Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features by Yuchen Wang, Jianliang Wang, Jiayue Li, Jiacheng Wang, Hanzeyu Xu, Tao Liu, Juan Wang

“…By extracting vegetation indices, image coverage, and texture features and integrating them with ground-truth data, the study examines the variation in LWC estimation accuracy across different growth stages. …”
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YOLO-SBA: A Multi-Scale and Complex Background Aware Framework for Remote Sensing Target Detection by Yifei Yuan, Yingmei Wei, Xiaoyan Zhou, Yanming Guo, Jiangming Chen, Tingshuai Jiang

“…Our proposed YOLO-SBA first processes the input through the Multi-Branch Attention Feature Fusion Module (MBAFF) to extract global contextual dependencies and local detail features. It then integrates these features using the Bilateral Attention Feature Mixer (BAFM) for efficient fusion, enhancing the saliency of multi-scale target features to tackle target scale variations. …”
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Bee Bread Drying Process Intensification in Combs Using Solar Energy by Daulet Toibazar, Baydaulet Urmashev, Aliya Tursynzhanova, Vladimir Nekrashevich, Indira Daurenova, Adilkhan Niyazbayev, Kanat Khazimov, Francesco Pegna, Marat Khazimov

“…The research methodology integrates both numerical simulation and experimental investigation. …”
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Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction by Wenxu Lv, Yancang Wang, Huiqiong Cao, Peng Cheng, Xiaohe Gu, Zhuoran Ma, Mengjie Li, Ruiyin Tang, Qichao Zhao, Xuqing Li, Lan Zhang, Shuaifei Liu

“…However, the stability of models in different periods—such as those affected by seasonal variations and environmental condition changes—is the key factor affecting their application. …”
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Evaluating the Environmental Impact: A Multisensor Remote Sensing Approach for Spatial and Temporal Analysis by Bin Zhu, Ahsen Maqsoom, Lapyote Prasittisopin, Chaudhary Danyal Aslam, Umer Khalil, Sahar Zia, Niamat Ullah, M. Abdullah-Al-Wadud, Nazih Yacer Rebouh

“…This study's method for quantifying highway system disturbances' spatial and temporal changes and subsequent recovery can be easily extended to different geographical areas.…”
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CMC/SA/CB/CNT/thermally exfoliated-MXene five-component sponge-structured sensing materials and their enhanced sensitivity and stability by Yanzhi Cai, Zixuan Yu, Laifei Cheng, Yibing Yuan, Xue Huang, Mingxing Chen, Yalong Chai, Shaoxiong Ren, Yuan Zhou

“…This study introduces a one-step integral assembly method to create a carboxymethyl cellulose/sodium alginate/carbon black/carbon nanotubes/thermally-treated MXene five-component sponge-structured piezoresistive composite (CMC/SA/CB/CNT/T-MXene sponge, CSCCMT sponge). …”
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Research on Spatial Distribution, Accessibility and Resource Equity of Compulsory Education Schools in Megacities: A Case Study of Wuhan by Wei Ping, Huang Jing, Yan Jiaqin, He Sanwei

“…This study uses Wuhan, a central Chinese megacity, as a case. Integrating Point of Interest data of primary and secondary schools, educational resources, road network information, this study uses GIS methodologies, such as the nearest neighbor index, coefficient of variation, kernel density analysis, service area network analysis, and an improved 2SFCA method to evaluate the spatial distribution characteristics of compulsory education resources in Wuhan and the accessibility and resource distribution equilibrium across districts. …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…The proposed framework integrates Quantum-Inspired Evolutionary Algorithms (QIEAs), which facilitate diverse and explorative solution generation, with a Reinforcement Learning (RL)-based hyperheuristic capable of dynamically selecting the most suitable low-level heuristic in response to evolving disaster conditions. …”
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Simulation study of heat transfer behaviour of turbulent two-phase flow in a 3D cubic shell and tube heat exchanger using water and different nanofluids by Ali Khaleel Kareem, Athraa Hameed Alabbasi, Ali M. Mohsen

“…It investigates parameters like nanofluid variations, nanoparticle dimensions, and volume ratios to enhance the efficiency of temperature exchange between the shell and tube fluids. …”
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Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller by Sarah Adnan Albarri, Ahmed Khalil, Shayok Mukhopadhyay, Habibur Rehman

