Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data by Omar Abdulmohsin Ali, Ali Hameed Yousef

“…Simulation experiments and real data applications show that the proposed LAD-Atan estimator has superior performance compared with other estimators.…”
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Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort by Aldo Marzullo, Victor Savevski, Maddalena Menini, Alessandro Schilirò, Gianluca Franchellucci, Arianna Dal Buono, Cristina Bezzio, Roberto Gabbiadini, Cesare Hassan, Alessandro Repici, Alessandro Armuzzi

“…These challenges are also reflected in the development of machine-learning applications, where inconsistencies in data quality, missing information, and variability in data formats can adversely affect the performance and generalizability of models. …”
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Fast Long-Range Photon Counting Depth Imaging With Sparse Single-Photon Data by Yan Kang, Lifei Li, Dawei Liu, Dongjian Li, Tongyi Zhang, Wei Zhao

“…This depth imaging system is a low-light-level device for a variety of applications, such as target detection, space surveillance, and distance measurement.…”
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Multisensor Data Fusion for Quantifying Agricultural Fire Impacts on Air Quality and Environmental Degradation by Pu Bu, Rana Waqar Aslam, Abdul Quddoos, Nazih Y. Rebouh, Muhammad Nasar Ahmad, Rana Muhammad Zulqarnain, Qaiser Abbas, Yahia Said

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Electrical Model Analysis for Bifacial PV Modules Using Real Performance Data in Laboratory by Valentina González Becerra, Patricio Valdivia-Lefort, Rodrigo Barraza, Jesús García García

“…This framework aims to establish a common basis for comparison and verify the applicability of each model by contrasting it with experimental data under controlled conditions of irradiance and temperature. …”
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Fruit-Fly-Optimized Weighted Averaging Algorithm for Data Fusion in MEMS IMU Array by Ting Zhu, Gao Peng, Jianping Li, Jiawei Xuan, Jingbei Tian

“…In this study, an optimal weighted averaging algorithm based on the fruit fly optimization algorithm (FOA) is proposed by analyzing the data fusion mechanism of the MEMS IMU array. Firstly, a measurement model for the MEMS IMU array is constructed, and the principles of data fusion are systematically investigated. …”
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Deep learning for single-site solar irradiance forecasting using multi-station data by Daniel Guatibonza, Gabriel Narvaez, Luis Felipe Giraldo

“…The research addresses an important gap: the statistical evaluation of the contribution of neighboring data to improving forecast accuracy in solar PV applications. …”
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Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making by Gaftandzhieva Silvia N., Doneva Rositsa Zh., Bliznakov Milen P.

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Research on an Aerial Docking Strategy for Meta-UAVs Using Aerodynamic Data Surrogate Models by Kangwen Sun, Yixiang Gao, Zhiyao Wang, Haoquan Liang, Chenxuan Zhao, Xinzhe Ji

“…Meta-aircraft, in High-Altitude, Long-Endurance (HALE) unmanned aerial vehicle (UAV) applications, utilize a strategy of formation flying in the stratosphere and aerial docking in the troposphere to enhance flight range and gust resistance. …”
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Nitrogen content estimation of apple trees based on simulated satellite remote sensing data by Meixuan Li, Xicun Zhu, Xicun Zhu, Xinyang Yu, Cheng Li, Dongyun Xu, Ling Wang, Dong Lv, Yuyang Ma

“…However, due to differences in spatial resolution and spectral response, there is a lack of systematic evaluation of satellite data's applicability and accuracy in apple tree nitrogen inversion.MethodsThis study used apple orchards in Qixia City, Shandong Province as the research area, collecting canopy hyperspectral data through an ASD spectrometer during three key phenological periods: the new-shoot-growing stage (NGS), the new-shoot-stop-growing stage (NSS), and the autumn shoot-growing stage (ASS). …”
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Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods by Alireza Taherzadeh-Fard, Alejandro Cornejo, Sergio Jiménez, Lucia G. Barbu

“…The simulation of damage in composite materials is an important research area that impacts different engineering applications from aerospace structures to renewable energy systems. …”
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Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology by Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

“…This paper presents a multi-source data-driven hybrid path planning framework that integrates global A* search with local Deep Q-Network (DQN) optimization to address complex terrestrial routing challenges. …”
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Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning by Caleb Harrison, Phadungsak Tubuntoeng, Xudong Liu

“…Solar energy production using photovoltaic (PV) systems is increasingly popular as a source of renewable energy for numerous applications. However, there is a main challenge with solar energy, namely, the unpredictability of its energy output. …”
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Synthetic Image Data Generation for Wiring Harness Component Detection Using Machine Learning by Huong Giang Nguyen, Patrick Bründl, Jörg Franke

“…In addition, manufacturing applications require a domain-specific dataset. Thus, we generated and integrated synthetic data for object detection using convolutional neural networks, specifically for wiring harness component detection. …”
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Mathematical Model of Data Processing in a Personalized Search Recommendation System for Digital Collections by Serhii Semenov, Wojciech Baran, Magdalena Andrzejewska, Maxim Pochebut, Inna Petrovska, Oksana Sitnikova, Marharyta Melnyk, Anastasiya Mekhovykh

“…This provides a quantitative basis for optimizing recommendation system design and highlights the applicability of GERT-based modeling to intelligent data-driven services in the cultural domain.…”
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FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review by Abdulmajeed Adil Yazdeen, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Omar M. Ahmed, Rizgar R. Zebari

“… In recent days, increasing numbers of Internet and wireless network users have helped accelerate the need for encryption mechanisms and devices to protect user data sharing across an unsecured network. Data security, integrity, and verification may be used due to these features. …”
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Data Spaces in Manufacturing and Supply Chains: A Review and Insights from European Initiatives by Matteo Gabellini, Lorenzo Civolani, Michele Ronchi, Ludovica Diletta Naldi, Alberto Regattieri

“…Data spaces are increasingly recognized as a key enabler of secure, sovereign, and interoperable data exchange across manufacturing and supply chain networks. …”
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Generating unseen diseases patient data using ontology enhanced generative adversarial networks by Chang Sun, Michel Dumontier

“…This innovative approach addresses the scarcity of data for rare diseases, offering valuable applications in data augmentation, hypothesis generation, and preclinical validation of clinical models.…”
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Artificial intelligence can recognize metallic glasses in vast compositional space with sparse data by Weijie Xie, Yitao Sun, Chao Wang, Mingxing Li, Fucheng Li, Yanhui Liu

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Automatic extraction and geographization of urban traffic event based on natural Chinese text data by Chenyu Hu, Hangbin Wu, Chaoxu Wei, Qianqian Chen, Han Yue, Wei Huang, Chun Liu, Ting Fu, Junhua Wang

“…Information on real-time traffic events is necessary for many applications. With the rapid advancement of Internet, text published from network platforms has become an important data source for urban road traffic events. …”
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