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Showing 421 - 431 results of 431 for search 'spectral composition (method OR methods)', query time: 0.11s Refine Results
  1. 421

    Spatiotemporal assessment of environmental change in Kushtia, Bangladesh (1998–2023) using remote sensing-based environmental indices by Md. Anik Hossain, Md. Rahedul Islam, Tamanna Yesmin, Rabeya Sultana, Md. Kamrul Hossain, Rafiquel Islam

    Published 2025-06-01
    “…This study examines spatiotemporal environmental changes in Kushtia from 1998 to 2023, utilizing NDVI, NDWI, NDMI, and LST derived from multi-spectral satellite imagery. A PCA-based weighted overlay method integrates these indices into a composite index to evaluate each year's overall environmental condition. …”
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  2. 422
  3. 423

    A Data-driven M Dwarf Model and Detailed Abundances for ​​​​​​∼17,000 M Dwarfs in SDSS-V by Aida Behmard, Melissa K. Ness, Andrew R. Casey, Ruth Angus, Katia Cunha, Diogo Souto, Yuxi(Lucy) Lu, Jennifer A. Johnson

    Published 2025-01-01
    “…The cool temperatures of M dwarf atmospheres enable complex molecular chemistry, making robust characterization of M dwarf compositions a long-standing challenge. Recent modifications to spectral synthesis pipelines have enabled more accurate modeling of M dwarf atmospheres, but these methods are too slow for characterizing more than a handful of stars at a time. …”
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  4. 424

    Optical analysis of Eu3+ and Tb3+: B2O3-P2O5-WO3-Li2O-(ZnO/CdO/TeO2) glasses by Perla Aruna, Shaik Hajira, Mandli Venkata Ramanaiah, Vadlathala Sahadeva Reddy, Konda Nagamuni Reddy, Busireddy Sudhakar Reddy

    Published 2025-07-01
    “…The elemental analysis for confirming compositional homogeneity was confirmed by SEM and EDAX analysis. …”
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  5. 425

    Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

    Published 2025-06-01
    “…This study integrates active and passive remote sensing data with Machine Learning (ML) methods to predict the physicochemical properties of degraded sandy soils in the Brazilian Cerrado. …”
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  6. 426

    An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

    Published 2025-06-01
    “…On the other hand, the different acoustic features, including mel-frequency cepstral coefficient (MFCC), gammatone cepstral coefficient (GTCC), GTCC-Δ, harmonic to noise ratio (HNR), spectral features and pitch were obtained. These acoustic and spatio-textural features were fused to yield a composite audio-visual feature set, which was later processed for principal component analysis (PCA) to minimize redundancy, and k-NN as part of an ensemble classifier to enhance prediction accuracy, achieving superior performance. …”
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  7. 427

    A Modified Model Dielectric Function for Analyzing Optical Spectra of InGaN Nanofilms on Sapphire Substrates by Devki N. Talwar, Hao-Hsiung Lin, Jason T. Haraldsen

    Published 2025-03-01
    “…Due to a lower InN bandgap <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">e</mi><mi mathvariant="normal">n</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">r</mi><mi mathvariant="normal">g</mi><mi mathvariant="normal">y</mi><mo> </mo><msub><mrow><mi mathvariant="normal">E</mi></mrow><mrow><mi mathvariant="normal">g</mi></mrow></msub><mo>~</mo><mn>0.7</mn><mo> </mo><mi mathvariant="normal">e</mi><mi mathvariant="normal">V</mi></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi mathvariant="normal">I</mi><mi mathvariant="normal">n</mi></mrow><mrow><mi mathvariant="normal">x</mi></mrow></msub><msub><mrow><mi mathvariant="normal">G</mi><mi mathvariant="normal">a</mi></mrow><mrow><mn>1</mn><mo>−</mo><mi mathvariant="normal">x</mi></mrow></msub><mi mathvariant="normal">N</mi><mo>/</mo><mi mathvariant="normal">S</mi><mi mathvariant="normal">a</mi><mi mathvariant="normal">p</mi><mi mathvariant="normal">p</mi><mi mathvariant="normal">h</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">r</mi><mi mathvariant="normal">e</mi></mrow></semantics></math></inline-formula> epifilms are considered valuable in the development of low-dimensional heterostructure-based photonic devices. Adjusting the composition x and thickness d in epitaxially grown films has offered many possibilities of light emission across a wide spectral range, from ultraviolet through visible into near-infrared regions. …”
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  8. 428

    Exploring drought hazard, vulnerability, and related impacts on agriculture in Brandenburg by F. Brill, P. H. L. Alencar, H. Zhang, F. Boeing, F. Boeing, S. Hüttel, S. Hüttel, T. Lakes, T. Lakes

    Published 2024-11-01
    “…The aim of this study is to investigate to what extent hazard and vulnerability indicators can explain observed agricultural drought impacts via data-driven methods. We focus on the German federal state of Brandenburg, 2013–2022, including several consecutive drought years. …”
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  9. 429

    Early peripapillary neurovascular injury and its relevant systemic factors in type 2 diabetic patients without retinopathy: An OCTA based study by Haochen Jin, Kaiyue Wang, Changhong Ren, Shan He, Yuan Gao, Xiaofang Liang, Xuxiang Zhang

    Published 2025-08-01
    “…Retinal microvascular and microstructural networks were visualized using spectral domain optical coherence tomography angiography. …”
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  10. 430

    Experimental Study on Dynamic Response Characteristics of Rural Residential Buildings Subjected to Blast-Induced Vibrations by Jingmin Pan, Dongli Zhang, Zhenghua Zhou, Jiacong He, Long Zhang, Yi Han, Cheng Peng, Sishun Wang

    Published 2025-07-01
    “…Strong-motion seismographs were strategically positioned adjacent to frame columns on critical stories (ground, fourth, seventh, and top floors) within the observational system to acquire test data. Methodical signal processing techniques, including effective signal extraction, baseline correction, and schedule conversion, were employed to derive temporal dynamic characteristics for each story. …”
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  11. 431

    Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST by ChangHoon Hahn, Peter Melchior

    Published 2025-01-01
    “…Spectral energy distribution (SED) modeling is one of the main methods to estimate galaxy properties, such as photometric redshifts, z , and stellar masses, M _* , for extragalactic imaging surveys. …”
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