“…However, under external disturbances and parameters variation, the speed regulator performance may degrade. …”
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Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations by Meilin He, Tao Chen, Yuanjin Pan, Jiashuang Jiao, Qiwen Wu, Yifei Lv, Weiping Jiang

“…Abstract The Tibetan Plateau (TP), characterized by its unique regional features and geographical landscape, is a critical area for studying changes in terrestrial water storage (TWS), which are significantly influenced by global warming. In this study, we integrate data from the Global Navigation Satellite System (GNSS) and the Gravity Recovery and Climate Experiment (GRACE) to jointly estimate TWS variations in the TP and examine their spatiotemporal fluctuations in relation to large-scale climate patterns. …”
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A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks by Lukas Fichtl, Daniel Leitner, Andrea Schnepf, Dominik Schmidt, Katrin Kahlen, Matthias Friedel

“…We validated the precision of the digitization method, compared in situ and ex situ digitization, and assessed root loss during excavation. …”
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Numerical study of thermohydraulics induced by highly under-expanded jet during in-vessel LOCA for the CFETR WCCB concept by Jinghua Jiang, Jun He, Tianyu Chen, Lili Tong, Xuewu Cao, Songlin Liu

“…Comparisons of temperature and pressure variations at different monitoring points reveal that if the bursting valve is positioned at the furthest location, the pressure at the jet impingement surface may reach the VV’s pressure limit before the VV Pressure Suppression System is activated, as determined using the lumped-parameter analysis method. …”
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Calibration of DEM Parameters and Microscopic Deformation Characteristics During Compression Process of Lateritic Soil with Different Moisture Contents by Chao Ji, Wanru Liu, Yiguo Deng, Yeqin Wang, Peimin Chen, Bo Yan

“…This study aims to calibrate and validate discrete element method (DEM) models of lateritic soil at varying moisture contents of 20.51%, 22.39%, 24.53%, 26.28%, and 28.04% by integrating the Hertz–Mindlin contact mechanics with bonding and JKR cohesion models. …”
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Optimal DC-Link Voltage Mapping for SiC-Based EV Drives: Considering the Impact of a Synchronous Boost Converter by Sepideh Amirpour, Torbjorn Thiringer, Sima Soltanipour, Yu Xu

“…This involves a comprehensive analysis of power losses in a connected silicon carbide (SiC)-based converter-inverter system, incorporating temperature variations, alongside a finite element method (FEM) analysis of losses in an Interior Permanent Magnet (IPM) synchronous machine, accounting for variable DC-link voltages. …”
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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…Our method integrates color and depth data using deep convolutional neural networks with a late feature fusion scheme. …”
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A Trimming Strategy for Mass Defects in Hemispherical Resonators Based on Multi-Harmonic Analysis by Yimo Chen, Fanrui Kong, Kai Zeng, Xiang Xi, Yan Shi, Dingbang Xiao, Xuezhong Wu

“…By integrating a rectangular pulse function into the mass distribution function to simulate etching grooves, spectral analysis revealed that groove depth and width determine the amplitude and gradient of introduced harmonics. …”
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On the inaccuracies of dental radiometers. by Adrian C Shortall, Mohammed A Hadis, William M Palin

“…Individual LCU irradiance values were normalized against IS data. The GS method yielded reproducible data with a 0.4% pooled coefficient of variation for the LCUs. …”
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Research on the surface water quality in the Huaihe River Basin and the gensis based on multivariate statistical analysis by Shuzhen Feng, Chaokai Zhang, Jiaheng Yan, Ke Ren, Ningbo Peng, Wei Jiang, Shouhua Liu

“…This study explored the latest spatial variation patterns of surface water quality in the HRB to cope with the increasingly severe challenges of water resource management. …”
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The Diversity, Richness, and Potential Health and Ecological Role of the Fungal Aerosols in Attica, Greece by Angelina Metaxatos, Dafni Georgiadou, Dimitris Hatzinikolaou, Gediminas Mainelis

“…Given the scarcity and discontinuity of data on aerial mycobiome, we aimed to investigate the diversity, concentration, and variation of aerial fungal community in Attica, Greece. …”
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