المؤلفون: Stavropoulou, Charitini, Katsidoniotaki, Eirini, Faedo, Nicolas, Göteman, Malin, 1980

المصدر: Applied Energy. 380

مصطلحات موضوعية: Multi-fidelity surrogate model, LSTM neural network, Wave energy farm, Point-absorber, Nonlinear dynamic responses, Real-time monitoring

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-546827
https://doi.org/10.1016/j.apenergy.2024.125011
https://uu.diva-portal.org/smash/get/diva2:1928806/FULLTEXT01.pdf

المؤلفون: Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

المصدر: Brodogradnja, Vol 76, Iss 1, Pp 1-26 (2025)

مصطلحات موضوعية: trimaran, wave load, lstm neural network, signal decomposition, Naval architecture. Shipbuilding. Marine engineering, VM1-989

وصف الملف: electronic resource

Relation: https://hrcak.srce.hr/file/471936; https://doaj.org/toc/0007-215X; https://doaj.org/toc/1845-5859

URL الوصول: https://doaj.org/article/6ec8d44c5d2340659059139bc11f7523

المؤلفون: DONG Jianning, AN Jizhen, CHEN Heng, PAN Peiyuan, XU Gang, WANG Xiuyan

المصدر: 发电技术, Vol 45, Iss 6, Pp 1105-1113 (2024)

مصطلحات موضوعية: thermal power generation, thermal power units, air cooling system, direct air cooling unit, long and short-term memory (lstm) neural network, performance prediction, feature importance, weather factor, Applications of electric power, TK4001-4102, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Science

وصف الملف: electronic resource

Relation: https://www.pgtjournal.com/article/2024/2096-4528/2096-4528-2024-45-6-1105.shtml; https://doaj.org/toc/2096-4528

URL الوصول: https://doaj.org/article/07717b84daf04e4b87324584a9faf9e1

المؤلفون: ZUO Fengqin, ZHANG Damin, HE Qing, BAN Yunfei, SHEN Qianwen

المصدر: Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2954-2968 (2024)

مصطلحات موضوعية: pelican optimization algorithm, unscented sigma point mutation, cross and reverse, chaotic sequence disturbance of spm, lstm neural network, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2308010.pdf; https://doaj.org/toc/1673-9418

URL الوصول: https://doaj.org/article/51ad2e682779486885596fa954e8cf10

المؤلفون: Chunhua Gao, Mingyang Wang, Yifei Sima, Zihan Yuan

المصدر: Frontiers in Physics, Vol 12 (2025)

مصطلحات موضوعية: system identification, dual array, LSTM neural network, shaking table, deep learning, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphy.2024.1475622/full; https://doaj.org/toc/2296-424X

URL الوصول: https://doaj.org/article/14f57d2400514d5d879777c8b97f40e9

المؤلفون: Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

المصدر: Engineering Science and Technology, an International Journal, Vol 61, Iss , Pp 101889- (2025)

مصطلحات موضوعية: PV power forecasting, Hybrid model, Improved similar day method, Wavelet packet decomposition, LSTM neural network, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215098624002751; https://doaj.org/toc/2215-0986

URL الوصول: https://doaj.org/article/5a3a326fa0b14ba7ba6631028faff53b

المؤلفون: Tang, Haoyun, Zhu, Rui, Wan, Qian, Ren, Deyuan

المصدر: Brodogradnja : An International Journal of Naval Architecture and Ocean Engineering for Research and Development ; ISSN 0007-215X (Print) ; ISSN 1845-5859 (Online) ; Volume 76 ; Issue 1

مصطلحات موضوعية: Trimaran, wave load, LSTM neural network, signal decomposition

وصف الملف: application/pdf

Relation: https://hrcak.srce.hr/326495

الاتاحة: https://hrcak.srce.hr/326495
https://hrcak.srce.hr/file/471936

المؤلفون: Zhaoxu Lv, Youliang Ding, Yan Zhang

المصدر: Sensors, Vol 25, Iss 1, p 207 (2025)

