Power Quality Disturbance Classification Method Based on Unscented Kalman Filter and Kernel Extreme Learning Machine by Yanjun Jiao, Haoyu Cao, Linke Wang, Jiahui Wei, Yansong Zhu, Hucheng He

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ＲGB-DSLAM Visual Odometry Optimization Algorithm by DONG Jing-wei, JIANG Yi-ming, HAN Zhi-yu

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A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images by Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash

“…The process leverages the FBL method to automatically extract control points between the fixed and moving images. …”
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The development of CC-TF-BiGRU model for enhancing accuracy in photovoltaic power forecasting by Guomin Xie, Zijian Zhang, Zhongbao Lin, Sen Xie

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Psychrotrophic bacteria and their negative effects on milk and dairy products quality by Šimun Zamberlin, Dubravka Samaržija, Tomislav Pogačić

“…The characteristics of bacterial populations in raw milk at the time of processing has a significant influence on shelf-life, organoleptic quality, spoilage and yields of raw milk, processed milk as well as on the other dairy products. …”
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Morphology and Depositional Processes of a Carbonate-Filled Canyon in the Carboniferous KT-II Formation of the Eastern Precaspian Basin, Kazakhstan: Insight from 3D Seismic Data by Jiapeng Wu, Xiaodong Cheng, Shanbo Sheng, Leyuan Fan, Kai Guo, Xining Li, Wan Diao, Unmei Tai, Shutang Jin, Shengbin Zhang, Xinxin Song

“…Tectonics controlled the orientation and formation of the canyon, while sedimentary processes contributed to its infilling. …”
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Morphosyntactic production and processing skills in relation to age effects and lexical-phonological levels among children with cochlear implants and typically hearing peers: a foc... by Sophie Fagniart, Sophie Fagniart, Brigitte Charlier, Brigitte Charlier, Véronique Delvaux, Véronique Delvaux, Véronique Delvaux, Bernard Georges Harmegnies, Bernard Georges Harmegnies, Bernard Georges Harmegnies, Anne Huberlant, Myriam Piccaluga, Myriam Piccaluga, Kathy Huet, Kathy Huet

“…In this context, the present study focuses on the morphophonemic processing of items distinguished by nasal and oral vowels in the French language – the feature of vowel nasality being known as challenging for the CI population. …”
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Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

“…Gully erosion, as a significant natural process in geomorphological evolution, poses serious threats to natural environments and socio-economic stability. …”
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Structural brain basis of latent factors of executive functions in childhood by Yongjing Li, Keertana Ganesan, Claire R. Smid, Abigail Thompson, Roser Cañigueral, Jessica Royer, Boris Bernhardt, Nikolaus Steinbeis

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Machine learning-based aftershock seismicity of the 2015 Gorkha earthquake controlled by flat-ramp geometry and a tear faultKey points by Yeyang Kuang, Jiangtao Li

“…The Main Himalayan Thrust (MHT), where the 2015 MW7.8 Gorkha earthquake occurred, features the most seismicity of any structure in Nepal. …”
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FY-3C/VIRR Sea Surface Temperature Products and Quality Validation by Wang Sujuan, Cui Peng, Zhang Peng, Yang Zhongdong, Hu Xiuqing, Ran Maonong, Liu Jian, Lin Manyun, Qiu Hong

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Enhanced Cloud Detection Using a Unified Multimodal Data Fusion Approach in Remote Images by Yan Mo, Puhui Chen, Wanting Zhou, Wei Chen

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Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings by Daniel Asuquo, Kingsley Attai, Okure Obot, Moses Ekpenyong, Christie Akwaowo, Kiirya Arnold, Faith-Michael Uzoka

“…Encryption, access control, and multi-factor authentication were some of the security and privacy considerations in the app which gained acceptance from medical experts and adapted to regulatory and ethical policies for smart healthcare systems.…”
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The effects of ozone pretreatment on the physicochemical, functional, bioactive, textural, and sensory properties of medicinal plants: A comprehensive review by Zahra Shafiee, Bahram Hosseinzadeh Samani

“…Methods: As an emerging processing technology, ozone pretreatment objectives combine some selected features with low molecular weight functional components and bioactive properties of medicinal plants. …”
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Solid Oxide Fuel Cell Voltage Prediction by a Data-Driven Approach by Hristo Ivanov Beloev, Stanislav Radikovich Saitov, Antonina Andreevna Filimonova, Natalia Dmitrievna Chichirova, Egor Sergeevich Mayorov, Oleg Evgenievich Babikov, Iliya Krastev Iliev

“…These models are based on complex physicochemical and electrochemical reactions, enabling accurate simulation and optimal control of fuel cells. However, these models require substantial computational resources, leading to high processing times. …”
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Research on Rapid and Non-Destructive Detection of Coffee Powder Adulteration Based on Portable Near-Infrared Spectroscopy Technology by Fujie Zhang, Xiaoning Yu, Lixia Li, Wanxia Song, Defeng Dong, Xiaoxian Yue, Shenao Chen, Qingyu Zeng

“…Through the feature wavelength selection method, it can effectively identify and extract spectral features associated with these food components (such as fat, protein, or characteristic compounds), thereby improving the accuracy and efficiency of detection, further ensuring food safety and enhancing the level of food quality control.…”
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Guillain–Barré Syndrome During the Outbreak of Omicron in Southern China: A Multicenter Case-Control Study by Gui M, Fu P, Luo L, Liu Q, Chen J, Han Z, Chang L, Chen H, Gong D, Chen J, Liu Y, Zhang R, Zhang M, Xiang M, Yang X, Lin J, Bu B, Li Z

“…This multicenter case-control study investigated the clinical features of GBS during this period.Methods: The clinical characteristics of patients diagnosed with GBS associated with SARS-CoV-2 were assessed during an Omicron outbreak at 14 referral hospitals in Hubei Province, Southern China. …”
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Moving Target Recognition Based on HSV Color Space by FU Changfei, YE Bin, LI Huijun

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Comparison metrics and power trade-offs for BCI motor decoding circuit design by Joe Saad, Adrian Evans, Ilan Jaoui, Victor Roux-Sibillon, Emmanuel Hardy, Lorena Anghel

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Influence of cognitive networks and task performance on fMRI-based state classification using DNN models by Murat Kucukosmanoglu, Javier O. Garcia, Justin Brooks, Kanika Bansal

“…Despite the architectural differences, both models demonstrated a robust relationship between prediction accuracy and individual cognitive performance (p < 0.05 for 1D-CNN, and p < 0.001 for BiLSTM), with lower classification accuracy observed in individuals with poorer task performance. Feature importance analysis highlighted the dominance of visual networks, suggesting that task-driven state differences are primarily encoded in visual processing. …”
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