المؤلفون: Qingjie Zhang, Xiaoying Wang, Chunhui Li

المصدر: IEEE Access, Vol 12, Pp 111142-111157 (2024)

مصطلحات موضوعية: Communication security, feature generation, SA-WGAN, traffic camouflage, traffic generation algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10632167/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/27b003e4572c42e4b8d973b32ad8965e

المؤلفون: Sidra Abbas, Gabriel Avelino Sampedro, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Rastislav Kulhanek

المصدر: IEEE Access, Vol 12, Pp 89055-89068 (2024)

مصطلحات موضوعية: Hypertension, deep learning, machine learning, feature generation, healthcare, predictive modeling, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10570165/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/7b9a6a06e09a4b88a34b3870b5e90539

المؤلفون: Shenglong Wang, Xiaoxuan Jiao, Bo Jing, Jinxin Pan, Xiangzhen Meng, Yifeng Huang, Shaoting Pei

المصدر: Sensors, Vol 24, Iss 19, p 6391 (2024)

مصطلحات موضوعية: coupling fault diagnosis, feature generation, feature extraction, hypergraph networks, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/19/6391; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/b2ce4f1d697944978e02dc71d247c340

المؤلفون: Mohammad Ahmad A. Al-Ja’afreh, Geev Mokryani, Bilal Amjad

المصدر: Energy Reports, Vol 10, Iss , Pp 1387-1408 (2023)

مصطلحات موضوعية: CNN-LSTM, Feature generation, PV short-term forecasting, Load short-term forecasting, Distribution system operator, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484723011447; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/09c5ce6fd7de4f658ad4761b63cd9a93

المؤلفون: Wen, Qianyun, Liu, Yang

المصدر: Applied Energy. 381

مصطلحات موضوعية: Energy prediction, Prosumer, Feature generation, Feature selection, Feature importance

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-211051

المؤلفون: Zhihong Zeng, Jiahao He, Yue Zhan, Haijun Liu, Xiaoheng Tan

المصدر: Electronics ; Volume 13 ; Issue 24 ; Pages: 4915

مصطلحات موضوعية: RGB-D salient object detection, pseudo depth feature generation, depth feature enhancement, cross-modal fusion mamba

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/electronics13244915

الاتاحة: https://doi.org/10.3390/electronics13244915

المؤلفون: Naz, Fareena, Fahim, Muhammad, Cheema, Adnan Ahmad, Viet, Nguyen Trung, Cao, Tuan-Vu, Duong, Trung Q.

المصدر: Naz , F , Fahim , M , Cheema , A A , Viet , N T , Cao , T-V & Duong , T Q 2024 , Features inspired PM2.5 prediction: a Belfast city case study . in 10th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2024): proceedings . Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , vol. 595 , Springer , pp. 204–212 , 10th EAI International Conference on Industrial Networks and Intelligent Systems 2024 , Da Nang , Viet Nam , 20/02/2024 . https://doi.org/10.1007/978-3-031-67357-3_15

مصطلحات موضوعية: feature generation, signal decomposition, PM2.5, machine learning, forecasting models, long short term memory (LSTM), air pollutant prediction, air quality, health, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, name=SDG 3 - Good Health and Well-being, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, name=SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities, name=SDG 11 - Sustainable Cities and Communities

وصف الملف: application/pdf

Relation: urn:ISBN:9783031673566

الاتاحة: https://pure.qub.ac.uk/en/publications/6ac36448-b293-4bbe-ac21-0a9bcf8bb4cc
https://doi.org/10.1007/978-3-031-67357-3_15
https://pureadmin.qub.ac.uk/ws/files/556612589/Features_Inspired_PM2_5_Prediction_A_Belfast_City_Case_Study_Paper.pdf

المؤلفون: Valdés, Julio J., Tchagang, Alain B.

