Short-Term Telephone-Traffic Prediction of Power Grid Customer Service Based on Adaboost-CNN by QIN Hao, SU Liwei, WU Guangbin, JIANG Chongying, XU Zhipeng, KANG Feng, TAN Huochao, ZHANG Yongjun

“…Finally, considering the value-added services within the power supply service system, the prediction results of the model are corrected to obtain the final traffic prediction value. The case analysis shows that the proposed forecasting model reduces prediction error by an average of 11.05 percentage points compared to a single forecasting model and by 5.32 percentage points compared to a combined forecasting model, demonstrating better forecasting accuracy.…”
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Machine learning predictive performance in road accident severity: A case study from Thailand by Ittirit Mohamad, Sajjakaj JomnonKwao, Vatanavongs Ratanavaraha

“…This study evaluates the predictive performance of multiple supervised machine learning algorithms in classifying accident severity, addressing the gap in prior research that lacks a comparative analysis of multiple models trained on large-scale crash data. …”
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Validation of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnoea in patients with cardiovascular risk factors: a systematic review and meta-analysis by Mahesh Nagappa, Frances Chung, Marina Englesakis, Mark Hwang, Kevin Zhang, Aparna Saripella

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Investment Patterns in Diverse Economies: A Bibliometric Study of Global Transformations by Artem Artyukhov, Olha Yeremenko, Nadiia Artyukhova, Artur Lapidus, Olena Churikanova, Kseniia Bliumska-Danko

“…This paper presents a bibliometric analysis examining investment patterns in diverse economies and their relationship with global financial transformations. …”
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Aortic Aneurysm Inflammatory Cell Detection with Deep Learning methods by Kristóf-Gergö Nagy, Csaba Szferle, Attila Fintha

“…INTRODUCTION: In digital pathology, neural networks such as the Multilayer Perceptron (MLP) and Residual Neural Network (ResNet) are becoming increasingly prevalent for the analysis of tissue structure. …”
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Post marketing safety assessment of the novel postpartum depression drug, Zuranolone: evidence from real-world pharmacovigilance analysis based on the FDA adverse event reporting s... by Duoqin Huang, Zixin Luo, Xi Gong, Kang Zou, Yu Peng, Shaoying Zeng

“…Disproportionate analysis was used to quantify adverse drug reaction signals associated with Zuranolone and to detect risk signals from the data in the FAERS database. …”
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Research Advances and Emerging Trends in the Impact of Urban Expansion on Food Security: A Global Overview by Shuangqing Sheng, Ping Zhang, Jinchuan Huang, Lei Ning

“…Drawing on bibliographic data from the Web of Science Core Collection, this study employs the bibliometrix package in R to conduct a comprehensive bibliometric analysis of the literature on the “urban expansion–food security” nexus spanning from 1982 to 2024. …”
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A Near-Infrared Imaging System for Robotic Venous Blood Collection by Zhikang Yang, Mao Shi, Yassine Gharbi, Qian Qi, Huan Shen, Gaojian Tao, Wu Xu, Wenqi Lyu, Aihong Ji

“…In this paper, we develop a vein imaging device based on the simulation analysis of vein imaging parameters and propose a U-Net+ResNet18 neural network for vein image segmentation. …”
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Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil by Xiang Chen, Paula Moraga

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A New Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Türkiye by Ulubey Çeken, Fadime Sertçelik, Abdullah İçen

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Using Vision Transformers for Classifying Surgical Tools in Computer Aided Surgeries by El Moaqet Hisham, Janini Rami, Abdulbaki Alshirbaji Tamer, Aldeen Jalal Nour, Möller Knut

“…Nevertheless, it faces challenges due to complex surgical scenes and limited annotated data. Most of the existing methods for classifying surgical tools in laparoscopic surgeries rely on conventional deep learning methods such as convolutional and recurrent neural networks. …”
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AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding by Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare Mikkelsen, Preben Kidmose

“…AADNet shows a significant performance improvement for both subject-specific and subject-independent models. Notably, the average subject-independent classification accuracies for different analysis window lengths range from 56.3% (1 s) to 78.1% (20 s), 57.5% (1 s) to 89.4% (40 s), and 56.0% (1 s) to 82.6% (40 s) for three validated datasets, respectively, showing a significantly improved ability to generalize to data from unseen subjects. …”
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Rapid human movement and dengue transmission in Bangladesh: a spatial and temporal analysis based on different policy measures of COVID-19 pandemic and Eid festival by Jahirul Islam, Wenbiao Hu

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Analysis and Optimization of Operating Modes of Mini-CHP on Local Fuels in Conditions of Surplus Electric Power Capacities in the Unified Energy System of Belarus. Part 2 by R. S. Ignatovich, V. A. Sednin, Ye. S. Zuyeva

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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

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Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

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Analysis of the current situation and factors influencing the utilization of somatic and somatic-mental disorder comorbidity and health services among middle-aged and older adult p... by Mo Xue, Qianqian Zhang, Jialing Wu, Kan Tian

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Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

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Optical OTFS waveform PAPR analysis for high order modulation employing CNN, DNN, and AE machine learning algorithms under a variety of channel scenarios by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The results are significant for future optical wireless networks, where high data rates must be sustained and nonlinear distortion minimized.…”
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Himatanthus bracteatus stem bark ethanolic extract obtained by sequential pressurized liquid extraction: Chromatographic characterization and profiling of cytotoxic, antitumoral an... by Rose N. Pereira-Filho, Wilson D. Gonçalves-Júnior, Agenor G. dos Santos-Neto, John L.S. Cunha, Oslei P. de Almeida, Luciana N. Andrade, Daniela Droppa-Almeida, Ricardo G. Amaral, Cláudio Dariva, Juliana C. Cardoso, Patricia Severino, Eliana B. Souto, Ricardo L.C. de Albuquerque-Júnior

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