Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency by Elise N. Grover, Andrew C. Hill, Irina M. Kasarskis, Emma J. Wu, Nisha B. Alden, Alicia B. Cronquist, Kirsten Weisbeck, Rachel Herlihy, Elizabeth J. Carlton

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Near-Infrared Hyperspectral Target Tracking Based on Background Information and Spectral Position Prediction by Li Wu, Mengyuan Wang, Weixiang Zhong, Kunpeng Huang, Wenhao Jiang, Jia Li, Dong Zhao

“…Meanwhile, for visible spectrum (VIS) data analysis, the architecture maintains competitive effectiveness with a 59.6% success rate and 78.8% precision.…”
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Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis by Chao Tan, Hao Liu, Zhen Zhang, Xinyu Liu, Yinquan Ai, Xiumin Wu, Enlin Jian, Yongyan Song, Jin Yang

“…Bibliometric tools including CiteSpace 6.4.R1, VOSviewer 1.6.18, Scimago Graphica, and the R package bibliometrix were used to extract and visualize key bibliometric indicators. After data cleaning and de-duplication, analyses were conducted on keyword co-occurrence, citation networks, leading journals, influential authors, and institutional collaboration patterns to construct a comprehensive landscape of ML applications in proteomics.ResultsThe number of publications has grown exponentially since 2010, with an average annual growth rate of 12.53% and a notable surge of 65.14% occurring between 2019 and 2020. …”
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Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration by Xiangsheng HUANG, Chengfei LUO, Qun ZHANG, Jinding CHEN, Yaoyuan ZHANG, Xiaowen LIU

“…The findings indicated that: (1) A fixed scanning resolution is a key factor in ensuring data reliability, as it significantly affects the extraction of pore structure parameters and subsequent analysis. …”
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Andmepõhine vaade tärkavale eesti kirjakogukonnale 1800–1940. Rahvusbibliograafia, andmete rikastamine ja rahvakoolid by Peeter Tinits

“…This can be partly explained by differences in educational policy that led the Governorate of Estonia to fall behind in expanding its public school network. This article demonstrates how national bibliographic data can be used to study cultural history. …”
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Predicting Sugarcane Yield Through Temporal Analysis of Satellite Imagery During the Growth Phase by Julio Cezar Souza Vasconcelos, Caio Simplicio Arantes, Eduardo Antonio Speranza, João Francisco Gonçalves Antunes, Luiz Antonio Falaguasta Barbosa, Geraldo Magela de Almeida Cançado

“…This research investigates how to estimate sugarcane (<i>Saccharum officinarum</i> L.) yield at harvest by using an average satellite image time-series collected during the growth phase. …”
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Improved cholera control in Kenya: A retrospective analysis of 2017–2019 in Nairobi and Homabay by Kyeng Mercy, Ganesh Pokhariyal, Noah T. Fongwen, Nicaise Ndembi, Lucy Kivuti-Bitok

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Application of machine learning in intelligent transport systems: a comprehensive review and bibliometric analysis by Mahbub Hassan, Abdullah Al Nafees, Saikat Sarkar Shraban, Arpita Paul, Hridoy Deb Mahin

“…The keyword analysis indicated that key research interests within ML applications in ITS focus on network and communication technologies, urban mobility and infrastructure, safety and efficiency enhancements, and emerging topics such as demand-responsive transport and integrated decision-making. …”
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Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance by Xueyuan Kang, Amalia Kokkinaki, Xiaoqing Shi, Jonghyun Lee, Zhilin Guo, Lingling Ni, Jichun Wu

“…To address these challenges, we propose a method based on a Bayesian Neural Network (BNN) which learns the non‐linear relationship between SZ metrics and mass discharge from multiphase‐modeling training data. …”
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Enhancing wheat flour origin traceability by using laser-induced breakdown spectroscopy and Raman spectroscopy by Minghui Gu, Chao Liu, Hansong Huang, Xin Zhang, Jiguo Li, Qingbin Jiao, Liang Xu, Mingyu Yang, Xin Tan

“…The results showed that the proposed method can enhance the ability of origin traceability, and high-level fusion strategies perform the best, achieving an average accuracy of 98%. The transfer model achieved a prediction accuracy of 97% on the remaining data, demonstrating the effectiveness of transfer learning.…”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…This study aimed to address these limitations by developing a robust framework that integrates improved data labeling strategies, optimized training methods, and a novel neural network architecture to achieve high-precision velocity estimation. …”
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Interaction and problems in the abaca industry in Region VIII, Philippines by Milagros C. Bales, Karen Luz P. Yap, Fatima T. Baliña, Leomarich F. Casinillo

“…Appropriate sampling methods were employed in determining the sample sizes of different players, and the research instrument used to determine the interaction process is a developed questionnaire that involved a Likert scale. The data were analyzed using statistical measures such as count and average mean and presented in tabular form and network analysis. …”
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Commercial banks performance, ownership types and operations efficiency decomposition in China: a comparative analysis by Chuanjin Zhu, Rui Wang

“…Then, the non-performing loans are used as a carry-over variable connecting two adjacent periods in the first stage, to establish a novel two-stage dynamic network structure. The dynamic data envelopment analysis with network structure methodology is used to decompose the efficiency of the operations into two constituent components to give internal explanations for the root causes of inefficiency. …”
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Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis by Yunhang Wang, Hongwei Wang, Ruoyang Bai, Yuxin Shi, Xicong Chen, Qingang Xu

“…Based on this, a recursive gated convolutional neural network (RGCNN) is designed to process the STFT image data, while a 1D convolutional neural network (1DCNN) is specifically optimized for training with time series data. …”
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Design and Economic Analysis of Marine Vessel PV Power System Based on Solar Radiation Estimation by Batuhan Tural, Onur Akar

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Analysis of Discipline, Effectiveness and Barriers to Online Learning During the Pandemic Reviewed From The Views of Students by Nanda Aulya, Nur Karmila, Rika Wulandari

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Computer vision-based road lane glass beads quality analysis system using ANN by Gi-sang Kang, Jong-Jae Lee, Jong Woo Kim, Seung Wan Seo, Hoki Ban

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Time series analysis of rubella incidence in Chongqing, China using SARIMA and BPNN mathematical models by Qi Chen, Han Zhao, Hongfang Qiu, Qiyin Wang, Dewei Zeng, Mengliang Ye

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Manually scoring actigraphy in the absence of a sleep diary: Reliability analysis in Gulf War veterans by Charity B. Breneman, Mary Katherine Howell, Nathaniel Allen, Elizabeth A. Klingaman, Matthew J. Reinhard

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Using Machine Learning for Analysis of Wideband Acoustic Immittance and Assessment of Middle Ear Function in Infants by Shan Peng, Yukun Zhao, Xinyi Yao, Huilin Yin, Bei Ma, Ke Liu, Gang Li, Yang Cao

“…However, current clinical practices often restrict WAI data analysis to peak information at specific frequencies, limiting its comprehensiveness. …”
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