Prediction of tea leaf characteristics using spectral data and machine learning techniques by Sum Tateh, Suyog Balasaheb Khose, Damodhara Rao Mailapalli, Chandranath Chatterjee, Narendra Singh Raghuwanshi

“…The remote sensing spectral reflectance has the potential to detect variations in leaf characteristics. This study predicts tea leaf characteristics and detects leaf infestation using spectral reflectance data and machine learning (ML) algorithms. …”
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Corneal Allografts: Factors for and against Acceptance by Justyna Sakowska, Paulina Glasner, Maciej Zieliński, Piotr Trzonkowski, Leopold Glasner

“…However, the increasing need for retransplantation in high-risk patients with markedly higher risk of rejection causes ophthalmology transplantation centers to reevaluate their standard algorithms. In this review we discuss immune privilege mechanisms influencing the allograft acceptance and factors disrupting the natural immunosuppressive environment of the eye. …”
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Thermal performance analysis of gas turbine power plant using soft computing techniques: a review by Ravindra S. Surase, Ramakrishna Konijeti, Ramchandra P. Chopade

“…Soft computing methods such as neural networks, genetic algorithms, and fuzzy logic offer potent tools for this optimization due to their ability to handle the turbines' nonlinear and dynamic characteristics. …”
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Adaptive Guided Filtering and Spectral-Entropy-Based Non-Uniformity Correction for High-Resolution Infrared Line-Scan Images by Mingsheng Huang, Yanghang Zhu, Qingwu Duan, Yaohua Zhu, Jingyu Jiang, Yong Zhang

“…Extensive experiments on simulated and real datasets demonstrate that the method consistently outperforms six state-of-the-art algorithms across multiple metrics while maintaining the fastest runtime. …”
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AI-Assisted Passive Magnetic Distance/Position Sensor by Chaoyi Qiu, Zhenghong Qian, Qiao Qi, Ruigang Wang, Xiumei Li, Ru Bai

“…Experimental results demonstrate that the BP neural network approach, when employing a single magnetic sensor, exhibits a measurement error in the range of −0.0268 mm to 0.0362 mm over a distance of 0–70 mm, which is significantly lower than traditional methods based on the magnetic dipole model and the Levenberg–Marquardt (LM) algorithm. Increasing the number of sensors to three reduces the error further to −0.0107 mm to 0.0093 mm. …”
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Adaptive Spanning Tree-Based Coverage Path Planning for Autonomous Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish, K. R. Guruprasad

“…We propose a Dynamic Spanning Tree Coverage (D-STC) algorithm designed to handle both stationary and moving obstacles using a depth-first search (DFS) methodology. …”
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THE URGENCY OF GENETIC VERIFICATION OF NON-COMPACTION CARDIOMYOPATHY IN CHILDREN: CLINICAL CASES by Nataliya A. Sdvigova, Elena N. Basargina, Dmitry V. Ryabtsev, Kirill V. Savostyanov, Alexander A. Pushkov, Natalia V. Zhurkova, Grigory V. Revunenkov, Olga P. Zharova

“…The description of clinical cases shows the importance of genetic verification of the diagnosis in patients with non-compaction cardiomyopathy for determining the disease prognosis and developing an algorithm for monitoring relatives of a proband.…”
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Real-Time Drivable Region Mapping Using an RGB-D Sensor with Loop Closure Refinement and 3D Semantic Map-Merging by ChangWan Ha, DongHyun Yang, Gicheol Wang, Sung Chang Kim, HyungGi Jo

“…Additionally, a map-merging algorithm for semantic maps is proposed to address large-scale environments. …”
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Hybrid BS-Cooperative Power Management Scheme with Self-Organized Sleep Mode in Virtual Cell-Based Femto Networks by Wei Zheng, Wei Li, Yuanbao Xie, Xiangming Wen

“…Moreover, simulation results show that the proposed algorithm outperforms other three schemes in terms of average cumulative interference time and the energy consumption.…”
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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

