Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…Second, we propose a comprehensive metric model based on multimachine learning algorithms (CMM-MLA) to select the best-derived dataset with the optimal balance ratio and feature combination. …”
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Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework by Mohammad Javad Aliabadi, Masoud Radmehr

“…Abstract This research presents a robust optimization of a hybrid photovoltaic-wind-battery (PV/WT/Batt) system in distribution networks to reduce active losses and voltage deviation while also enhancing network customer reliability considering production and network load uncertainties. …”
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Prioritized Multi-task Motion Coordination of Physically Constrained Quadruped Manipulators by Aizhen Xie, Xuewen Rong, Guoteng Zhang, Yibin Li, Yong Fan, Zhi Li, Teng Chen

“…The increasing demands for such robots have pushed research progress. However, there remain challenging works in their usage of a high degree of freedom. …”
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Data Mining Techniques for Iraqi Biochemical Dataset Analysis by Sarah Sameer, Suhad Faisal Behadili

“… This research aims to analyze and simulate biochemical real test data for uncovering the relationships among the tests, and how each of them impacts others. …”
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The Evolution of Global and Local Scientist Mobility Network: Evidence From ORCID Profiles by Ziyang Lin, Huiming Gu

“…Using social network analysis methods and the core-periphery profile algorithm, we analyze the structural evolution of the network. …”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“… This research dealt with the analysis of murder crime data in Iraq in its temporal and spatial dimensions, then it focused on building a new model with an algorithm that combines the characteristics associated with time and spatial series so that this model can predict more accurately than other models by comparing them with this model, which we called the Combined Regression model (CR), which consists of merging two models, the time series regression model with the spatial regression model, and making them one model that can analyze data in its temporal and spatial dimensions. …”
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Text Moderation in Online Communities: Integrating User Attributes and Interaction Graph Embedding by Dong Jing, Xu Gao, Kee-Hung Lai

“…Most existing text moderation research approaches it from a text classification perspective, focusing mainly on the text content itself with scant attention to the factors of the text publishers. …”
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Two-Stage Optimization of Mobile Energy Storage Sizing, Pre-Positioning, and Re-Allocation for Resilient Networked Microgrids with Dynamic Boundaries by Hongtao Lei, Bo Jiang, Yajie Liu, Cheng Zhu, Tao Zhang

“…Networked microgrids (NMGs) enhance the resilience of power systems by enabling mutual support among microgrids via dynamic boundaries. While previous research has optimized the locations of mobile energy storage (MES) devices, the critical aspect of MES capacity sizing has been largely neglected, despite its direct impact on costs. …”
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Ray-Tracing method for fields of view simulation in agricultural and forestry vehicles by Lorenzo Landi, Luca Burattini, Maurizio Cutini, Leonardo Vita, Luca Landi

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Substrate-aware computational design of two-dimensional materials by Arslan Mazitov, Ivan Kruglov, Alexey V. Yanilkin, Aleksey V. Arsenin, Valentyn S. Volkov, Dmitry G. Kvashnin, Artem R. Oganov, Kostya S. Novoselov

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Evaluation of Lightning Prediction by an Electrification and Discharge Model in Long-Term Forecasting Experiments by Liangtao Xu, Shuang Chen, Wen Yao

“…Over nearly three rainy seasons of lightning activity in North China, numerical prediction experiments were carried out using the Weather Research and Forecasting model coupled with electrification and discharge schemes (WRF-Electric). …”
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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

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Adaptive Window Multi-Feature Fusion Point Cloud Semantic Segmentation Network by Lie Zhu

“…Specifically, the dynamic window utilizes the farthest point sampling (FPS) algorithm for division and performs global information fusion through inter-window relative attention and global cross-attention. …”
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Study on Tooth Surface Roughness Modeling of Form Grinding Considering the Change of the Local Grinding Condition by Chen Xiaoqi, Tang Cheng, Liao Xianggui, Zhou Weihua, Tang Jinyuan

“…The work of this study puts forward a new understanding of the formation mechanism of the surface roughness of the formed grinding teeth and provides more reference and basis for the follow-up research.…”
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Design and Validation of an Obstacle Contact Sensor for Aerial Robots by Victor Vigara-Puche, Manuel J. Fernandez-Gonzalez, Matteo Fumagalli

“…Obstacle contact detection is not commonly employed in autonomous robots, which mainly depend on avoidance algorithms, limiting their effectiveness in cluttered environments. …”
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Optimization of an Intelligent Music-Playing System Based on Network Communication by Liaoyan Zhang

“…Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. …”
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Study on Load Characteristics of Underwater Explosion Using RKDG-LS-DGF and BEM by Longkan Wang, Hailong Chen, Xi Ye, Xiongliang Yao

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Artificial intelligence in spinal deformity by Joash Suryavanshi, David Foley, Michael H. McCarthy

“…Background: Artificial intelligence (AI) refers to algorithms that utilize data to mimic human cognition. …”
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Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions by Kirsten Zantvoort, Barbara Nacke, Dennis Görlich, Silvan Hornstein, Corinna Jacobi, Burkhardt Funk

“…Prediction performance is analyzed based on dataset size (N = 100–3654), feature groups (F = 2–129), and algorithm choice (from Naive Bayes to Neural Networks). …”
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A2PC: Augmented Advantage Pointer-Critic Model for Low Latency on Mobile IoT With Edge Computing by Rodrigo Carvalho, Faroq Al-Tam, Noelia Correia

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