Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…In this contribution, we propose a novel parallel patch-wise sparse residual learning (P²SR) algorithm for resolution enhancement based on fusion of HSI and MSI. …”
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Enhancing wheat flour origin traceability by using laser-induced breakdown spectroscopy and Raman spectroscopy by Minghui Gu, Chao Liu, Hansong Huang, Xin Zhang, Jiguo Li, Qingbin Jiao, Liang Xu, Mingyu Yang, Xin Tan

“…First, a hybrid feature selection method, termed ANOVA-Sine Cosine Algorithm (AVSCA), was developed by integrating analysis of variance (ANOVA) with the Sine Cosine Algorithm (SCA) to extract spectral fingerprint information of wheat flour. …”
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SiO₂ Nanolayer Regulated Ag@Cu Core-Shell SERS Platform Integrated Machine Learning for Intelligent Identification of Jujuboside A, Saikosaponin A and Timosaponin... by Wenying Zhou, Xue Han, Yanjun Wu, Guochao Shi, Shiqi Xu, Mingli Wang, Wenzhi Yuan, Jiahao Cui, Zelong Li

“…An effective SERS-based detection method assisted by machine learning algorithm has been developed to intelligently identify the pharmacodynamic substances in traditional Chinese medicine (TCM) which aided in the quality control and identification of TCM. …”
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Impact of Assimilating Microwave Radiance Data on Forecast of "23·7" Extreme Rainstorm in North China by Zhong Peiwen, Chen Yaodeng, Xie Yanhui, Chen Min, Fan Shuiyong, Li Juan

“…The process of preparing satellite microwave radiance data for assimilation involves several steps, including cloud detection, quality control, and bias correction. The cloud detection algorithm utilizes the absolute value of observation minus background (OMB) for 52.8 GHz channel to identify and exclude cloudy observations. …”
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Surveillance and Prevention of Fungal Infections in the Neonatal Intensive Care Unit by Prof Batyrbek Aslanov, Dr Larisa Ermakova, Dr Anna Nabieva

“…The IPC algorithm includes notification of epidemiologists and clinical pharmacologists and barrier precautions. …”
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Adaptive respiratory muscle trainer based on hybrid nanogenerator sensor and artificial intelligence by Ziao Xue, Puchuan Tan, Jiangtao Xue, Yuan Xi, Minghao Liu, Yang Zou, Qiang Zheng, Zhou Li, Yuxiang Wu

“…This hybrid sensor can simultaneously collect both high‐frequency and low‐frequency signals generated by the Karman vortex street effect with low hysteresis. …”
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Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

“…This strategy allows us to naturally separate WDMS binaries from single WDs from the detection of subtle red flux excesses in the XP spectra that are indicative of low-mass MS companions. …”
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The Least Limiting Water Range to Estimate Soil Water Content Using Random Forest Integrated with GIS and Geostatistical Approaches by Orhan Dengiz, Pelin Alaboz

“…However, variations were found in the distribution of areas with low LLWR below the surface. As a result of the study, it was determined that LLWR can be obtained with a low error rate with the RF algorithm, and distribution maps can be created with lower error in surface soils.…”
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Analysis of the Influence of Different Fracture Network Structures on the Production of Shale Gas Reservoirs by Ming Yue, Xiaohe Huang, Fanmin He, Lianzhi Yang, Weiyao Zhu, Zhangxin Chen

“…Different fracture structures exert significantly different effects on shale gas production, and a fracture structure can be learned only in a later part of detection. On the basis of a multiscale gas seepage model considering diffusion, slippage, and desorption effects, a three-dimensional finite element algorithm is developed. …”
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Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories by Qiqi Li, Manudeo Singh, Sonia Silvestri

“…Their complex geomorphology makes detection challenging with single‐sensor, low‐resolution remote sensing imagery. …”
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AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis by Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho, Sung Eun Song

“…B-mode ultrasound (US) is essential for early detection, offering high sensitivity and specificity without radiation exposure. …”
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Selective Power Control in Grid-Connected AC Microgrids by Joao Marcus S. Callegari, Lucas S. Araujo, Danilo I. Brandao

“…The increasing penetration of nonlinear loads (NLLs) and distributed energy resources (DERs) in low-voltage grids poses challenges to power quality and grid hosting capacity (GHC). …”
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Solar-Blind Ultraviolet Four-Quadrant Detector and Spot Positioning System Based on AlGaN Diodes by Longfei Peng, Shangqing Li, Yong Huang, Yang Yang

“…The system employs a high-linearity, low-noise capacitive transimpedance amplifier (CTIA) as the readout circuit for the high-sensitivity and rapid-response solar-blind UV detectors, enabling the precise conversion of weak photocurrent signals into voltage signals for digitization. …”
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Limbal stem cell deficiency diagnostics by B.E. Malyugin, S.A. Borzenok, S.Yu. Kalinnikova, M.Yu. Gerasimov

“…It is known that the efficiency of corneal transplantation in LSCD patients is low and requires repeated interventions. One of the important problems is the lack of a clear diagnostic algorithm and a standardized set of diagnostic techniques for this condition. …”
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Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau by Guang Pu, Lingyu Han, Liangliang Chen, Dan Wan, Hongfen Teng

“…While numerous studies have analyzed vegetation changes on the Tibetan Plateau from 1982 to 2015 using remote sensing data, most have been limited by insufficient temporal coverage and low-resolution datasets, constraining the accuracy of trend detection and driver analysis. …”
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Changes in objective characteristics in brain electrical activity in newborns as a function of birth weight by Anastasiya E. Runnova, Yuliya A. Zhuravleva, Evgeniy N. Egorov, Evgeniya E. Drozhdeva

“…Monitoring of EEG signals according to the proposed algorithm may become the basis for the development of additional tools for early detection of possible disorders of neurological development of the newborn.…”
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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…The availability of light detection and ranging data (LiDAR) has resulted in a new era of landscape analysis. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…Traditional methods fail to detect low-observable (LO) UASs effectively, thus presenting considerable threats in defense and civil sectors. …”
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Phase Demodulation of Short-Cavity Fabry–Perot Interferometric Acoustic Sensors With Two Wavelengths by Hao Liao, Ping Lu, Li Liu, Shun Wang, Wenjun Ni, Xin Fu, Deming Liu, Jiangshan Zhang

“…These features make the sensor especially suitable for noise detection.…”
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Mitigating the Impact of Satellite Vibrations on the Acquisition of Satellite Laser Links Through Optimized Scan Path and Parameters by Muhammad Khalid, Wu Ji, Deng Li, Li Kun

“…A satellite platform vibration model is used, and an algorithm for estimating its power spectral density is applied. …”
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