PROSPECT-DP: A coupled leaf optical properties model for improving leaf spectra simulation in the red-edge domain by excluding the ChlF effect by Shanshan Du, Dianrun Zhao, LinLin Guan, Mengjia Qi, Xinjie Liu, Liangyun Liu

“…A new leaf spectra dataset without ChlF contributions, including reflectance and transmittance data for 849 leaves, was first measured and replace the existing leaf spectra datasets in the modelling process. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…This strategy has a lot of potential to improve FL across a range of applications, especially those that prioritize data privacy, diversity, and performance.…”
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Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose by Qiong Zou, Borui Chen, Yang Zhang, Xi Wu, Yi Wan, Changsheng Chen

“…Conclusions The LMENN model built by integrating LME and BPNN has several potential applications in analysing longitudinal FPG monitoring data. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…Initially, the technical framework for targeted pedestrian tracking is established. Video data is recorded from selected angles based on spatial conditions, ensuring adequate representation of spatial-temporal dynamics. …”
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Discovery of Small-scale Flows in the Void of a Coronal Mass Ejection with High-cadence Images Acquired by the Metis Coronagraph on Board Solar Orbiter by Alessandro Bemporad, Lucia Abbo, Kinga Albert, Emanuele Amato, Vincenzo Andretta, Ruggero Biondo, Aleksandr Burtovoi, Daniele Calchetti, Vania Da Deppo, Yara De Leo, Silvano Fineschi, Federica Frassati, Catia Grimani, Giovanna Jerse, Federico Landini, Salvatore Mancuso, Giampiero Naletto, Gianalfredo Nicolini, Maurizio Pancrazzi, Julian Blanco Rodríguez, Marco Romoli, Giuliana Russano, Clementina Sasso, Daniele Spadaro, Marco Stangalini, Hanna Strecker, David Orozco Suárez, Roberto Susino, Luca Teriaca, Michela Uslenghi, Gherardo Valori

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Securing the IoT Landscape: A Comprehensive Review of Secure Systems in the Digital Era by Sri Ramya Siraparapu, S.M.A.K. Azad

“…In today's digital landscape, robust security measures are crucial to safeguard sensitive data and assets due to the world's growing interconnectedness. …”
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Estimation of snow load and avalanche hazard assessment in Southeastern Afghanistan through remote sensing techniques by Nazir Khan Mohammadi, Mohammad Gul Arabzai, Zikui Wang

“…The findings underscore the necessity for region-specific modeling strategies and enhanced data collection methods to tackle the challenges presented by climatic variability. …”
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Energy Consumption Analysis of 5G C-V2X Sensor Sharing for Tele-Operated Driving by Hanyoung Park, Yongjae Jang, Kanghyun Ko, Ji-Woong Choi

“…However, most research has not focused on high-volume data transmission, which is required for sensor sharing systems. …”
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Advanced predictive machine and deep learning models for round-ended CFST column by Feng Shen, Ishan Jha, Haytham F. Isleem, Walaa J.K. Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…The primary objective of this study is to develop accurate, data-driven approaches for predicting the axial load-carrying capacity (P cc​) of these columns and to benchmark their performance against existing analytical solutions. …”
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Automated System for OEE Management in the Industrial Sector by Diego Gomez, Sofia Pantoja, Enoc Acosta, David Arrieta, Sebastián Gutiérrez

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The ESTPHAD Concept: An Optimised Set of Simplified Equations to Estimate the Equilibrium Liquidus and Solidus Temperatures, Partition Ratios, and Liquidus Slopes for Quick Access... by Gergely Kőrösy, András Roósz, Tamás Mende

“…The application of each level of the developed four-level procedure depends on the data available and the aim. …”
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Emerging lessons from experiences at transitions in care among hospitalised patients with cancer with postdischarge frequent emergency department use: a qualitative study using lin... by Robyn Tamblyn, Siyana Kurteva, Nabil Nassar

“…Application of our findings could assist in hospital discharge preparation and improvement in healthcare delivery and health outcomes.Trial registration number NCT01179867.…”
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Development and Prospect of Wind Power Intelligent Operation and Maintenance Technologies in the New Infrastructure Era by WANG Dian, WEN Kun, HU Kaikai, CHEN Yanan, CHEN Gang

“…Combined the current wide application of new infrastructure technologies such as big data, Internet of Things, 5G communication and artificial intelligence, this paper discusses the application prospects of new infrastructure technologies in the field of intelligent operation and maintenance of wind farms. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

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Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…Additionally, the study constructs a system architecture covering data layers, algorithm layers, and application layers, enabling real-time dynamic adjustment and visual traceability of teaching paths. …”
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Estimating Chlorophyll-<i>a</i> and Phycocyanin Concentrations in Inland Temperate Lakes across New York State Using Sentinel-2 Images: Application of Google Earth Engine for Effic... by Sara Akbarnejad Nesheli, Lindi J. Quackenbush, Lewis McCaffrey

“…Future work will focus on exploring alternative algorithms that can incorporate diverse data sources and lake characteristics, contributing to a deeper understanding of the relationship between remote sensing data and water quality parameters. …”
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New two parameter hybrid estimator for zero inflated negative binomial regression models by Fatimah A. Almulhim, M. Nagy, Ali T. Hammad, A. H. Mansi, Getachew Tekle Mekiso, M. M. Abd El-Raouf

“…Abstract The zero-inflated negative binomial regression (ZINBR) model is used for modeling count data that exhibit both overdispersion and zero-inflated counts. …”
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Essence of Internet Marketing strategies by T. D. Kolodnik

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Modélisation du changement d’échelles en télédétection par une méthode neuronale : application a l’étude de l’évolution de l’occupation hivernale des sols en Bretagne... by Thomas Houet, Laurence Hubert-Moy, Grégoire Mercier

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Essence of Internet Marketing strategies by T. D. Kolodnik

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