“…By integrating random kitchen sinks (RKS) algorithm with KPCA, we achieved a 25.21% reduction in computational time while maintaining model accuracy. …”
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An Assessment of the Use of Visual Odometry in Localization by İ. Yakar, R. A. Kucak, S. Bilgi

“…The process commonly involves detecting and matching key points or features in the images, such as corners or edges, and then using algorithms to calculate the camera's motion. …”
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Identification of active gully erosion sites on the loess plateau based on terrain profile lines by Shan He, Jilong Li, Han Wu, Tianjiao Cui

“…We first generated gully topographic profiles in the Zhifang Catchment (Ansai District) through DEM processing using the multiple-flow-direction (MFD) algorithm. Subsequently, active erosion sites were detected through ensemble empirical mode decomposition (EEMD) combined with Hilbert-Huang Transform (HHT) spectral analysis. …”
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A topological approach to positron emission particle tracking for finding multiple particles in high noise environments by Jack A. Sykes, Andrei L. Nicuşan, Dominik Werner, Matthew T. Herald, Daniel Weston, Tzany Kokalova Wheldon, Christopher R. K. Windows-Yule

“…This paper introduces T-PEPT, a novel algorithm that leverages topological data analysis-a relatively new field of applied mathematics that explores the underlying ’shape’ of data through techniques like persistence homology. …”
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An enhanced protection scheme for power transformers integrating alpha plane analysis by Ahmed S. Sayed, Ehab M. Nabil, Almoataz Y. Abdelaziz, Mohit Bajaj, Ievgen Zaitsev

“…This entails redefining AP restraint and operating zones based on transformer current behavior under various operating and fault conditions, in addition to introducing a novel algorithm utilizing a new mathematical approach to compute the alpha-plane complex ratio. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…Therefore, a novel load estimation method for RC beams, based on correlation analysis between detected crack images and strain contour plots calculated by FEM, is proposed. …”
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Keyframes Global Map Establishing Method for Robot Localization through Content-Based Image Matching by Tianyang Cao, Haoyuan Cai, Dongming Fang, Hui Huang, Chang Liu

“…Self-localization and mapping are important for indoor mobile robot. We report a robust algorithm for map building and subsequent localization especially suited for indoor floor-cleaning robots. …”
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Asymmetric metasurface photodetectors for single-shot quantitative phase imaging by Liu Jianing, Wang Hao, Li Yuyu, Tian Lei, Paiella Roberto

“…The measurement results, combined with computational imaging calculations, are then used to show that a standard camera or microscope based on these metasurface pixels can directly visualize phase objects without any additional optical elements, with state-of-the-art minimum detectable phase contrasts below 10 mrad. Furthermore, the combination of sensors with equal and opposite angular response on the same pixel array can be used to perform quantitative phase imaging in a single shot, with a customized reconstruction algorithm which is also developed in this work. …”
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Process optimization and flavor composition analysis of tea-flavor distilled liquor by WANG Jiangbo, XIA Xiao, MAO Chunkui, CHEN Jiahao, HE Chao, CAI Fengjiao, ZHANG Ruijing, XU Jian

“…A total of 31 volatile flavor compounds were detected based on GC-MS, including 5 alcohols, 16 esters, 5 aldehydes and 5 others. …”
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Digitization of Architectural Heritage Objects Using Photogrammetry: Sumy Region Case Study by Ihor Tytarenko, José Machado, Ivan Pavlenko

“…Next, changes in relief, cartographic deformations, and spatial dynamics of the terrain were studied. The developed algorithm for overlaying maps with different degrees of accuracy (satellite images, orthophotomaps, etc.) ensured designing reliable digital fundamentals for further 3D reconstruction of destroyed objects. …”
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Association between neutrophil percentage to albumin ratio and cardiovascular disease in the metabolic syndrome population by Chengjun Li, Hongrui Lu, Haorui Chu, Wei Peng, Meiling Xu

“…The potential nonlinearity was investigated by a restricted cubic spline. After detecting the nonlinearity, recursive algorithms were utilized to calculate the inflection point and effects before and after the point. …”
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