المؤلفون: Chengcheng Chen, Xiliang Zhang, Yuhao Zhou, Yugang Chang, Weiming Zeng

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 893-907 (2024)

مصطلحات موضوعية: Convolutional neural networks (CNNs), feature aggregation, global frequency domain features, high-order feature interaction, remote sensing ship detection, transformer architecture, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10568458/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/e8d60baa83414735a625ee369eb56784

المؤلفون: Jianhui Cao, Jianjie Zhang, Xinze Jiao, Peibo Yu, Baobao Zhang

المصدر: Sensors, Vol 24, Iss 14, p 4633 (2024)

مصطلحات موضوعية: gearbox fault diagnosis, DRSN-CW model, cross-attention mechanism, frequency domain features, noise, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/14/4633; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/a375f82c7705485ab67dee3cf28cdcbc

المؤلفون: Qibei Gong, Xijun Jiang, Yuxuan Liu, Min Yu, Youfan Hu

المصدر: Advanced Electronic Materials, Vol 9, Iss 9, Pp n/a-n/a (2023)

مصطلحات موضوعية: flexible systems, sEMG, time‐domain features, frequency‐domain features, muscle strength, muscle fatigue, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2199-160X

URL الوصول: https://doaj.org/article/f6a5d4b2b42c4e0ba2e2a6576c49d1a7

المؤلفون: Mahbubeh Nazarloo, Meisam Yadollahzadeh‐Tabari, Homayun Motameni

المصدر: IET Computers & Digital Techniques, Vol 16, Iss 1, Pp 19-28 (2022)

مصطلحات موضوعية: fractal dimension, learning vector quantization, modified cuckoo optimization algorithm, multi‐object tracking, time and frequency domain features, wavelet transform, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-8601; https://doaj.org/toc/1751-861X

URL الوصول: https://doaj.org/article/75b1fbc4cb6044c49a4fb700fe9263cc

المؤلفون: Pengyue Ma, Bingbing Ge, Hongbo Yang, Tao Guo, Jiahua Pan, Weilian Wang

المصدر: MethodsX, Vol 10, Iss , Pp 102032- (2023)

مصطلحات موضوعية: Fusion of time-frequency domain features and depth features and classification of XGBoost., Science

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215016123000365; https://doaj.org/toc/2215-0161

URL الوصول: https://doaj.org/article/38fee47ec97c48d9b7fd389147b63743

المؤلفون: Bo Wang, Xiaohan Wu, Yeling Tang, Yanyan Ma, Zihao Shan, Fei Wei

المصدر: Mathematics; Volume 11; Issue 4; Pages: 816

مصطلحات موضوعية: deepfake detection, neural networks, wavelet transform, frequency domain features, feature fusion

وصف الملف: application/pdf

Relation: Mathematics and Computer Science; https://dx.doi.org/10.3390/math11040816

الاتاحة: https://doi.org/10.3390/math11040816

المؤلفون: Rongsheng Zhu, Yunpeng Li, Qian Huang, Sihan Li, Xinyu Zhang, Huairui Li, Qiang Fu

المصدر: Energies, Vol 16, Iss 22, p 7653 (2023)

مصطلحات موضوعية: SEC pump, vertical centrifugal pump, fault diagnosis, wavelet packet decomposition, frequency domain features, support vector machine, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/16/22/7653; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/63e819a28f204791bc57bd683af68724

المؤلفون: F. Michael Thomas Rex, A. Andrews, A. Krishnakumari, P. Hariharasakthisudhan

المصدر: Metrology and Measurement Systems, Vol 27, Iss 3, Pp 451-464 (2020)

مصطلحات موضوعية: gear fault, ahao-atlas-marks, time-frequency domain features, hu invariant moments, ann, Technology

وصف الملف: electronic resource

Relation: http://journals.pan.pl/dlibra/publication/134587/edition/117622/content; https://doaj.org/toc/2300-1941

URL الوصول: https://doaj.org/article/e03c850f1d4546f6854ad7ca1026d870

المؤلفون: Guijun Chen, Xueying Zhang, Ying Sun, Jing Zhang

المصدر: IEEE Access, Vol 8, Pp 11907-11916 (2020)

مصطلحات موضوعية: Emotion recognition, EEG source reconstruction, inverse solution, difference analysis of active source, time- and frequency-domain features, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8957051/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/30abc5d2e15e4e9e850abf9a03bd3771

المؤلفون: Igor Stancin, Nikolina Frid, Mario Cifrek, Alan Jovic

المصدر: Sensors; Volume 21; Issue 20; Pages: 6932

مصطلحات موضوعية: drowsiness detection, EEG, frequency-domain features, multicriteria optimization, machine learning

وصف الملف: application/pdf

Relation: Intelligent Sensors; https://dx.doi.org/10.3390/s21206932

الاتاحة: https://doi.org/10.3390/s21206932

المؤلفون: Güvensan, M.Amaç, AŞCI, GÜVEN

المساهمون: 285689

مصطلحات موضوعية: Transport Mode Detection, Recurrent Neural Network, Time-Domain and Frequency Domain Features

Relation: PerCom International Conference on Pervasive Computing and Communication; https://hdl.handle.net/11413/5178

الاتاحة: https://hdl.handle.net/11413/5178

المؤلفون: Ahmed Faeq Hussein, N. Arunkumar, Chandima Gomes, Abbas K. Alzubaidi, Qais Ahmed Habash, Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramirez-Gonzalez

المصدر: IEEE Access, Vol 6, Pp 49306-49324 (2018)

مصطلحات موضوعية: Focal epilepsy, non-focal epilepsy, time and frequency domain features, nonlinear features, machine learning algorithms, EEG signal analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8445554/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f265895d3f564b1db860cab992673d96

