High-Resolution, Low-Latency Multi-Satellite Precipitation Merging by Correcting with Weather Radar Network Data by Seungwoo Baek, Soorok Ryu, Choeng-Lyong Lee, Francisco J. Tapiador, Gyuwon Lee

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Encoding arbitrary phase profiles to 2D diffraction orders with controllable polarization states by Zhao Ruizhe, Li Xin, Geng Guangzhou, Li Xiaowei, Li Junjie, Wang Yongtian, Huang Lingling

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Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination by Xu Ma, Dong Wang, Angela Cuadros, Tianyi Mao, Qile Zhao, Gonzalo R. Arce, Tingfa Xu

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AI-Driven Optimization of Multilayer Thin-Film Structures for Advanced Optical Applications by Emad Alkhazraji, Sani Mukhtar, Haitham Khaled, Jaime Viegas

“…The FCNN model is trained to predict reflectance spectra with high accuracy over a wide design space defined by the thicknesses of individual layers. …”
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Increasing the noise immunity of radio receiving paths with automatic sensitivity control by Р. V. Zayats, I. Y. Malevich

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Gaussian Process Regression-Based Fixed-Time Trajectory Tracking Control for Uncertain Euler–Lagrange Systems by Tong Li, Tianqi Chen, Liang Sun

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Development of a prognostic model for chemotherapy response and identification of TNFAIP2 as a target in colorectal cancer by Cheng Zhou, Chuan-Hai Xu, Min Xu, Xin-Kun Huang, Bin Zhu

“…Abstract Oxaliplatin, a key chemotherapeutic agent, often induces resistance in colorectal cancer (CRC) treatment, highlighting the urgent need for reliable biomarkers to predict treatment efficacy. In this study, we aimed to identify key genes associated with oxaliplatin resistance in CRC and to evaluate their potential as prognostic biomarkers. …”
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Context-Driven Active Contour (CDAC): A Novel Medical Image Segmentation Method Based on Active Contour and Contextual Understanding by Suane Pires Pinheiro da Silva, Roberto Fernandes Ivo, Calleo Belo Barroso, João Carlos Nepomuceno Fernandes, Thiago Ferreira Portela, Aldísio Gonçalves Medeiros, Pedro Henrique F. de Sousa, Houbing Song, Pedro Pedrosa Rebouças Filho

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Enhanced Multiphase Interleaved Boost Converter Interface for Grid-Connected PV Power System by Rasha Kassem, Nagwa F. Ibrahim, Mohamed Metwally Mahmoud, Abdulaziz Alkuhayli, Usama Khaled, Abderrahmane Beroual, Hedra Mahfouz Ibrahim Saleeb

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An Energy-Efficient Motion Strategy for Mobile Sensors in Mixed Wireless Sensor Networks by Zhen-Jiang Zhang, Jun-Song Fu, Han-Chieh Chao

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Advancements in Underwater Optical Wireless Communication: Channel Modeling, PAPR Reduction, and Simulations With OFDM by Liwei Yang, Zeyang Bi, Xue Liang, Lihao Zhao, Jiade Zhang, Jingyi Peng

“…This work systematically evaluated and validated several optical attenuation models, leading to the development of an approach that significantly improves the accuracy of optical signal behavior prediction in underwater environments. The simulations using the Monte Carlo algorithm revealed critical insights into signal propagation, enabling more precise modeling of UOWC channels under varying conditions. …”
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Deep Learning-Based Atmospheric Visibility Detection by Yawei Qu, Yuxin Fang, Shengxuan Ji, Cheng Yuan, Hao Wu, Shengbo Zhu, Haoran Qin, Fan Que

“…This paper systematically reviews the applications of various deep learning models—Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and Transformer networks—in visibility estimation, prediction, and enhancement. Each model’s characteristics and application methods are discussed, highlighting the efficiency of CNNs in spatial feature extraction, RNNs in temporal tracking, GANs in image restoration, and Transformers in capturing long-range dependencies. …”
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Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic by Efraín Duarte, Erick Zagal, Juan A. Barrera, Francis Dube, Fabio Casco, Alexander J. Hernández

“…Model A reported the lowest prediction error and uncertainty with an R2 of 0.83, an RMSE of 35.02 Mg C ha−1. …”
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Statistical Analysis of High-Resolution Coherent Monopulse Radar Sea Clutter by Hong Zhu, Qingping Wang, Ning Tai, Jingjian Huang, Naichang Yuan

“…A statistical analysis that properly characterizes sea clutter processes is indispensable both for optimum detection algorithm design and for performance prediction problems in maritime surveillance applications. …”
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Relationship between multimorbidity and composite lifestyle status in Shenzhen, China by Hua-Lu Yang, Bei-Rong Mo, Alex Molassiotis, Mian Wang, Gui-Lan He, Yao Jie Xie

“…Multimorbidity was defined as two or more chronic diseases coexisting in a single person. An algorithm on body mass index, physical activity, drinking, smoking, and sleep quality was used to calculate lifestyle scores (0–9), with higher scores predicting a healthier lifestyle. …”
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Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization by Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li

“…The parameters of Kalman filter are adaptively optimized by QPSO, which addresses the issues of local optima and premature convergence during the optimization and correction process of prediction system. Then Kalman filter is carried out with the optimal parameters to achieve the effect of denoising. …”
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Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression by Sára Preiner, Bálint Levente Tarcsay, Dóra Pethő, Norbert Miskolczi

“…After optimization the established PLS model showed an R2 score above 0.95 for the prediction of hydrosol composition changes during cross-validation. …”
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Population-Level Cell Trajectory Inference Based on Gaussian Distributions by Xiang Chen, Yibing Ma, Yongle Shi, Yuhan Fu, Mengdi Nan, Qing Ren, Jie Gao

“…The simulation studies indicate that CPvGTI excels in pseudo-time prediction and structural reconstruction compared to existing methods. …”
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Robust integral sliding mode control for pressure management in multi-phase flow systems by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. Al-Dogail

“…The contributions of this research include the development of a data-driven system identification methodology using a single-input, single-output (SISO) Hammerstein model, enabling precise pressure prediction based on experimental data collected from the lab. …”
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SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

“…We conducted extensive experiment on real datasets, and the experimental results show that in 4 h prediction, the RMSE, MAE, and MAPE of our model are 1128.69, 803.91, and 2.63%, respectively. …”
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