CSAN: A Channel–Spatial Attention-Based Network for Meteorological Satellite Image Super-Resolution by Weiliang Liang, Yuan Liu

“…The feature extraction module integrates channel and spatial attention into the residual network, enabling the extraction of informative spectral and spatial features from the fused inputs. …”
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Translation Mechanism of Neural Machine Algorithm for Online English Resources by Yanping Ye

“…This paper proposes a framework that integrates vocabulary alignment structure for neural machine translation at the vocabulary level. …”
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Structural safety and usability evaluation of one way voided slab with Formwork by Moowon Hur, Hyun-Ho Lee, Taewon Park

“…This study proposed a formwork-integrated hollow slab with an improved shape made of a hollow material. …”
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Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization by JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

“…The method improves data quality of power equipment condition by repairing isolated data points and filling in missing data, which is simple and efficient for improving the accuracy and integrity of the data set. …”
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Identifying the predictors of ultra early neurological improvement and its role in functional outcome after endovascular thrombectomy in acute ischemic stroke by Yuzheng Lai, Mohammad Mofatteh, José Fidel Baizabal-Carvallo, José Fidel Baizabal-Carvallo, Jianfeng He, Wenhao Wu, Daohong Wang, Wenshan Yan, Jicai Ma, Sijie Zhou, Yu Sun, Yu Sun, Yi He, Shumei Li, Hao Sun

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Unraveling the Roles of Switching and Relaxation Times in Volatile Electrochemical Memristors to Mimic Neuromorphic Dynamical Features by Mrinmoy Dutta, Stefano Brivio, Sabina Spiga

“…However, a clear comprehensive picture of their possible dynamics and their physical interpretation is still missing. In the present manuscript, prototypical electrochemical silver/silicon oxide/platinum (Ag/SiOx/Pt) memristive devices are characterized to identify dynamical aspects, like integrative effects and stochastic switching. …”
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TRACE: Transformer-Based Risk Assessment for Clinical Evaluation by Dionysis Christopoulos, Sotiris Spanos, Valsamis Ntouskos, Konstantinos Karantzalos

“…The proposed architecture features a shared representation of the clinical data obtained by integrating specialized embeddings of each data modality, enabling the detection of high-risk individuals using Transformer encoder layers. …”
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Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach by Isha Gupta, Anu Bajaj, Manav Malhotra, Vikas Sharma, Ajith Abraham

“…This approach also integrated GA for hyperparameter tuning, enhancing predictive accuracy. …”
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Bridge Tower Warning Method Based on Improved Multi-Rate Fusion Under Strong Wind Action by Yan Shi, Yan Wang, Lu-Nan Wang, Wei-Nan Wang, Tao-Yuan Yang

“…Spectral analysis confirmed that the fused displacement measurements achieve high precision by effectively merging the low-frequency GPS signal with the high-frequency accelerometer signal. Structural integrity monitoring of wind-loaded bridge towers used modeling residuals as alert triggers. …”
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A Novel Group Decision-Making Method with Adjustment Willingness in a Distributed Hesitant Fuzzy Linguistic Environment by Xiao Liang, Xiaoxia Xu, Francisco Javier Cabrerizo

“…First, to address the practical scenario where DMs may express preferences using multiple linguistic values with explicit preference strengths, this paper extends the distributed hesitant fuzzy linguistic preference relation (DHFLPR) and supplements missing probabilities. Second, we integrate multiplicative consistency and consensus within a DHFL environment to construct two preference optimization models, whose objective functions are to minimize the overall adjustment based on DMs’ willingness to adjust, thus making the decision more consistent with actual environments. …”
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Research on multi factor coupling accident triggering mechanism and accident risk control of gas pipeline leakage by Jiashuo Ding, Xuefeng Han, Lei Ni

“…The resultant coupling relationship is integrated into the University of California at Irvine NETwork (UCINET), forming a complex network model for quantitative analysis. …”
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Knowledge enhancement for speech emotion recognition via multi-level acoustic feature by Huan Zhao, Nianxin Huang, Haijiao Chen

“…To address this challenge, a multi-level acoustic feature cross-fusion approach is proposed, aiming to compensate for missing information between various features. It helps to enhance the SER performance by integrating different types of knowledge through the cross-fusion mechanism. …”
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Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD by Yuxuan Duan, Chen Ling, Jinjie Liu, Xinmin Yang

“…Finally, we validate the proposed approach by simulating scenarios with random and structured missing data on two real-world Internet traffic datasets. …”
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Adap-UIL: A Multi-Feature-Aware User Identity Linkage Framework Based on an Adaptive Graph Walk by Xiaqing Xie, Hangjiang Guo, Yueming Lu, Tianle Zhang

“…First, we design and implement an Adaptive Graph Walk method based on the Restarted Affinity Coefficient (RAC), which enhances both the neighborhood and higher-order features of nodes, and then we integrate cross-network features to form Adap-UIL with a more enriched node representation, facilitating user identity linkage. …”
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BEHAVE - facilitating behaviour coding from videos with AI-detected animals by Reinoud Elhorst, Martyna Syposz, Katarzyna Wojczulanis-Jakubas

“…Recent advancements in artificial intelligence (AI) offer automatic detection of target animals in video streams, however integrating these detections with software to annotate behaviours is missing. …”
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May the ODD Be With You: A Stakeholder Analysis on Operational Design Domains of Automated Driving Systems by Marcel Aguirre Mehlhorn, Hauke Dierend, Andreas Richter, Yuri A. W. Shardt

“…Nonetheless, stakeholders require variable levels of information from an ODD to effectively integrate it into their work processes. Considering the ODD as a crucial asset in developing an ADS, a general overview of how stakeholders use and update the ODD is missing. …”
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A study case in southern Chile: perceptions of EFL teachers towards textbooks to develop macro-skills by Roger Martin Ramirez Draughn, Tamara Anastasia Saldivia Cárcamo, Nicolas Ignacio Cárdenas Tamburini

“…The survey encouraged participants to focus on effective English language pedagogical practices they believed to be either integrated or missing in the textbooks. Findings from this research indicate that participants perceive the textbooks as effective overall for teaching receptive skills (reading and listening) and highly ineffective for supporting students in developing speaking skills. …”
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The Use of Comparative Multi-Criteria Analysis Methods to Evaluate Criteria Weighting in Assessments of Onshore Wind Farm Projects by Dimitra G. Vagiona

“…The ranking of this suitability was performed by integrating various multi-criteria decision-making (MCDM) techniques. …”
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CRITIC-Based Vertical Collusion Control Quality Prediction Based on the Coupling and Coordination Degrees of Socioenvironmental and Public-Investment Bidding Systems in China by Chongsen Ma, Yun Chen, Liang Ou, Kangyang Jiang

“…To smooth out periods of missing data, the autoregressive integrated moving average model was employed, and the first-order, one-variable, time-series forecasting method was then used to project the trend to 2025. …”
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Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting. by Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola

“…Furthermore, the K-nearest Neighbor imputation technique fills the missing values, which preserves the data integrity as well as reliability. …”
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