المؤلفون: Sánchez, René Vinicio, Lucero, Pablo, Macancela, Jean Carlo, Rubio Alonso, Higinio, Cerrada, Mariela, Cabrera, Diego, Castejón Sisamón, Cristina

المساهمون: Ministerio de Economía y Competitividad (España)

مصطلحات موضوعية: Railway axles, Crack detection, Condition monitoring, Time-domain features, Frequency-domain features, Random forest classifier, Feature extraction, Feature selection, Ingeniería Mecánica

Relation: Gobierno de España. DPI2015-69325-C2-1-R; Sánchez, R.-V., Lucero, P., Macancela, J.-C., Rubio Alonso, H., Cerrada, M., Cabrera, D., & Castejón, C. (2020). Evaluation of time and frequency condition indicators from vibration signals for crack detection in railway axles. Applied Sciences (Basel, Switzerland), 10(12), 4367.; http://hdl.handle.net/10016/36039; https://doi.org/10.3390/app10124367; 12; 19; Applied Sciences (MDPI); 10; AR/0000026223

الاتاحة: http://hdl.handle.net/10016/36039
https://doi.org/10.3390/app10124367

المؤلفون: Pangshi Wei, Hongjun Wang

المصدر: The Journal of Engineering (2019)

مصطلحات موضوعية: vibrations, frequency-domain analysis, machine tool spindles, time-domain analysis, eigenvalues and eigenfunctions, machine tools, feature extraction, mechanical engineering computing, condition monitoring, rf algorithm, eigenvalues, modes component, frequency domain features, time domain, modal components, variational mode decomposition, degradation evaluation, performance degradation degree, machine tool quality, core components, random forests, spindle performance degradation, vmd, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9127; https://doaj.org/toc/2051-3305

URL الوصول: https://doaj.org/article/435ed5ba6dcd4fdc80f7f690d5d6e4d5

المؤلفون: Sheng-Long Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Hongzhi Qi, Dong Ming

المصدر: Frontiers in Human Neuroscience, Vol 13 (2019)

مصطلحات موضوعية: neuromuscular electrical stimulation (NMES), current change rate, cortical excitability, time-frequency domain features, source analysis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fnhum.2019.00152/full; https://doaj.org/toc/1662-5161

URL الوصول: https://doaj.org/article/959c6fbd7f1b4403a046084719266378

المؤلفون: Ramli, Saliza, Kamil, Raja, Ahmad, Siti Anom, Mahmud, Rozi, Mohtarrudin, Norhafizah

المصدر: International Journal of Integrated Engineering; Vol. 11 No. 3 (2019): Special Issue 2019: Electrical and Electronic Engineering ; 2600-7916 ; 2229-838X

مصطلحات موضوعية: Pressure Ulcer, Skin Blood Flow Response, Reactive Hyperemia, Time Domain Features, Frequency Domain Features, Peak of Power Spectrum, Total of Power Spectrum

وصف الملف: application/pdf

Relation: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/4537/2939; http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/4537

الاتاحة: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/4537

المؤلفون: R. Gopinath, C. Santhosh Kumar, R. I. Ramachandran

المصدر: International Journal of Prognostics and Health Management, Vol 9, Iss 2 (2018)

مصطلحات موضوعية: condition based maintenance (cbm), synchronous generator, support vector machine, data driven approaches, locality constrained linear coding (llc), nuisance attribute projection (nap), frequency domain features, Engineering machinery, tools, and implements, TA213-215, Systems engineering, TA168

وصف الملف: electronic resource

Relation: https://papers.phmsociety.org/index.php/ijphm/article/view/2737; https://doaj.org/toc/2153-2648

URL الوصول: https://doaj.org/article/e60e875cabb743f4a86641a43c2e838a

المؤلفون: Stančin, Igor

المساهمون: Jović, Alan

مصطلحات موضوعية: TEHNIČKE ZNANOSTI. Elektrotehnika, TECHNICAL SCIENCES. Electrical Engineering, Elektrotehnika, Electrical engineering, info:eu-repo/classification/udc/621.3(043.3), drowsiness detection, eeg features, frequency domain features, multi-channel frequency features, detekcija pospanosti, eeg značajke, značajke frekvencijske domene, višekanalne frekvencijske značajke

وصف الملف: application/pdf

Relation: https://dr.nsk.hr/islandora/object/fer:11768; https://urn.nsk.hr/urn:nbn:hr:168:341252; https://repozitorij.unizg.hr/islandora/object/fer:11768; https://repozitorij.unizg.hr/islandora/object/fer:11768/datastream/PDF

الاتاحة: https://dr.nsk.hr/islandora/object/fer:11768
https://urn.nsk.hr/urn:nbn:hr:168:341252
https://repozitorij.unizg.hr/islandora/object/fer:11768
https://repozitorij.unizg.hr/islandora/object/fer:11768/datastream/PDF

المؤلفون: Luis Trejo, Ari Barrera-Animas

المصدر: Sensors; Volume 18; Issue 9; Pages: 2857

مصطلحات موضوعية: time-domain features, frequency-domain features, principal component analysis, behaviour analysis, classifier efficiency, personal risk detection, one-class classification, wearable sensors

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/s18092857

الاتاحة: https://doi.org/10.3390/s18092857

المؤلفون: Chit, Yin Win, Dr. Renu, Dr. Renu

المصدر: American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS); Vol 31 No 1 (2017); 183-190 ; 2313-4402 ; 2313-4410

مصطلحات موضوعية: Time-domain Features, Frequency-domain Features, Fuzzy Logic, Mel Frequency Cepstral Coefficient, Correlation Coefficient

وصف الملف: application/pdf

Relation: http://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/2912/1134; http://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/2912

الاتاحة: http://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/2912