Suchergebnisse - "spectral features"
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Autoren:
Quelle: Artificial Intelligence in Agriculture, Vol 15, Iss 3, Pp 482-495 (2025)
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Autoren: Karla Schäfer
Quelle: Proceedings of the 2025 International Conference on Multimedia Retrieval. :2023-2027
Schlagwörter: Feature Analysis, Time Domain, Audio Deepfakes, Spectral Features
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Quelle: Bulletin of the National Technical University "KhPI". Series: Mathematical modeling in engineering and technologies; No. 2(9) (2025): Bulletin of the National Technical University "KhPI". Series: Mathematical modeling in engineering and technologies; 62-69
Вестник Национального технического университета "ХПИ". Серия: Математическое моделирование в технике и технологиях; № 2(9) (2025): Вісник Національного технічного університету «ХПІ». Серія: Математичне моделювання в техніці та технологіях; 62-69
Вісник Національного технічного університету «ХПІ». Серія: Математичне моделювання в техніці та технологіях; № 2(9) (2025): Вісник Національного технічного університету «ХПІ». Серія: Математичне моделювання в техніці та технологіях; 62-69Schlagwörter: Support Vector Machine, Approximate Nearest Neighbor, обробка аудіо, перетворення Фур'є, кепстральні коефіцієнти Mel-Frequency, аналіз сигналів, машинне навчання, audio processing, spectral features, signal analysis, метод опорних векторів, метод найближчого сусіда, machine learning, Mel-Frequency Cepstral Coefficients, Fourier transform, спектральні характеристики
Dateibeschreibung: application/pdf
Zugangs-URL: http://mmtt.khpi.edu.ua/article/view/341129
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Autoren: et al.
Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 10882-10895 (2025)
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Autoren: et al.
Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 10608-10624 (2025)
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Autoren: et al.
Quelle: IEEE Access, Vol 13, Pp 2463-2473 (2025)
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Autoren:
Quelle: Systems and Soft Computing, Vol 7, Iss , Pp 200226- (2025)
Schlagwörter: Image smoothing, Noise reduction, Remote sensing images, Spectral features, Image fusion, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: Frontiers in Neuroscience, Vol 19 (2025)
Schlagwörter: polarized light, visual fatigue, subjective alertness, blink rate, EEG spectral features, alpha centroid frequency, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA). :1-6
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Autoren: et al.
Quelle: Array, Vol 27, Iss , Pp 100477- (2025)
Schlagwörter: Gait, Ultra-wide band radar, Gender classification, Spectral features, Feed forward artificial neural network, Ridge classifier, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25427-25438 (2025)
Schlagwörter: Adaptive boosting (AdaBoost), genetic algorithm (GA), Landsat 8, soil organic matter (SOM), spectral features, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
Dateibeschreibung: electronic resource
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Autoren:
Schlagwörter: Biophysics, Biochemistry, Ecology, Inorganic Chemistry, Environmental Sciences not elsewhere classified, Astronomical and Space Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, ultraviolet – visible, symmetric stretch broadens, spectroscopic signals indicate, spectral features suggests, spectral data indicate, certain spectral features, 40 ° c, 2 + sup, raman band associated, nuclear waste remediation, hexavalent oxidation state, complex actinyl ions, spectrum indicates coordination, 3 sub, nitrate speciation depends, nitrate speciation control, symmetry nitrate complex, symmetry aquo complex, symmetry complex, nitrate system, nitrate ligands, solution state
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Autoren: et al.
Schlagwörter: Medicine, Microbiology, Cell Biology, Biotechnology, Infectious Diseases, Virology, Computational Biology, Space Science, systematic profiling revealed, specific spectral features, overlapping spectral features, limiting diagnostic accuracy, level fusion approach, integrating spectra acquired, incubation time required, enhanced raman spectroscopy, cell wall disruption, based classification model, associated metabolic outputs, fungal pathogens remains, identification accuracy across, clinical fungal pathogens, precise pathogen identification, shows great potential, sers acquisition process, clinical fungal diagnostics, fungal diagnostics, accurate identification, precise differentiation, clinical microbiology
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Autoren: et al.
Schlagwörter: Biotechnology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, two excitation wavelengths, noble metal nanoparticles, enhanced raman spectroscopy, consolidated via probability, comprehensive analytical profile, complex chemical compositions, capture fingerprint information, blind sample testing, holistic sers fingerprint, complex matrix samples, combined spectral features, traditional sers methods, robust wastewater identification, precise wastewater identification, spectral features, wastewater samples, traditional label, target identification, characterizing samples, various conditions, precise acquisition, potential applications, multisubstrate strategy, method maintained, intricate challenges
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Autoren: et al.
Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18167-18181 (2024)
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Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Autoren: et al.
Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3878-3916 (2024)
Schlagwörter: hyperspectral image classification (HSIC), deep ensemble, QC801-809, Convolutional neural network (CNN), Geophysics. Cosmic physics, 0211 other engineering and technologies, 02 engineering and technology, spectral features, 01 natural sciences, Ocean engineering, deep learning (DL), spatial features, TC1501-1800, 0105 earth and related environmental sciences
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Autoren: et al.
Quelle: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 923-933 (2024)
Schlagwörter: 0301 basic medicine, global and regional variability, Consciousness, Brain, fNIRS, RM1-950, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, dynamic brain temporal-spectral features, dynamic brain functional networks, Deep brain stimulation, Medical technology, Humans, Consciousness Disorders, Therapeutics. Pharmacology, R855-855.5, disorders of consciousness
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Autoren:
Quelle: IEEE Access, Vol 12, Pp 167262-167277 (2024)
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Autoren: et al.
Quelle: Agricultural Water Management, Vol 311, Iss , Pp 109390- (2025)
Schlagwörter: Winter wheat, Water-fertilizer use efficiency, Remote sensing, Spectral features, Texture features, Agriculture (General), S1-972, Agricultural industries, HD9000-9495
Dateibeschreibung: electronic resource
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: urn:tid:203811348
Schlagwörter: Patologias de voz, Parâmetros espectrais, Parâmetros acústicos, Discriminação, Sinais de fala, Voice pathologies, Spectral features, Acoustic parameters, Discrimination, Speech signals
Dateibeschreibung: application/pdf
Verfügbarkeit: http://hdl.handle.net/10400.21/21359
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