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  1. 361

    Assessment of plant diversity index in degraded desert grassland using UAV hyperspectral multimodal data and Encoder-CNN by Zhaohui Tang, Chuanzhong Xuan, Tao Zhang, Xinyu Gao, Suhui Liu, Mengqin Zhang

    Published 2025-08-01
    “…The use of multimodal data combining spatial spectral features with index features, combined with the Encode-CNN model, can provide the most accurate information on community composition. …”
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    Article
  2. 362

    Using of ASTER, ETM+ and Gamma Spectrometry Airborne Data to Find the Relationship Between the Distribution of Alkali Metasomatism and REE Mineralization in the Bafq Area, Central... by K. Khoshnoodi, M. Yazdi, M. Behzadi, M. Gannadi-Maragheh

    Published 2016-01-01
    “…The Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) and Landsat Enhanced Thematic Mapper Plus (ETM+) image-processing techniques, were used in satellite imagery through conventional and also modern processing methods including band ratios, color composite ratio images and spectral angle mapper to study the spectral discrimination of metasomatically altered rocks based on their mineral assemblages and to investigate critically the link between the distribution of Na-metasomatism and occurrence of REE mineralization through plotting the image processing results on preexisting airborne radiometric data. …”
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  3. 363

    Plant photosynthesis in basil (C3) and maize (C4) under different light conditions as basis of an AI-based model for PAM fluorescence/gas-exchange correlation by Isabell Pappert, Stefan Klir, Luca Jokic, Celine Ühlein, Khanh Tran Quoc, Ralf Kaldenhoff

    Published 2025-05-01
    “…Despite their physiological link, data from both methods do not always correlate. To systematically investigate this relationship, photosynthetic parameters were measured in maize (Zea mays, C4) and basil (Ocimum basilicum, C3) under different photon densities and spectral compositions. …”
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    Article
  4. 364

    Rapid <i>Salmonella</i> Serovar Classification Using AI-Enabled Hyperspectral Microscopy with Enhanced Data Preprocessing and Multimodal Fusion by MeiLi Papa, Siddhartha Bhattacharya, Bosoon Park, Jiyoon Yi

    Published 2025-08-01
    “…Hyperspectral data cubes were collected to generate single-cell spectra and RGB composite images representing the full microscopy field. …”
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    Article
  5. 365

    Integrating data from unmanned aerial vehicles and Sentinel-2 with PROSAIL-5D-driven machine learning for fuel moisture content estimation in agroecosystems by Jinlong Liu, Jia Jin, Jing Huang, Mengjuan Wu, Shaozheng Hao, Haoyi Jia, Tengda Qin, Yuqing Huang, Dan Chen, Nathsuda Pumijumnong

    Published 2025-11-01
    “…An additive wavelet transform (AWT) was employed to fuse unmanned aerial vehicle (UAV) multispectral imagery with Sentinel-2 data, generating enhanced spatial-spectral reflectance composites while retaining key shortwave infrared bands essential for moisture analysis. …”
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  6. 366
  7. 367

    Design Multilayer Antireflection Coatings for Terrestrial Solar Cells by Feng Zhan, Zhipeng Li, Xiaoming Shen, Huan He, Jianmin Zeng

    Published 2014-01-01
    “…By multidimensional matrix data simulation, two methods were employed to measure the composite reflection of a SiO2/ZnS double-layer ARC within the spectral ranges of 300–870 nm (dual junction) and 300–1850 nm (triple junction) under AM1.5 solar radiation. …”
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    Article
  8. 368

    Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

    Published 2025-01-01
    “…To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R2) >0.85. …”
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    Article
  9. 369

    Human Action Recognition Using Difference of Gaussian and Difference of Wavelet by Gopampallikar Vinoda Reddy, Kongara Deepika, Lakshmanan Malliga, Duraivelu Hemanand, Chinnadurai Senthilkumar, Subburayalu Gopalakrishnan, Yousef Farhaoui

    Published 2023-09-01
    “…A novel action descriptor is proposed in this study, based on two independent spatial and spectral filters. The proposed descriptor uses a Difference of Gaussian (DoG) filter to extract scale-invariant features and a Difference of Wavelet (DoW) filter to extract spectral information. …”
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  10. 370

    Effect of surface electromagnetic wave treatment on the refractive properties of thin films based on indium tin oxides with laser-deposited single-walled carbon nanotubes by A. S. Toikka, N. V. Kamanina