مصطلحات موضوعية: AutoML, feature generation, feature selection, intrinsic dimensionality, manifold extraction, molecular composition prediction, outlier analysis

وصف الملف: text

Relation: Journal of Computational Chemistry, Publication date: 2024-02-08, Pages: 1–22

الاتاحة: https://doi.org/10.1002/jcc.27295
https://nrc-publications.canada.ca/eng/view/ft/?id=aae4aac0-73df-490b-a9d1-a2114ef44e6a
https://nrc-publications.canada.ca/eng/view/object/?id=aae4aac0-73df-490b-a9d1-a2114ef44e6a
https://nrc-publications.canada.ca/fra/voir/objet/?id=aae4aac0-73df-490b-a9d1-a2114ef44e6a

المؤلفون: Marcos-Zambrano, Laura Judith, López-Molina, Víctor Manuel, Bakir-Gungor, Burcu, Frohme, Marcus, Karaduzovic-Hadziabdic, Kanita, Klammsteiner, Thomas, Ibrahimi, Eliana, Lahti, Leo, Loncar-Turukalo, Tatjana, Dhamo, Xhilda, Simeon, Andrea, Nechyporenko, Alina, Pio, Gianvito, Przymus, Piotr, Sampri, Alexia, Trajkovik, Vladimir, Lacruz-Pleguezuelos, Blanca, Aasmets, Oliver, Araújo, Ricardo, Anagnostopoulos, Ioannis, Aydemir, Önder, Berland, Magali, Calle, M. Luz, Ceci, Michelangelo, Duman, Hatice, Gündoğdu, Aycan, Havulinna, Aki S., Kaka Bra, Kardokh Hama Najib, Kalluci, Eglantina, Karav, Sercan, Lode, Daniel, Lopes, Marta B., May, Patrick, Nap, Bram, Nedyalkova, Miroslava, Paciência, Inês, Pasic, Lejla, Pujolassos, Meritxell, Shigdel, Rajesh, Susín, Antonio, Thiele, Ines, Truică, Ciprian Octavian, Wilmes, Paul, Yilmaz, Ercument, Yousef, Malik, Claesson, Marcus Joakim, Truu, Jaak, Carrillo de Santa Pau, Enrique

المساهمون: UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial, DM - Departamento de Matemática, CMA - Centro de Matemática e Aplicações, DEMI - Departamento de Engenharia Mecânica e Industrial, RUN

مصطلحات موضوعية: data integration, feature analysis, feature generation, machine learning, microbial gene prediction, microbial metabolic modeling, microbiome, software, Microbiology, Microbiology (medical), SDG 3 - Good Health and Well-being

وصف الملف: application/pdf

Relation: 1664-302X; PURE: 84548902

الاتاحة: http://hdl.handle.net/10362/165559

المؤلفون: Silva, Carla Rafaela Mendes da

المساهمون: Dias, Oscar, Sousa, Ana Margarida, Universidade do Minho

مصطلحات موضوعية: Machine learning, Feature selection, Feature generation, Adjuvants, Biofilms, Antimicrobial, Django, Django REST framework, React, Adjuvantes, Biofilmes, Antimicrobiaanos, Engenharia e Tecnologia::Outras Engenharias e Tecnologias

وصف الملف: application/pdf

Relation: 203262808

الاتاحة: https://hdl.handle.net/1822/84505

المؤلفون: Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, Marcus Frohme, Kanita Karaduzovic-Hadziabdic, Thomas Klammsteiner, Eliana Ibrahimi, Leo Lahti, Tatjana Loncar-Turukalo, Xhilda Dhamo, Andrea Simeon, Alina Nechyporenko, Gianvito Pio, Piotr Przymus, Alexia Sampri, Vladimir Trajkovik, Blanca Lacruz-Pleguezuelos, Oliver Aasmets, Ricardo Araujo, Ioannis Anagnostopoulos, Önder Aydemir, Magali Berland, M. Luz Calle, Michelangelo Ceci, Hatice Duman, Aycan Gündoğdu, Aki S. Havulinna, Kardokh Hama Najib Kaka Bra, Eglantina Kalluci, Sercan Karav, Daniel Lode, Marta B. Lopes, Patrick May, Bram Nap, Miroslava Nedyalkova, Inês Paciência, Lejla Pasic, Meritxell Pujolassos, Rajesh Shigdel, Antonio Susín, Ines Thiele, Ciprian-Octavian Truică, Paul Wilmes, Ercument Yilmaz, Malik Yousef, Marcus Joakim Claesson, Jaak Truu, Enrique Carrillo de Santa Pau

