Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines by Ruifeng Chen, Ke Zhang, Min Luo, Ye An, Lixiang Guo

“…The proposed model is applied to two distinct types of FOWTs under three sea states, and the results demonstrate its satisfactory accuracy, with an average correlation coefficient (CC) of 0.9962 and an average coefficient of determination (R²) of 0.9864. …”
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GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women by Li Yi, Jaime E. Hart, Grete Wilt, Cindy R. Hu, Marcia Pescador Jimenez, Pi-I Debby Lin, Esra Suel, Perry Hystad, Steve Hankey, Wenwen Zhang, Jorge E. Chavarro, Francine Laden, Peter James

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…We used convolutional neural network-based models pretrained on large-scale open-domain data to extract spatial features of CE images that were then used in a dense feed-forward neural network classifier. …”
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THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES by Windy Ayu Pratiwi, Anwar Fajar Rizki, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…Traditional methods like ARIMA (Autoregressive Integrated Moving Average) have been widely used for this purpose, particularly for their effectiveness in short-term stable data forecasting. …”
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MFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-Cancerous Lesions of the Cervix by Peng Chen, Fobao Liu, Jun Zhang, Bing Wang

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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Therefore, continuous improvements and refinements remain essential to ensure the acquisition of accurate and reliable particle state data. This study integrates deep learning networks with existing image processing techniques to enable more precise and comprehensive identification of suspended sediment particles. …”
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An Exploratory Application of Machine Learning Algorithms in Estimating Net Salaries in Romania by Adriana Aiftincăi

“…This study explores and illustrates the potential of machine learning techniques—Random Forest, XGBoost, and neural networks (MLP)—in estimating the average net salary in Romania based on macroeconomic indicators. …”
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Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

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Individual tree mortality: Risks of climate change in the eastern Brazilian Amazon region by Erica Karolina Barros de Oliveira, Alba Valéria Rezende, Leonidas Soares Murta Júnior, Lucas Mazzei, Renato Vinícius Oliveira Castro, Marcus Vinicio Neves D'Oliveira, Rafael Coll Delgado

“…Mortality data was correlated with the El Niño–Southern Oscillation (ENSO) and climate (Rainfall, Maximum, Minimum, and Average air temperature). …”
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GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

“…Additionally, the ASF-Gather and Distribute (ASF-GD) module optimizes the feature extraction component of the original YOLOv7 network, improving the model’s robustness and accuracy in complex scenarios. …”
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Increased consumption of cardiovascular drugs under volume-based procurement (VBP) policy: demand release or assessment inducing? by Ying Yang, Jieming Zhang, Yuanhui Duan, Lei Zhou, Sisheng Gan, Zongfu Mao, Shaotang Wu, Furong Wang

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Expectativas laborales de los estudiantes de licenciatura en Educación Física en México (Work expectations of physical education teacher education candidates in Mexico) by Ramón Alfonso González-Rivas, Gabriel Gastélum-Cuadras, María del Carmen Zueck-Enríquez, Oscar Núñez Enríquez, Ma. Concepción Soto Valenzuela

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Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions by Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan

“…Comparative analysis with four recurrent neural network (RNN) models demonstrates the superiority of the refined Transformer models over RNNs: iTransformer reduces mean absolute error (MAE) and root mean square error (RMSE) by 29.55% and 25.80% (latitude), 50.31% and 46.18% (longitude), 8.71% and 9.98% (pressure), and 8.68% and 9.45% (wind speed), while TVFormer achieves MAE and RMSE reductions of 13.98% and 13.84% (latitude), 39.11% and 38.02% (longitude), 13.69% and 14.02% (pressure), and 12.84% and 12.94% (wind speed) on average. …”
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Quantification of CO₂ hotspot emissions from OCO-3 SAM CO₂ satellite images using deep learning methods by J. Dumont Le Brazidec, J. Dumont Le Brazidec, P. Vanderbecken, A. Farchi, G. Broquet, G. Kuhlmann, M. Bocquet

“…We present an end-to-end convolutional neural network (CNN) approach, processing the satellite XCO<span class="inline-formula">₂</span> images to derive estimates of the power plant emissions, that is resilient to missing data in the images due to clouds or to the partial view of the plume owing to the limited extent of the satellite swath.…”
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Incidence trends of non-Hodgkin lymphoma in children in the United States from 2000 to 2020 by Seyed Ehsan Mousavi, Kimia Motlagh Asghari, Armin Aslani, Farzin Tahmasbi Arashlow, Zahra Yekta, Seyed Aria Nejadghaderi

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VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

“…PLSR analysis of raw data yielded a maximum R² value of 0.98 for red pepper pH, while the lowest R² (0.58) was observed for total phenols in yellow peppers. …”
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Current approaches to modeling of epidemic process of non-polio Enterovirus infections by M. V. Novoselova, N. Yu. Potseluev, E. B. Brusina

“…Notably, standard mathematical models failed to provide an objective analysis of the incidence trend. Autocorrelation analysis found the summer-autumn seasonality (August-October) by evaluating the ratio of actual data to 12-month rolling averages. …”
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Comparison of Deep Learning and Gradient Boosting: ANN Versus XGBoost for Climate‐Based Dengue Prediction in Bangladesh by Arman Hossain Chowdhury

“…Exploratory data analysis, as well as ANN and XGBoost models, were performed to analyze the data. …”
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Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study by Mini Han Wang, Yi Pan, Xudong Jiang, Zhiyuan Lin, Haoyang Liu, Yunxiao Liu, Jiazheng Cui, Jiaxiang Tan, Chengqi Gong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Moawiya Haddad, Marion Schindler, José Lopes Camilo Da Costa Alves, Junbin Fang, Xiangrong Yu, Kelvin Kam‐Lung Chong

“…Additionally, back propagation neural networks (BPNN) and universal network for image segmentation (U‐Net) were employed for image classification and segmentation of meibomian gland images to predict Demodex mite infections. …”
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The Effect of Nestle Product Bundling Sales Accompanied with Discounts and Gifts on the Increase in the Number of SKUs Sold in the Sales Area of PT Anugerah Bina Usaha Nusantara La... by Raissa Kurnia Adha, Albari Albari

“… This study aims to determine the effectiveness of Nestle's product bundling strategy, accompanied by discounts and prizes in increasing SKU (Stock Keeping Unit) sales at PT Anugerah Bina Usaha Nusantara in the General Trade and Alternative Trade distribution networks. The research method used in this study is qualitative with narrative analysis based on in-depth interview data with several related salesmen and SKU sales data before and after the implementation of the strategy. …”
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