Committee Machine Learning for Electrofacies-Guided Well Placement and Oil Recovery Optimization by Adewale Amosu, Dung Bui, Oluwapelumi Oke, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Najmudeen Sibaweihi, William Ampomah

“…Using several unsupervised machine learning methods, including k-means, k-median, hierarchical clustering, spectral clustering, and the Gaussian mixture model, we predict electrofacies from wireline well log data and generate their 3D vertical and lateral distributions and inferred geological properties. …”
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Optical screening of citrus leaf diseases using label-free spectroscopic tools: A review by Saurav Bharadwaj, Akshita Midha, Shikha Sharma, Gurupkar Singh Sidhu, Rajesh Kumar

“…Moreover, the role of artificial intelligence is reviewed as potential effective tools for spectral analysis, enabling accurate detection of infected citrus leaves even before the appearance of visual symptoms by leveraging compositional, morphological, and chemometric characteristics of the plant leaves. …”
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Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring by Beatrice Savinelli, Giulia Tagliabue, Luigi Vignali, Roberto Garzonio, Rodolfo Gentili, Cinzia Panigada, Micol Rossini

“…Traditional field-based methods are often labour-intensive, costly, and logistically challenging, limiting their use for large-scale applications. …”
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Zebrafish caudal fin model to investigate the role of Cissus quadrangularis, bioceramics, and tendon extracellular matrix scaffolds in bone regeneration by S. Balaji Ganesh, Fharreeha Fathima Anees, Gurumoorthy Kaarthikeyan, Taniya Mary Martin, Meenakshi Sundaram Kishore Kumar, M.I. Sheefaa

“…Materials and methods: Zebrafish were subjected to caudal fin amputation, followed by the application of different scaffold groups. …”
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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

“…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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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

“…Adhering to the principle of stratified arrangement and composite measurement point configuration, an effective and reasonable experimental observation framework was established. …”
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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

“…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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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

“…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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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

“…Existing drought risk studies often rely on expert-weighted composite indicators, while empirical evidence on impact-relevant factors is still scarce. …”
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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

“…Retinal microvascular and microstructural networks were visualized using spectral domain optical coherence tomography angiography. …”
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Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST by ChangHoon Hahn, Peter Melchior

“…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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