Evaluating interannual variability in 1-month CFSv2 forecasts with different lead times at monthly and daily scales in South Korea by Subin Ha, Quan J Wang, Jina Hur, Eun-Soon Im

“…With regard to monthly ACCs, no significant patterns were observed for both temperature and precipitation. …”
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Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning by J. Sykes, J. Sykes, P. Haegeli, R. Atkins, P. Mair, Y. Bühler, Y. Bühler

“…The insights of our analysis provide a baseline for the development of effective decision support tools for backcountry avalanche risk management that can offer independent perspectives on operational terrain choices based on historic patterns or as a training tool for newer guides.</p>…”
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Application of machine learning techniques for churn prediction in the telecom business by Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil

“…Telecom managers and analysts investigate why customers cancel their subscriptions and analyze the behavior patterns of customers who have stopped using the services. …”
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Research on the Model of High-Speed Railway Station Security Resource Scheduling Based on Dynamic Passenger Flow Prediction by Mengkun Li, Yitian Sun, Chunjie Xu, Chen’ao Du, Wei Shao

“…The MHALSTM component predicts passenger flow by capturing trends and patterns, while the MPC component formulates an optimization problem that minimizes waiting times and operational costs by repeatedly solving it within a finite time horizon based on predicted passenger flow. …”
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Development of a cloud-based IoT system for livestock health monitoring using AWS and python by Harini Shree Bhaskaran, Miriam Gordon, Suresh Neethirajan

“…This system is designed to track critical health indicators such as movement patterns, body temperature, and heart rate, utilizing AWS for robust data handling and Python for data processing and real-time analytics. …”
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Estimating chlorophyll content in tea leaves using spectral reflectance and deep learning methods by Yuta Tsuchiya, Yuhei Hirono, Rei Sonobe

“…These findings demonstrate that SSL is particularly effective for capturing subtle spectral patterns and improving prediction performance, especially when labeled data are scarce. …”
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Investigating Water-Energy-Food Nexus in the Production of Summer Agricultural Products in Dehloran County by Ehsan Bahmani, Ali Asghar Mirakzadeh, Shahpar Geravandi, Faranak Karamiyan

“…The outcomes of this study can support the region's agricultural industry's sustainable growth by implementing appropriate resource management practices and cultivation patterns.…”
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A survey of individuals’ willingness to share real-world data postmortem with researchers by Rachele M. Hendricks-Sturrup, Christine Y. Lu

“… Abstract Objective: As posthumous data use policy within the broader scope of navigating postmortem data privacy is a procedurally complex landscape, our study addresses this by exploring patterns in individuals’ willingness to donate data with health researchers after death and developing practical recommendations. …”
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Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques by Arifa Zahir, Zulfiqar Ali, Ahmad Sami Al-Shamayleh, Syed Raza Ab bas, Basharat Mahmood, Abdullah Hussein Al-Ghushami, Rubina Adnan, Adnan Akhunzada

“…Various Deep Learning algorithms, including Convolution Neural Network (CNN), LeNet, and Inception-V3 are implemented to classify the records and extract various patterns. LeNet demonstrates optimized accuracy in classifying the records, outperforming CNN by 52% and Inception-V3 by 70%. …”
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Predicting future brand value: The role of machine learning monitoring by Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani

“…These findings demonstrate the effectiveness of machine learning in identifying predictive patterns relevant to brand performance and provide a practical framework for leveraging digital tools to enhance brand valuation strategies. …”
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Assessing particle application in multi-pass overlapping scenarios with variable rate centrifugal fertilizer spreaders for precision agriculture by Shi Yinyan, Zhu Yangxu, Wang Xiaochan, Zhang Xiaolei, Zheng Enlai, Zhang Yongnian

