Transformer Online Monitoring Data Abnormal Value Detection and Cleaning by QIAN Yucheng, ZHEN Chao, JI Kun, ZHAO Changwei, FU Longming, ZHANG Yajing

“…Finally, the time series forecasting method is studied, the trend forecast is completed and the missing values and noise values are filled to maintain data integrity The algorithm is verified by the online monitoring data of a substation The results show that the method can complete abnormal detection and cleaning in time The accuracy rate after cleaning is 93.9%, and the completion rate can reach 98.6%, which has high use value…”
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A novel self-attentive deep learning for predicting pregnancy outcome after hysteroscopic adhesiolysis in patients with intrauterine adhesions by Yueqi Li, Jieying Zheng, Yong Shi, Jiansheng Wu, Danhong Peng, Jun Wang

“…The experiments were conducted on a clinical dataset of 121 patients with 163 features, where 16.05% missing values were effectively handled using a matrix decomposition approach. …”
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OITrack: Multi-Object Tracking for Small Targets in Satellite Video via Online Trajectory Completion and Iterative Expansion over Union by Weishan Lu, Xueying Wang, Wei An, Chao Xiao, Qian Yin, Guoliang Zhang

“…To address these issues, we propose OITrack, an improved tracking framework that integrates a Trajectory Completion Module (TCM), an Adaptive Kalman Filter (AKF), and an Iterative Expansion Intersection over Union Strategy (I-EIoU) strategy. …”
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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) by Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire

“…Unlike past methods dependent on controlled environments or simulated videos, the proposed approach integrates pose estimation with new algorithms to handle operational challenges present in the dataset, such as minor camera movement during sagittal recordings, slight zoom variations in coronal views, and partial visibility (e.g., missing head) in some videos. …”
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Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation by Yajing Chen, Urs Liebau, Shreyas Mysore Guruprasad, Iaroslav Trofimenko, Christine Minke

“…Challenges in LCA, like missing environmental data, are often addressed using machine learning, such as artificial neural networks. …”
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THE BENEFITS OF MULTIDISCIPLINARY TREATMENT ON PERIODONTAL STATUS IN ADULT PATIENTS – A NARRATIVE REVIEW AND CLINICAL CASE by Liliana Ioana Vâță, Cătălin Caliniuc, Ionuț Luchian, Monica Tatarciuc, Irina Nica

“…The main motivation for referring adults to the orthodontist is the desire to improve dental and smile aesthetics, missing teeth due caries, periodontal disease or trauma and subsequently functional impairment. …”
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SatDiff: A Stable Diffusion Framework for Inpainting Very High-Resolution Satellite Imagery by Teerapong Panboonyuen, Chaiyut Charoenphon, Chalermchon Satirapod

“…Satellite image inpainting is a critical task in remote sensing, requiring accurate restoration of missing or occluded regions for reliable image analysis. …”
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Trends of the Intra‐Annual Onset and End of Humid Heatwaves in the Northern Hemisphere by Jianquan Dong, Stefan Brönnimann, Tao Hu, Xueyan Cheng, Yanxu Liu, Jian Peng

“…Abstract Humid heatwaves negatively affect human health due to the integrating effect of temperature and humidity, and thus the early warning and timely mitigating on climate extremes are essential. …”
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UniText: A Unified Framework for Chinese Text Detection, Recognition, and Restoration in Ancient Document and Inscription Images by Lu Shen, Zewei Wu, Xiaoyuan Huang, Boliang Zhang, Su-Kit Tang, Jorge Henriques, Silvia Mirri

“…Processing ancient text images presents significant challenges due to severe visual degradation, missing glyph structures, and various types of noise caused by aging. …”
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THE IMPACT OF THE 2007-2008 CRISIS ON THE EUROPEAN AND ROMANIAN LEGISLATIVE AND INSTITUTIONAL FRAMEWORK IN THE PROTECTION OF CONSUMERS OF FINANCIAL SERVICES by Monica CALU

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Predictive factors of adolescents’ happiness: a random forest analysis of the 2023 Korea Youth Risk Behavior Survey by Eun Joo Kim, Seong Kwang Kim, Seung Hye Jung, Yo Seop Ryu

“…Data pre-processing involved handling missing values and selecting variables to construct an optimal dataset. …”
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Mental Disorder Assessment in IoT-Enabled WBAN Systems with Dimensionality Reduction and Deep Learning by Damilola Olatinwo, Adnan Abu-Mahfouz, Hermanus Myburgh

“…This study develops a hybrid deep learning model, integrating CNN and BiLSTM applied to EEG data, to address this need. …”
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Optimization and Evaluation of the PEDF System Configuration Based on Planning and Operating Dual-Layer Model by Tianhe Li, Pei Ye, Haiyang Wang, Weiyu Liu, Xinyue Huang, Ji Ke

“…Capacity configuration and energy scheduling are crucial components that are often treated separately, leading to a missing opportunity to leverage the synergy among key interactive devices. …”
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An explainable AI-based approach for predicting undergraduate students academic performance by Fatema Tuz Johora, Md Nahid Hasan, Aditya Rajbongshi, Md Ashrafuzzaman, Farzana Akter

“…Initially the dataset was produced utilizing data-preprocessing techniques such as one-hot encoding, column remaining, and managing missing values. SMOTE (Synthetic Minority Oversampling Technique) and normalizing algorithms were employed to attain data balance and feature scaling, respectively. …”
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Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

“…The process of identifying individual animals can be hindered by ear tags that fall off, and the ability to identify them over a long period of time becomes impossible when tags are missing. A dataset was generated by capturing images of cattle in their native environment to tackle this issue. …”
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Spatio-Temporal Transformer Networks for Inland Ship Trajectory Prediction with Practical Deficient Automatic Identification System Data by Youan Xiao, Xin Luo, Tengfei Wang, Zijian Zhang

“…Leveraging the Transformer model, denoted TRFM, this research integrates processed AIS data from the Yangtze River to create a predictive dataset, validating the efficacy of our prediction methodology. …”
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An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning by Huimin Li, Yuhu Tao, Dan Chen, Yi Tang, Jianxiao Wang, Lulu Xue

“…Additionally, to enhance the model’s ability to represent complex relationships and overcome the limitations of relying on a single KGE model, the Ne_AnKGE framework integrates the outputs of TransE and RotatE, both of which have been enhanced through negative sample analogical reasoning. …”
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Joint association of frailty and depression with new-onset digestive disease among elderly Chinese population by Fan Zhang, Yu-Jun Xiong, Xiang-Da Meng, Tian Lv, Du-Juan Yang

“…No multiplicative or additive interaction was observed.ConclusionFrailty and depression synergistically elevate digestive disease risk in aging populations, with bidirectional mediation underscoring their interdependence. Integrated interventions targeting mental health and geriatric vulnerability may mitigate disease burden.…”
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Sparse point annotations for remote sensing image segmentation by Sixian Chan, Wangjie Zhou, Yanjing Lei, Chao Li, Jie Hu, Feng Hong

“…To better capture spatial information across channels, we integrate the Efficient Multi-scale Attention (EMA) module, which enables dynamic label adjustment and enhances self-supervised learning. …”
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A Novel Similarity Score for Link Prediction Approach Using Financial Transaction Networks and Firms’ Attribute by Aparajita Bose, Byunghoon Kim

“…Link prediction in these networks aims to identify potential future or missing transactions or links, providing valuable insights for decision-making and market analysis. …”
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