-8035

Přístupová URL adresa: https://doaj.org/article/b312c4451951489da45a738d181a106b

Interpretable landslide susceptibility evaluation using a BP neural network model optimized by multiple algorithms

Autoři: Hao LU Shuqiang LU Jiale LI a další

Zdroj: Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 36, Iss 4, Pp 160-174 (2025)

Témata: landslide susceptibility assessment, optimization algorithm, bp neural network model, k-fold validation, shap analysis, zigui county, Geology, QE1-996.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1003-8035

Přístupová URL adresa: https://doaj.org/article/911378d42e2e43b084970033193a3bbe

Models for sustainable management of livestock waste based on neural network architectures

Autoři: Anatoliy Tryhuba Krzysztof Mudryk Inna Tryhuba a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-26 (2025)

Témata: Sustainable management, Waste, Animal husbandry, Neural network model, Biogas, Energy supply, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/066f06b573754287b78fa8d5281ed4e1

A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses

Autoři: Jian Liu Zhuqing Zhang Bin Lyu a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Témata: Traffic accident prediction, ARIMA regression model, Neural network model, Combined model, Time series, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/55f1041d1c44413992ef5a5b186e8978

Compressive strength modelling of cenosphere and copper slag-based geopolymer concrete using deep learning model

Autoři: G. K. Arunvivek S. Anandaraj Pramod Kumar a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-10 (2025)

Témata: Cenosphere, Copper slag, Geo-polymer concrete, Compressive strength, Artificial neural network model, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/d3b4fc8717044ef2ba2991dba513e4d5

Prediction of mechanical property of open-hole composite laminates using generalized regression neural network method

Autoři: Hou, Junling Zhao, Mengfan Chen, Yujie a další

Zdroj: Acta Mechanica. 235:7553-7568

Témata: open-hole composite laminates, Numerical methods for partial differential equations, boundary value problems, finite element models, General nonlinear regression, Computational learning theory, Random materials and composite materials, PDEs with randomness, stochastic partial differential equations, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Composite and mixture properties, machine learning-based method, neural network model, Artificial neural networks and deep learning

Popis souboru: application/xml

Predicting football match outcomes: a multilayer perceptron neural network model based on technical statistics indicators of the FIFA world Cup

Autoři: Yingling Luo Tao Quan Yongfeng Cao

Zdroj: Frontiers in Sports and Active Living, Vol 7 (2025)

Témata: match outcomes prediction, technical statistics indicators, neural network model, machine learning, FIFA world cup, Sports, GV557-1198.995

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fspor.2025.1705198/full; https://doaj.org/toc/2624-9367

Přístupová URL adresa: https://doaj.org/article/cda44383f0844615a1885e26048abebd