المصدر: Frontiers in Microbiology, Vol 14 (2023)

مصطلحات موضوعية: microbiome, machine learning, software, feature generation, feature analysis, data integration, Microbiology, QR1-502

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1250806/full; https://doaj.org/toc/1664-302X

URL الوصول: https://doaj.org/article/7e8c2a9ec3074e74b5f235b502816b53

المؤلفون: Makansi, Faried, Schmitz, Katharina

المصدر: Aachen : RWTH Aachen University 794-804 (2023). doi:10.18154/RWTH-2023-01221 ; Fluid power: digital, reliable, sustainable : 13th International Fluid Power Conference : 13th-15th June 2022 : proceedings — Open Access version / Editor: Katharina Schmitz ; Fluid power: digital, reliable, sustainable : 13th International Fluid Power Conference : 13th-15th June 2022 : proceedings — Open Access version / Editor: Katharina Schmitz 13. International Fluid Power Conference, IFK 2022, Aachen, Germany, 2022-06-13 - 2022-06-15

مصطلحات موضوعية: Condition Monitoring, Digital Twin, Feature Generation, Feature Selection, Machine Learning

جغرافية الموضوع: DE

Relation: https://publications.rwth-aachen.de/record/918260; https://publications.rwth-aachen.de/search?p=id:%22RWTH-2023-01221%22

الاتاحة: https://publications.rwth-aachen.de/record/918260
https://publications.rwth-aachen.de/search?p=id:%22RWTH-2023-01221%22

المؤلفون: Mustafa Temiz, Burcu Bakir-Gungor, Pınar Güner Şahan, Mustafa Coskun

المصدر: PeerJ, Vol 11, p e15313 (2023)

مصطلحات موضوعية: Graph embedding, Machine learning, Link prediction, Protein-protein interaction, Feature generation, Medicine, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://peerj.com/articles/15313.pdf; https://peerj.com/articles/15313/; https://doaj.org/toc/2167-8359

URL الوصول: https://doaj.org/article/1d3ff0aa51da4c02bc5699d4cbc7f79c

المؤلفون: Sahin, Sakir Engin, Gulhan, Gokhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Faust, Oliver, Acharya, U. Rajendra

مصطلحات موضوعية: engine fault classification, fault detection, machine learning, prism pattern, sound analysis, textural feature generation

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/9c9b1ddab4906c29c6ede88cda7b5267d3108648c2bbb28210fc3ea2cd205fb1/2543022/Expert%20Systems%20-%202023%20-%20Sahin%20-%20PrismPatNet%20%20Novel%20prism%20pattern%20network%20for%20accurate%20fault%20classification%20using%20engine.pdf; https://doi.org/10.1111/exsy.13312; Sahin, Sakir Engin, Gulhan, Gokhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Faust, Oliver and Acharya, U. Rajendra. 2023. "PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals." Expert Systems: the journal of knowledge engineering. 40 (8). https://doi.org/10.1111/exsy.13312

الاتاحة: https://research.usq.edu.au/item/z1w02/prismpatnet-novel-prism-pattern-network-for-accurate-fault-classification-using-engine-sound-signals
https://research.usq.edu.au/download/9c9b1ddab4906c29c6ede88cda7b5267d3108648c2bbb28210fc3ea2cd205fb1/2543022/Expert%20Systems%20-%202023%20-%20Sahin%20-%20PrismPatNet%20%20Novel%20prism%20pattern%20network%20for%20accurate%20fault%20classification%20using%20engine.pdf
https://doi.org/10.1111/exsy.13312