“…The coefficient of variation (CV) was calculated by weighing the fertilizer mass in standard pans, in order to evaluate the distribution uniformity of spreading patterns. The results showed that the effective application widths were 21.05, 22.58 and 23.67 m for application rates of 225, 300 and 375 kg/ha, respectively. …”
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Improving Solar Radiation Forecasting in Cloudy Conditions by Integrating Satellite Observations by Qiangsheng Bu, Shuyi Zhuang, Fei Luo, Zhigang Ye, Yubo Yuan, Tianrui Ma, Tao Da

“…To alleviate this limitation, this study develops a hybrid network which relies on a convolutional neural network to extract cloud motion patterns from time series of satellite observations and a long short-term memory neural network to establish the relationship between future solar radiation and cloud information, as well as antecedent measurements. …”
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Forecasting Tunnel-Induced Ground Settlement: A Hybrid Deep Learning Approach and Traditional Statistical Techniques With Sensor Data by Syed Mujtaba Hussaine, Linlong Mu, Yimin Lu, Syed Sajid Hussain

“…These results highlight the effectiveness of convolutional mechanisms in deep learning and the advantage of optimized ARIMA/SARIMA models in capturing complex temporal patterns and improving forecasting precision for optimizing ground settlement. …”
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The role of RCCE-IM in the mpox response: A qualitative reflection process with experts and civil society in three European countries by Ruth Kutalek, Paul Grohma, Anna Christina Maukner, Silvia Wojczewski, Leo Palumbo, Cristiana Salvi

“…Content analysis was used to analyze the interviews and identify themes, patterns, and underlying concepts. Results: A total of 19 participants from Poland, Serbia and Spain were included in the study. …”
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High-Performance Number Theoretic Transform on GPU Through radix2-CT and 4-Step Algorithms by Alisah Ozcan, Arsalan Javeed, Erkay Savas

“…To this end, our algorithms leverage novel strategy to optimize memory access patterns adaptive to input size, which often is very large. …”
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Educational and Illustrative Modules Based on Multilevel Computer Models by Maksim Kochergin, Vyacheslav Dmitriev, Taras Gandzha

“…As an independent work of students, UIM can be used as a simulator: for conducting a computational experiment, studying an object model, finding patterns between data, etc. In order to improve modeling skills, students can be offered not only to use a ready-made UIM, but to upgrade it to the existing situation or create a new one on their own in the modeling environment.…”
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Optimizing Engagement: Factors Influencing Family Participation in a Positive Parenting Program among Vulnerable Households with Young Children by Hector Cebolla, Juan Carlos Martín, María José Rodrigo

“…Measurements of subjective factors reported as reasons for NTU and objective factors of sociodemographic characteristics and detailed household patterns of prior engagement with social services to study NTU response were based on official records and project data. …”
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The geography of inequalities in access to healthcare across England: the role of bus travel time variability by Zihao Chen, Federico Botta

“…Our analysis reveals notable spatial–temporal patterns of TTV and average travel times, including an urban–rural divide, clustering of high and low TTV regions, and distinct outliers. …”
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From Bonds to Brains: Understanding the Impact of Attachment on Executive Functions in Adolescents by María Sancho, María J. Luque-Rojas, Carlos Pitillas

“…Furthermore, the finding that insecure-avoidant individuals exhibit greater executive function difficulties than insecure-ambivalent individuals highlights the need to further investigate how different insecure attachment patterns impact cognitive processes. These insights have important implications for educational practices, suggesting the need for targeted interventions to support adolescents with insecure attachment, particularly those with avoidant tendencies.…”
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Investigating the Construction Procedure and Safety Oversight of the Mechanical Shaft Technique: Insights Gained from the Guangzhou Intercity Railway Project by Jianwang Li, Wenrui Qi, Xinlong Li, Gaoyu Liu, Jian Chen, Huawei Tong

“…Using intelligent cloud monitoring, we analyzed the stress–strain patterns of the cutting edge and segments. The results showed significant improvements in construction efficiency, cost reduction, safety, and resource conservation. …”
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