Weighted determination algoritm of boundary pixels by D. V. Zaerko, V. A. Lipnitski

“…Algorithm takes into account the «special» cases of overstepping and allows to do fast calculation to determine the colour code of the missing pixel. The algorithm is simple to program and easily integrates with the basic convolution matrix algorithm in digital image defects.…”
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Robust skeletal motion tracking using temporal and spatial synchronization of two video streams. by Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas

“…This study proposes a three-dimensional human skeleton tracking system for upper limb activities that integrates temporal and spatial synchronization to improve depth estimation accuracy for rehabilitation exercises. …”
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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…The proposed model preprocesses data by standardization, handling missing values, and encoding categorical features. …”
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Causal Inference for Modality Debiasing in Multimodal Emotion Recognition by Juyeon Kim, Juyoung Hong, Yukyung Choi

“…Multimodal emotion recognition (MER) aims to enhance the understanding of human emotions by integrating visual, auditory, and textual modalities. …”
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Relational Data Cleaning Meets Artificial Intelligence: A Survey by Jingyu Zhu, Xintong Zhao, Yu Sun, Shaoxu Song, Xiaojie Yuan

“…Abstract Relational data play a crucial role in various fields, but they are often plagued by low-quality issues such as erroneous and missing values, which can terribly impact downstream applications. …”
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Divergence in physical, chemical, and biological soil properties caused by different long-term bare fallow management and natural succession by Steffen Schlüter, Mengqi Wu, Maxime Phalempin, Lena Philipp, Evgenia Blagodatskaya, Thomas Reitz, Carsten Simon, Oliver Lechtenfeld, Hans-Jörg Vogel, Martin Schädler, Ines Merbach

“…Additionally, the bare fallow treatments were compared with natural succession to evaluate the effect of missing organic inputs. We monitored the annual dynamics of carbon and nitrogen contents in the topsoil (0–30 cm) and subsoil (30–60 cm). …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

“…The integrated model dynamically estimates the normal fluctuation range of battery cell voltages for fault detection. …”
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An Attempt to Systematically Revisit the Process of Conceptualization and Political Maturation of the Three Seas Initiative (3SI) by Andrea AMZA-ANDRÁS

“…The 3SI should not miss the momentum once the reconstruction of Ukraine effectively begins, and it should contribute substantially to the process of political and economic integration of the Eastern neighbourhood.…”
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A multi-modal graph-based framework for Alzheimer’s disease detection by Najmeh Mashhadi, Razvan Marinescu

“…By using a modular and adaptive approach, our framework effectively integrates diverse data types, handles distribution shifts, and scales to arbitrary complexity, offering a practical tool that remains accurate even when modalities are missing for advancing Alzheimer’s disease diagnosis and potentially other complex medical prediction tasks.…”
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Reliable Process Tracking Under Incomplete Event Logs Using Timed Genetic-Inductive Process Mining by Yutika Amelia Effendi, Minsoo Kim

“…For the first time, these two algorithms are combined into a unified framework to address both missing activity recovery and structural correctness in process discovery. …”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Robust statistical methods based on M-estimator theory had been integrated for the treatment of outliers and missing data, which helped in reducing bias in estimation by 30% and increasing the False Positive Rate (FPR) by 12%. …”
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Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel by Christine Ahrends, Mark W Woolrich, Diego Vidaurre

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Automatic fused multimodal deep learning for plant identification by Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi

“…Recent research has turned to multimodal learning to overcome this limitation by integrating multiple data types, which enriches the representation of plant characteristics. …”
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A Hybrid Spatial–Temporal Deep Learning Method for Metro Tunnel Displacement Prediction Under “Dual Carbon” Background by Jianyong Chai, Limin Jia, Jianfeng Liu, Enguang Hou, Zhe Chen

“…The burgeoning urbanization and construction activities pose significant challenges to the structural integrity and safety of the existing metro tunnels. …”
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Enhancement of Background Subtraction Techniques Using a Second Derivative in Gradient Direction Filter by Farah Yasmin Abdul Rahman, Aini Hussain, Wan Mimi Diyana Wan Zaki, Halimah Badioze Zaman, Nooritawati Md Tahir

“…A new approach was proposed to improve traditional background subtraction (BGS) techniques by integrating a gradient-based edge detector called a second derivative in gradient direction (SDGD) filter with the BGS output. …”
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Ethical Considerations and Recommendations for Humanizing Immigrant Language in Health Equity Data Collection, Reporting, and Measurement by Andrea Thoumi, Olurotimi Kukoyi, Kamaria Kaalund, Yazmin Garcia Rico, Rosa M. Gonzalez-Guarda, Jay Pearson, Viviana Martinez-Bianchi

“…Collecting accurate and consistent sociodemographic data is needed to improve health measurement and public health interventions. Missing or inaccurate data hinders the adequate assessment of the state of access, quality, and coverage in the overall population and communities experiencing social marginalization. …”
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Prediction and Analysis of Ship Engine Vibration Signals Based on Prompted Language Models by Yunzhou Zhang, Yanghui Tan, Shuai Hao, Hong Zeng, Peisheng Sang, Ya Gao

“…Experimental results demonstrate that the LLM-based method not only outperforms these baselines under certain conditions but also exhibits enhanced robustness in handling missing data. This research offers new insights into integrating LLMs into intelligent monitoring systems for autonomous ships.…”
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The May 2024 Flood Disaster in Southern Brazil: Causes, Impacts, and SWOT‐Based Volume Estimation by Iury T. Simoes‐Sousa, Carolina M. L. Camargo, Juliana Tavora, Agata Piffer‐Braga, J. Thomas Farrar, Tamlin M. Pavelsky

“…To assess the flood's scope, and volume, we integrate these satellite data with FABDEM topography. …”
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Relational Lorentzian Asymptotically Safe Quantum Gravity: Showcase Model by Renata Ferrero, Thomas Thiemann

“…In this paper, we fill in the missing steps. Particular care is needed due to the necessary switch to Lorentzian signature, which has a strong impact on the convergence of “heat” kernel time integrals in the heat kernel expansion of the trace involved in the Wetterich equation and which requires different cut-off functions than in the Euclidian version. …”
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Diabetic Retinopathy Classification Using Hybrid Color-Based CLAHE and Blood Vessel in Deep Convolution Neural Network by Ammar Jawad Kadhim, Hadi Seyedarabi, Reza Afrouzian, Fadhil Sahib Hasan

“…These features are integrated to enhance the accuracy of classification and detection of DR. …”
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