المؤلفون: Luong, Anh Vu, Nguyen, Tien Thanh, Han, Kate, Vu, Trung Hieu, McCall, John, Liew, Alan Wee-Chung

مصطلحات موضوعية: Ensemble method, Deep learning, Multiple classifiers, Ensemble of classifiers, Random forest, Feature generation, Environment, Energy & Sustainability

Relation: https://rgu-repository.worktribe.com/output/1977787; https://rgu-repository.worktribe.com/file/1977787/1/LUONG%202023%20DEFEG%20%28VOR%29

الاتاحة: https://doi.org/10.1016/j.knosys.2023.110691
https://rgu-repository.worktribe.com/file/1977787/1/LUONG%202023%20DEFEG%20%28VOR%29
https://rgu-repository.worktribe.com/output/1977787

المؤلفون: Chan Hur, Hyeyoung Park

المصدر: Applied Sciences; Volume 13; Issue 12; Pages: 7071

مصطلحات موضوعية: zero-shot learning, image captioning, joint-embedding, visual feature enhancement, textural feature generation

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app13127071

الاتاحة: https://doi.org/10.3390/app13127071

المؤلفون: Minwan Zhang, Xiaohua Wang, Yueting Shi, Shiwei Ren, Weijiang Wang

المصدر: Electronics; Volume 12; Issue 10; Pages: 2308

مصطلحات موضوعية: zero-shot learning, generalized zero-shot learning, GANs, feature generation methods

وصف الملف: application/pdf

Relation: Artificial Intelligence; https://dx.doi.org/10.3390/electronics12102308

الاتاحة: https://doi.org/10.3390/electronics12102308

المؤلفون: Taehoon Kim, Wooguil Pak

المصدر: Electronics, Vol 12, Iss 7, p 1657 (2023)

مصطلحات موضوعية: integrated feature set, machine learning, network intrusion detection system, incremental feature generation, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/12/7/1657; https://doaj.org/toc/2079-9292; https://doaj.org/article/c3a16659922c466dbda48dc4d0f9cf2e

الاتاحة: https://doi.org/10.3390/electronics12071657
https://doaj.org/article/c3a16659922c466dbda48dc4d0f9cf2e

المؤلفون: Wenjuan Feng, Jin Gou, Zongwen Fan, Xiang Chen

المصدر: Connection Science, Vol 35, Iss 1 (2023)

مصطلحات موضوعية: an ensemble machine learning approach, feature generation, support vector machine, machine learning, Electronic computers. Computer science, QA75.5-76.95

Relation: http://dx.doi.org/10.1080/09540091.2023.2231168; https://doaj.org/toc/0954-0091; https://doaj.org/toc/1360-0494; https://doaj.org/article/49cb279a488c4048b9c8c1d7805b5a79

الاتاحة: https://doi.org/10.1080/09540091.2023.2231168
https://doaj.org/article/49cb279a488c4048b9c8c1d7805b5a79

المؤلفون: Sakir Engin Sahin, Gokhan Gulhan, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Oliver Faust, U Rajendra Acharya

مصطلحات موضوعية: Artificial intelligence, Science & Technology, Technology, Computer Science, Theory & Methods, engine fault classification, fault detection, machine learning, prism pattern, sound analysis, textural feature generation, NEURAL-NETWORK, DIAGNOSIS, 0801 Artificial Intelligence and Image Processing, 1702 Cognitive Sciences, Artificial Intelligence & Image Processing

Relation: 10779/aru.24058461.v1; https://figshare.com/articles/journal_contribution/PrismPatNet_Novel_prism_pattern_network_for_accurate_fault_classification_using_engine_sound_signals/24058461

الاتاحة: https://figshare.com/articles/journal_contribution/PrismPatNet_Novel_prism_pattern_network_for_accurate_fault_classification_using_engine_sound_signals/24058461