Prediction of Temperature Distribution with Deep Learning Approaches for SM1 Flame Configuration by Gökhan Deveci, Özgün Yücel, Ali Bahadır Olcay

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Association between air pollutant exposure, body water distribution and sleep disorder indices in individuals with low-arousal-threshold obstructive sleep apnoea by Ming Liu, Kang-Yun Lee, Cheng-Yu Tsai, Yi-Chun Kuan, Wen-Te Liu, Jiunn-Horng Kang, Hsin-Chien Lee, Cheng-Jung Wu, Huei-Tyng Huang, Wen-Hua Hsu, Arnab Majumdar, Po-Hao Feng, Chien-Hua Tseng, Kuan-Yuan Chen

“…Air pollutant exposure at different time intervals (1, 3, 6 and 12 months) was estimated using the nearest station estimation method, and government air-quality data were also obtained. Regression models were used to assess the associations of estimated exposure, sleep disorder indices and body water distribution with the risk of low-ArTH OSA. …”
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Synthetic Data Generation Using Large Language Models: Advances in Text and Code by Mihai Nadas, Laura Diosan, Andreea Tomescu

“…This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. …”
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Development of a Data‐Driven Lightning Scheme for Implementation in Global Climate Models by Vincent Verjans, Christian L. E. Franzke

“…Using satellite lightning records spanning a period of 29 years, we apply machine learning methods to derive a functional relationship between lightning and climate reanalysis data. In particular, we design a tree‐based regression scheme, representing different lightning regimes with separate single hidden layer neural networks of low dimensionality. …”
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Virtual electromagnetic environment modeling based data augmentation for drone signal identification by Hanshuo Zhang, Tao Li, Yongzhao Li, Zhijin Wen

“…Therefore, we propose a virtual electromagnetic environment modeling based data augmentation (DA) method to improve the diversity of drone signal data. …”
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A distributed modeling approach to water balance implications from changing land cover dynamics in permafrost environments by Naveed Ahmed, Haishen Lu, Zhongbo Yu, Oluwafemi E. Adeyeri, Muhammad Shahid Iqbal, Jinbin Su

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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

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Digital streaming media distribution and transmission process optimisation based on adaptive recurrent neural network by Wenjing Shan

“…The adaptive recurrent neural network algorithm is used in the optimisation process of the distribution and transmission process. By simulating the real environment, it is verified that the model can improve the efficiency of distribution resources and reduce the access rejection rate and data jitter caused by interruption.…”
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High-Resolution Collaborative Forward-Looking Imaging Using Distributed MIMO Arrays by Shipei Shen, Xiaoli Niu, Jundong Guo, Zhaohui Zhang, Song Han

“…To address these issues, we propose a high-resolution imaging algorithm that combines an enhanced missing-data iterative adaptive approach with aperture interpolation technique (MIAA-AIT) for effective signal recovery in distributed arrays. …”
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Evaluation of overwintering risk of tropical and subtropical insect pests in temperate regions by Keiichiro Matsukura, Nobuo Mizutani, Sayumi Tanaka, Yoshiaki Tanaka

“…For S. frugiperda and C. bipunctata, but not for L. striatellus, the accuracy of the model in predicting the overwintering range was equivalent to, or better than, those of a conventional species distribution model. …”
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Comparative Analysis of MaxEnt and Deep Learning Approaches for Modeling Humpback Whale Distribution in North Iceland by Nils Barthel, Charla J. Basran, Marianne H. Rasmussen, Benjamin Burkhard

“…Search efforts and boat tracklines were utilized to create pseudo‐absence points for both models. Additionally, the trained models were used to create distribution projections for the year 2022, solely based on the available environmental data. …”
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Performance Analysis of Machine Learning Techniques for Server Health Monitoring Using Time Series Data Against DDOS Attacks by Sajja Ratan Kumar, Valli Kumari Vatsavayi

“…Once a DDoS attack is detected, the system moves to Stage II: Attack Severity Assessment, where a multiclass classification method categorizes the attack’s severity as low, moderate, or high. The gradient boosting classifier (GBC) emerged as the best-performing model in this stage, achieving an accuracy of 0.9994, AUC of 1, recall, precision, and F1 score of 0.9994 on the testing set. …”
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Modelling the Impact of Condom Distribution on the Incidence and Prevalence of Sexually Transmitted Infections in an Adult Male Prison System. by Nick Scott, Emma McBryde, Amy Kirwan, Mark Stoové

“…<h4>Methods</h4>Using data from an implementation evaluation of a state-wide prison condom program and parameter estimates from available literature, a deterministic model was developed to quantify the incidence and prevalence of sexually transmitted HIV, hepatitis B, chlamydia, syphilis and gonorrhoea across 14 Victorian prisons. …”
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Climate Change Impacts on the Potential Distribution of in South Korea under SSP Scenarios by Jaeho Lee, Sungsoo Yoon, Jaeseok Lee, Changwan Seo

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Risk stratification models in human papillomavirus-associated oropharyngeal squamous cell carcinoma: the Nova Scotia distribution by David Forner, Matthew H. Rigby, Derek Wilke, S. Mark Taylor, Nathan Lamond

“…This study aimed to quantify patient risk distribution using multiple published risk models and investigate the hypothesis that the local p16 + OSCC population includes a smaller proportion of low-risk patients due to a high prevalence of concurrent tobacco exposure. …”
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Predicting the Potential Distribution of Lagotis Medicinal Plants on the Qinghai‐Xizang Plateau, With a Maximum Entropy Model by Huiyuan Ma, Bo Wang, Xue Yang, Guoying Zhou

“…This study investigated and collected 769 site data of six species of Lagotis and 28 environmental factor data, and used the maximum entropy model (MaxEnt) to simulate the distribution of suitable areas under three climate scenarios (RCP2.6, RCP6.0, RCP8.5) in the 2050s and 2070s. …”
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Spatial-temporal Distribution of Carbon Storage in Qilian Mountain National Park Based on InVEST Model by Deng Zhe, Ding Wenguang, Pu Xiaoting, Lyu Yongjie, Wang Yali

“…Then, remote sensing image data of land use and carbon density were used as operating data in the carbon module of the InVEST model to calculate the change in carbon storage induced by land use change. …”
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Picturing Global Substorm Dynamics in the Magnetotail Using Low‐Altitude ELFIN Measurements and Data Mining‐Based Magnetic Field Reconstructions by Xiaofei Shi, Grant K. Stephens, Anton V. Artemyev, Mikhail I. Sitnov, Vassilis Angelopoulos

“…Presently, sparse in‐situ observations cannot resolve these distributions. A promising approach is to use new substorm magnetic field reconstruction methods based on data mining, termed SST19. …”
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Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis by Fatema Tuj Johora Faria, Laith H. Baniata, Sangwoo Kang

“…To further enhance our study, we consider the distribution of comments in different datasets and the challenge of class imbalance, which can affect model performance. …”
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Using correlative science, open access big data and ensemble machine learning to track contamination signals in the wild: A first landscape-scale prediction for the Himalayan vultu... by Dikpal Krishna Karmacharya, Ganesh Puri, Ganga Ram Regmi, Madan Krishna Suwal, Falk Huettmann

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