Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

“…Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a challenging, unsolved problem that is fraught with uncertainty due to the heterogeneity of bot behaviors, training data, and detection algorithms. …”
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Defect Image Recognition and Classification for Eddy Current Testing of Titanium Plate Based on Convolutional Neural Network by Weiquan Deng, Jun Bao, Bo Ye

“…The structural characteristics of local connectivity and shared weights of CNN have better feature learning and characterization capabilities for titanium plate defect images under scan shift, scale distortion, and strong noise interference. …”
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‘You see, it is the skin’—responses to racism by young immigrant refugees in rural municipalities in Sweden with historical extreme right-wing and nationalist roots by Christer Mattsson, Roger Säljö

“…When reporting, the students argue that racism is not much of a problem for themselves, but that many of their friends suffer. …”
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The Minimum Spectral Radius of an Edge-Removed Network: A Hypercube Perspective by Yingbo Wu, Tianrui Zhang, Shan Chen, Tianhui Wang

“…The spectral radius minimization problem (SRMP), which aims to minimize the spectral radius of a network by deleting a given number of edges, turns out to be crucial to containing the prevalence of an undesirable object on the network. …”
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Modeling environmental transmission of MAP infection in dairy cows by Kokum R. De Silva, Shigetoshi Eda, Suzanne Lenhart

“…It is a chronic, progressive, and inflammatory disease which has a long incubation period. One main problem with the disease is the reduction of milk production in infected dairy cows. …”
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The Efficiency of Collaborative Assembling Cells by Andrusyshyn V., Luscinski S., Ivanov V., Pavlenko I.

“…To produce competitive products, it is necessary to consider their permanent modernization and adaptation to the emerging needs of a consumer. This feature of up-to-date production inevitably leads to design complexities. …”
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Optimal fusion β-quaternion filtering from delayed observations and packet losses with compensation strategy under properness by J. D. Jiménez-López, R. M. Fernández-Alcalá, F. Gutiérrez-Trujillo, E. Grassucci, D. Comminiello

“…This study addresses the problem of centralized fusion filtering for β-quaternion signals obtained from multisensor observations. …”
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Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images by Zhechao YANG, Liqun REN, Changhong ZHI, Yunxiang YOU, Hongwei WANG

“…ObjectivesAiming at the problem of the identifiability of underwater vehicle wave trails in synthetic aperture radar (SAR) images in a density stratified environment, this study establishes a theoretical solution model and quantitative analysis method. …”
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Prospects for Phagоtherapy of Bacterial Infections Associated with the Provision of Medical Care by A. D. Daudova, R. O. Abdrakhmanova, A. L. Yasenyavskaya, Ju. Z. Demina, M. O. Rubalsky, O. V. Rubalsky, M. A. Samotrueva, O. A. Bashkina

“…Healthcare-associated infections (HAIs) are a global medical and socioeconomic problem. Nosocomial infections occupy one of the leading places among the causes of death in the Russian Federation. …”
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Fault Location Method for Communication Link in Smart Substation Based on Deep Learning by Zhiyong PI, Yi ZHU, Xuan LIAO, Zhenxing LI, Hao FANG, Pei WU

“…Aiming at the problem of low troubleshooting efficiency of communication link faults caused by complex links in smart substation, a deep learning based fault location method for intelligent substation communication link of smart substation is proposed. …”
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Breaking barriers in ICD classification with a robust graph neural network for hierarchical coding by Suyang Xi, Jiesen Shi, Jiachen Yan, MingJing Lin, Xinyi Zhou, Yuan Cheng, Hong Ding, Chia Chao Kang

“…To address these issues, we propose Labeled Graph Generation with Node Representation Grasp (LGG-NRGrasp), an advanced adversarial learning framework that models ICD coding as a labeled graph generation problem. By leveraging a hierarchical structure to refine feature learning, our approach addresses the issue of over-smoothing in deep graph neural networks. …”
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Zero-shot intelligent fault diagnosis via semantic fusion embedding by Honghua Xu, Zijian Hu, Ziqiang Xu, Qilong Qian

“…Aiming to solve this problem, this paper proposes a novel deep fault semantic fusion embedding model (DFSFEM) to realize zero-shot intelligent fault diagnosis. …”
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An Effective Soft-Sensor Method Based on Belief-Rule-Base and Differential Evolution for Tipping Paper Permeability Measurement by Rong Hu, Qinli Zhang, Bin Qian, Leilei Chang, Zhijie Zhou

“…The current paper presents a soft-sensor method based on belief-rule-base (BRB) system for solving the problem of tipping paper permeability measurement in the tobacco industry. …”
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Variable Step-Size Hybrid Filtered-x Affine Projection Generalized Correntropy Algorithm for Active Noise Control by Zhaoqing Mu, Ying Gao, Xinyu Guo, Shifeng Ou

“…This algorithm is derived from the Affine Projection Generalized Maximum Correntropy (APGMC) method, featuring a hybrid step-size and a new step-size approach achieved by modifying the mean square deviation (MSD). …”
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Predictors of Sudden Cardiac Death during Extracardiac Surgical Interventions by L. A. Maltseva, N. V. Krasnenko, V. V. Khalimonchik, R. A. Shkapyak

“…Particular attention is given to the topicality of the problem of SCD to inpatients: at the stages of anesthetic management during extracardiac surgical interventions. …”
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Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography by Xiaodong Sheng, Tao Fan, Xiaoqi Jin, Jing Jin, Zhixian Chen, Guanqun Zheng, Min Lu, Zongcheng Zhu

“…Aiming at the problem that the traditional coronary artery centerline extraction method is computationally intensive and requires a large number of manual interventions, a fully automatic coronary artery centerline tracking extraction method is proposed. …”
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An interpretable integrated machine learning framework for genomic selection by Jinbu Wang, Jia Zhang, Wenjie Hao, Wencheng Zong, Mang Liang, Fuping Zhao, Longchao Zhang, Lixian Wang, Huijiang Gao, Ligang Wang

“…In this study, we conducted a comprehensive analysis comparing the performance of various ML models, along with investigations into parameter optimization, dimensionality reduction, feature selection, and the “black box” problem. We also proposed an efficient and interpretable framework, NTLS (NuSVR + TPE + LightGBM + SHAP). …”
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Multi-Dimensional and Multi-Scale Physical Dehazing Network for Remote Sensing Images by Hao Zhou, Le Wang, Qiao Li, Xin Guan, Tao Tao

“…Haze obscures remote sensing images, making it difficult to extract valuable information. To address this problem, we propose a fine detail extraction network that aims to restore image details and improve image quality. …”
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FBiLSTM-Attention short-term load forecasting based on fuzzy logic by Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG

“…Secondly, K-Means clustering was used to transform the data of each feature into fuzzy rules and introduce fuzzy logic processing. …”
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Recent advances in structural health diagnosis: a machine learning perspective by Yuequan Bao, Huabin Sun, Yang Xu, Xiaoshu Guan, Qiuyue Pan, Dawei Liu

“…For complex bridge structures, diagnosing structural health based on highly incomplete monitoring data presents an inherent high-dimensional problem. Machine learning methods are particularly well-suited for addressing these issues due to their capabilities in effective feature extraction, efficient optimization, and robust scalability. …”
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