    Published 2024-10-01
    “…For ITO-based thin films with laser-deposited CNTs, the described SEW treatment method provides a precise reduction in the thickness of the composite structure while preserving the antireflective properties of the CNTs. …”
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    Article
  11. 371

    SERS-based technique for accessible and rapid diagnosis of multiple myeloma in blood serum analysis by Lyudmila A. Bratchenko, Yulia A. Khristoforova, Irina A. Pimenova, Elena N. Tupikova, Maria A. Skuratova, Georgy A. Dvoynikov-Sechnoy, Shuang Wang, Petr A. Lebedev, Ivan A. Bratchenko

    Published 2025-08-01
    “…Surface-enhanced Raman spectroscopy (SERS) is a promising analytical method for studying the structure and composition of multi-component media in clinical practice. …”
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    Article
  12. 372

    Comprehensive characterization of volatile compounds in Iranian black teas using chemometric analysis of GC-MS fingerprints by Adineh Aminianfar, Mohammad Hossein Fatemi, Fatemeh Azimi

    Published 2024-12-01
    “…Black tea, a widely popular non-alcoholic beverage, is renowned for its unique aroma and has attracted significant attention due to its complex composition. However, the chemical profile of Iranian tea remains largely unexplored. …”
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    Article
  13. 373

    Magnetic Induction Spectroscopy-Based Non-Contact Assessment of Avocado Fruit Condition by Tianyang Lu, Adam D. Fletcher, Richard John Colgan, Michael D. O’Toole

    Published 2025-07-01
    “…For the entire sample batch, the conductivity spectrum exhibits a general upward shift and spectral flattening over ripening time. To further quantify these features, normalized gradient analysis and equivalent circuit modeling were employed, and statistical analysis confirmed the correlations between electrical parameters and ripening stages. …”
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    Article
  14. 374

    Effects of Elevated Temperature and CO2 Enrichment on Stability of Soil Organic Carbon Storage in Mollisols by Xue Haiqing, Yue Ya, Feng Qian, Long Jieqi, Miao Huan, Miao Shujie, Qiao Yunfa

    Published 2023-06-01
    “…Although increased temperature and CO2 had different effects on the composition and proportion of organic carbon molecular structure, organic carbon storage remained stable in mollisols. …”
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  15. 375
  16. 376

    Synthesis, spectroscopic characterization and biological applications of some novel Schiff base transition metal (II) complexes derived from curcumin moiety by T.J. Saritha, P. Metilda

    Published 2021-06-01
    “…FT-IR, UV–Vis, NMR, Mass, TG-DTA and ESR spectral techniques were used to confirm the structures of the metal chelates and ligand. …”
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    Article
  17. 377

    Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays by Dony Darmawan Putra, Wan-Jen Huang

    Published 2025-01-01
    “…Moreover, the simulation results also show that the spectral efficiency of the precoding scheme determined using the proposed search algorithm and codebook is the highest compared to existing methods. …”
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    Article
  18. 378

    STRUCTURAL MODIFICATION OF NEW FORMATIONS IN CEMENT MATRIX USING CARBON NANOTUBE DISPERSIONS AND NANOSILICA by B. M. Khroustalev, S. N. Leonovich, G. I. Yakovlev, I. S. Polianskich, O. Lahayne, J. Eberhardsteiner, G. Skripkiunas, I. A. Pudov, E. A. Karpova

    Published 2017-03-01
    “…Complex nanodispersed systems with multi-walled carbon nanotubes and nanodispersed silica have a significant impact on the processes of hydration, hardening and strength gain of construction composites predetermining their durability. While using a scanning electron microscope with an attachment for X-ray microanalysis and a device for infrared spectral analysis investigations have shown that the main effect of the cement matrix modification in the case of adding complex nanodispersed systems is provided by direct influence of hydration processes with subsequent crystallization of new formations. …”
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  19. 379

    Nanostructure Formation in the Nickel-Chrome Coating After Duplex Treatment by N.V. Prohorenkova, A.D. Pogrebnjak, D.L. Alontseva, M.V. Kaverin

    Published 2010-01-01
    “…TEM metallography, scanning electron microscopy, X-ray photoelectron spectroscopy, X-ray spectral analysis, X-ray structural phase analysis, determination of the microhardness and the corrosion resistance are chosen as the main research methods. …”
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    Article
  20. 380