مصطلحات موضوعية: concrete cable-stayed bridge, LSTM neural network, temperature crack model, temperature field, crack state monitoring, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/25/1/207; https://doaj.org/toc/1424-8220; https://doaj.org/article/d80d1295a44a4246a56951cd9381a1be

الاتاحة: https://doi.org/10.3390/s25010207
https://doaj.org/article/d80d1295a44a4246a56951cd9381a1be

المؤلفون: Pettorossi, Chiara, Heiries, Vincent, Morvillier, Raphaël, Rosini, Sébastien, Gerard, Mathias

المساهمون: Département de l'électricité et de l'hydrogène pour les transports (DEHT), Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN / CEA-DES), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS), Département Systèmes (DSYS), Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), ANR-22-PEHY-0002,DuraSyS PAC,Durability of Fuel Cell Systems(2022)

المصدر: ISSN: 0378-7753.

مصطلحات موضوعية: PEMFC fault diagnosis, Hybrid method, Physics-guided, LSTM neural network, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

الاتاحة: https://cea.hal.science/cea-04875447
https://cea.hal.science/cea-04875447v1/document
https://cea.hal.science/cea-04875447v1/file/1-s2.0-S0378775324016483-main.pdf
https://doi.org/10.1016/j.jpowsour.2024.235696

المؤلفون: ZHANG Guodong, LIU Kai, PU Haitao, YAO Fuqiang, ZHANG Shuaishuai

المصدر: Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 5, Pp 730-738 (2024)

مصطلحات موضوعية: transformer differential protection, long short-term memory (lstm) neural network, inrush current identification, fault current identification, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989

وصف الملف: electronic resource

Relation: https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-5-730.shtml; https://doaj.org/toc/1006-2467

URL الوصول: https://doaj.org/article/f65d6fd48f3444fdb574fed7f58dd1ba

المؤلفون: JING Tiancheng, DUAN Hongguang, ZHAO Xu, ZHANG Jiaxin

المصدر: Guangtongxin yanjiu, Pp 22005801-22005808 (2024)

مصطلحات موضوعية: PLC communication, channel estimation, deep learning, LSTM neural network, DnCNN, Applied optics. Photonics, TA1501-1820

وصف الملف: electronic resource

Relation: http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2024.220058; https://doaj.org/toc/1005-8788

URL الوصول: https://doaj.org/article/8080e5f1768d477fada1784e7b543079

المؤلفون: SHAO Yixiang, LIU Jian, HU Liping, GUO Liang, FANG Yuan, LI Rui

المصدر: 发电技术, Vol 45, Iss 2, Pp 323-330 (2024)

مصطلحات موضوعية: wind power, ultra-short-term wind speed prediction, bp neural network, long short-term memory (lstm) neural network, differential evolution (de) algorithm, Applications of electric power, TK4001-4102, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Science

وصف الملف: electronic resource

Relation: https://www.pgtjournal.com/article/2024/2096-4528/2096-4528-2024-45-2-323.shtml; https://doaj.org/toc/2096-4528

URL الوصول: https://doaj.org/article/28969acb0d564c498ac73b771103890f

المؤلفون: Zhilong Zhao, Jiaxi Yang, Jiahao Liu, Shijie Soong, Yiming Wang, Juan Zhang

المصدر: Sensors, Vol 25, Iss 2, p 389 (2025)

مصطلحات موضوعية: bioelectrical signal, reverse engineering, additive manufacturing, long short-term memory (LSTM) neural network, sports fatigue states, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/2/389; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/37fb6fc30c8d41deb6063abe3335af65

المؤلفون: María Antonia Truyols-Pont, Amelia Bilbao-Terol, Mar Arenas-Parra

المصدر: Mathematics, Vol 12, Iss 24, p 3975 (2024)

مصطلحات موضوعية: sustainable finance, Black–Litterman model, water market, machine learning, LSTM neural network, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/24/3975; https://doaj.org/toc/2227-7390

URL الوصول: https://doaj.org/article/7eb040ab479b4158adeb3c62c55e1f3b

المؤلفون: Xi, Yuting, Ma, Ji, Wang, Zhengyi, Zhang, Hongyang, Gardi, Alessandro, Sabatini, Roberto, Delahaye, Daniel

