Distributed Low-Carbon Energy Management of Urban Campus for Renewable Energy Consumption by Kan Yu, Qiang Wei, Chuanzi Xu, Xinyu Xiang, Heyang Yu

“…Finally, simulation experiments are conducted based on actual data from a certain area in Hangzhou, China, and the results verify the effectiveness of the model.…”
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Enhancing model robustness to imbalanced species abundance distributions: Eliminating misclassified records via a model-agnostic approach, exemplified by tuna fisheries datasets by Zhexuan Li, Tianjiao Zhang, Liming Song

“…Accurate estimation of anomalies locations can enhance the predictive capacity of models. This study aims to propose an approach for precisely identifying and correcting anomalies within imbalanced species abundance data, thereby addressing the challenges posed by both anomalous and imbalanced species abundance distributions (SADs). …”
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A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments by José Otero, Ana Palacios, Rosario Suárez, Luis Junco, Inés Couso, Luciano Sánchez

“…When selecting relevant inputs in modeling problems with low quality data, the ranking of the most informative inputs is also uncertain. …”
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Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model by Yunyan Yang

“…These data indicate that low-carbon policies have a significant promoting effect on green finance. …”
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Assessing the reliability of species distribution models under changing environments: A case study on cetaceans in the North-East Atlantic by Rémi Pigeault, Matthieu Authier, Nadya C. Ramirez-Martinez, Auriane Virgili, Steve C.V. Geelhoed, Jan Haelters, Maite Louzao, Camilo Saaveedra, Anita Gilles

“…1. Species Distribution Models (SDMs) assume stable relationships between species and their environment from which predictions are made. …”
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A Model for Building Student Physical Health Information Management in a Big Data Environment by Yan Luo, Zhibin Nie

“…In view of the problem of low validity of students' physical health information assessment results and difficulty in timely improvement of physical health status, this article constructed a visual, real-time, and comprehensive student physical health IM model using big data. …”
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Predictions of Equatorial Vertical Plasma Drift Using TEC Data and a Neural Network Model by S. A. Reddy, X. Pi, C. Forsyth, A. Aruliah, A. Smith

“…To address daily prediction, the Vertical drIfts: Predicting Equatorial ionospheRic dynamics (VIPER) model has been developed. VIPER is a machine learning model that is trained on total electron content (TEC) data to predict low‐latitude vertical plasma drift observed by the C/NOFS mission across the period 2009–2015. …”
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Long-term planning of Low-Voltage networks using reference network Models: Slovenian use case by Klemen Knez, Leopold Herman, Marjan Ilkovski, Boštjan Blažič

“…Moreover, most research relies on synthetic network models rather than real-world distribution system operator (DSO) data, limiting practical applicability. …”
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Spatial co-distribution of tuberculosis prevalence and low BCG vaccination coverage in Ethiopia by Haileab Fekadu Wolde, Archie C. A. Clements, Beth Gilmour, Kefyalew Addis Alene

“…A Bayesian geostatistical model was built to identify the drivers for the spatial distribution of TB prevalence and low BCG vaccination coverage. …”
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Distributed Model Predictive Load Frequency Control for Virtual Power Plants with Novel Event-Based Low-Delay Technique Under Cloud-Edge-Terminal Framework by Kai Kang, Nian Shi, Si Cai, Liang Zhang, Xinan Shao, Haohao Cao, Mingjin Fei, Shisen Zhou, Xiongbo Wan

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Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions by Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo

“…Traditional 4-dimensional variational data assimilation methods have limitations due to the Gaussian distribution assumption of observation errors, and the gradient of the objective functional is vulnerable to observation noise and outliers. …”
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A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

“…Then, a geographic information‐based DPV power computation method is proposed to address the low quality of DPV data. Finally, a PV site meteorological information fusion method is developed using Long Short‐Term Memory (LSTM) networks, integrating NWP and site power data. …”
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Dubhe: A Reliable and Low-Latency Data Dissemination Mechanism for VANETs by Lifeng Zhang, Beihong Jin

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The Modelled Raindrop Size Distribution of Skudai, Peninsular Malaysia, Using Exponential and Lognormal Distributions by Mahadi Lawan Yakubu, Zulkifli Yusop, Fadhilah Yusof

“…The Kaplan-Meier method was used to test the aptness of the data to exponential and lognormal distributions, which were subsequently used to formulate the parameterisation of the distributions. …”
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Qualitative Precipitation Estimation from Satellite Data Based on Distributed Domain-Specific Architecture by Sethakarn Prongnuch, Theerayod Wiangtong, Suchada Sitjongsataporn

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A Neighborhood Approach for Using Remotely Sensed Data to Estimate Current Ranges for Conservation Assessments by Bethany A. Johnson, Gonzalo E. Pinilla‐Buitrago, Robert P. Anderson

“…ABSTRACT Species distribution modeling can be used to predict environmental suitability, and removing areas currently lacking appropriate vegetation can refine range estimates for conservation assessments. …”
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A low-complexity, energy-efficient data securing model for wireless sensor network based on linearly complex voice encryption mechanism of GSM technology by M Saud Khan, Noor M Khan, Ahmad Khan, Farhan Aadil, M Tahir, M Sardaraz

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Low-dose ionizing radiation and the exposure–lag response: protocol for a prospective cohort study on The Health Effects of Chongqing Occupational Radiation Workers by Xiao-Ling Qin, Qiang Huang, Han-Wen Zhang, Yi Zeng, Xian-Shu Lin, Xiao-Yuan Fan, Jun Diao, Cheng-Zhi Chen, Shu-Qun Cheng, Fang Yuan, Jun-Lin He, Wei Li, Yin-Yin Xia

“…Health examination outcomes and radiation dose monitoring data will be collected and analyzed using the distributed lag non-linear model (DLNM) combined with generalized additive model (GAM) or generalized linear model (GLM) to evaluate the exposure-lag response relationship.DiscussionOur study will enhance our understanding of the exposure-lag response association between occupational radiation exposure and the health of radiation workers based on DLNM.Clinical trial registrationChinese Clinical Trials Registry, ChiCTR2400081804.…”
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Double Layered Blockchain-based trust model for secure interest and data forwarding in Vehicular Information Centric Network by Sanjeev Kumar Mekala, Satish Anamalamudi, Anil Carie, Murali Krishna Enduri

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Low-acceleration Gravitational Anomaly from Bayesian 3D Modeling of Wide Binary Orbits: Methodology and Results with Gaia Data Release 3 by Kyu-Hyun Chae

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