المساهمون: Royal Melbourne Institute of Technology University (RMIT University), ENAC - Equipe Optim (OPTIM), Ecole Nationale de l'Aviation Civile (ENAC), Civil Aviation University of China (CAUC), Nanayang Technological University (NTU), School of Information Science and Technology, Hainan Normal University, Hainan Normal University Haikou, China, Khalifa University for Science Technology Abou Dabi, Artificial and Natural Intelligence Toulouse Institute (ANITI), Université de Toulouse (UT), ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019)

المصدر: Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) ; https://enac.hal.science/hal-04665660 ; Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023), 2, SPRINGER, pp.1689-1699, 2024, 978-981-97-4012-3. ⟨10.1007/978-981-97-4010-9⟩

مصطلحات موضوعية: Air Traffic Management Urban Air Mobility Trajectory Prediction Machine Learning LSTM Neural Network, Adjustable Linear Interpolation Algorithm, Air Traffic Management, Urban Air Mobility, Trajectory Prediction, Machine Learning, LSTM Neural Network, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: hal-04665660; https://enac.hal.science/hal-04665660; https://enac.hal.science/hal-04665660/document; https://enac.hal.science/hal-04665660/file/An%20Improved%20ML%20Method%20to%20Speed%20Up%20the%20Trajectory%20Prediction%20Taking%20Melbourne%20Airport%20as%20a%20Study%20Case.pdf

الاتاحة: https://enac.hal.science/hal-04665660
https://enac.hal.science/hal-04665660/document
https://enac.hal.science/hal-04665660/file/An%20Improved%20ML%20Method%20to%20Speed%20Up%20the%20Trajectory%20Prediction%20Taking%20Melbourne%20Airport%20as%20a%20Study%20Case.pdf
https://doi.org/10.1007/978-981-97-4010-9

المؤلفون: D’Orazio, Marco, Bernardini, Gabriele, Di Giuseppe, Elisa

المصدر: Facilities, 2023, Vol. 41, Issue 15/16, pp. 38-51.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/F-07-2022-0093

المؤلفون: Sheng Huang

المصدر: Intelligent Systems with Applications, Vol 22, Iss , Pp 200368- (2024)

مصطلحات موضوعية: Internet of Things technology, NSGA-III algorithm, LSTM neural network, Communication behavior monitoring, Fingerprint identification, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667305324000449; https://doaj.org/toc/2667-3053

URL الوصول: https://doaj.org/article/5f4fe8497f66444a8322350d4ad233c7

المؤلفون: Kollwitz, Celina

المساهمون: Shen, Yufei, RUN

مصطلحات موضوعية: Predictive modeling, Machine learning, Deep learning, Nba basketball, Shot success, Lstm neural network, Domínio/Área Científica::Ciências Sociais::Economia e Gestão

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10362/174311

المؤلفون: Sheng GAO, Peihua XU, Zhenghong CHEN, Chi CHENG

المصدر: 南方能源建设, Vol 11, Iss 1, Pp 112-121 (2024)

مصطلحات موضوعية: wind power day-ahead forecasting, lstm neural network, deep learning, anomaly detection and handling, wind speed fluctuation features, Energy industries. Energy policy. Fuel trade, HD9502-9502.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2095-8676

URL الوصول: https://doaj.org/article/f5e54fa95dd740aba55736bd136004c5

المؤلفون: Zhengliang Xia, Bradley M. Cornish, Daniel Devaprakash, Rod S. Barrett, David G. Lloyd, Andrea H. Hams, Claudio Pizzolato

المصدر: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2070-2077 (2024)

مصطلحات موضوعية: Long short-term memory (LSTM) neural network, artificial intelligence (AI), pose estimation, neu romusculoskeletal (NMSK) model, Achilles tendon (AT), rehabilitation, Medical technology, R855-855.5, Therapeutics. Pharmacology, RM1-950

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10538305/; https://doaj.org/toc/1534-4320; https://doaj.org/toc/1558-0210

URL الوصول: https://doaj.org/article/9edc1da667074172bc04a672301c985d