Masked Convolutions Within Skip Connections for Video Anomaly Detection by Demetris Lappas, Vasileios Argyriou, Dimitrios Makris

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Advanced Deep Learning Framework for Predicting the Remaining Useful Life of Nissan Leaf Generation 01 Lithium-Ion Battery Modules by Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

“…The focus of this work is on feature engineering and uncovering hidden patterns in the data. …”
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Ecologically Safe Directions of the Low Rank Coal Bioconversion by Chernysh Y., Plyatsuk L., Ablieieva I., Yakhnenko E., Roubik H., Miakaieva H., Bataltsev E., Danilov D.

“…This paper deals with theoretical research of the biochemical features of low rank coals (LRC) treatment. The biochemical bases of the organic component degradation of LRC and the biochemical principles of bioleaching of sulfur compounds and metals from LRC are presented. …”
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Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations by Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim

“…An Artificial Neural Network recognizes the multiple objects using the different patterns of objects. Finally, labels are estimated via Maximum Entropy model. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. …”
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Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images by Surayuth Pintawong, Shanop Shuangshoti, Tikamporn Jitpasutham, Somruethai Shuangshoti, Kulachet Wiwatwarayos, Thananop Kobchaisawat, Thanarat H. Chalidabhongse

“…Using dual in situ hybridization (DISH) results as the gold standard for HER2 status, we developed our system using handcrafted features—including color intensity, local binary patterns, and Haralick features—combined with tree-based classifiers. …”
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Integration of Arc and Microstructural Analysis for Anomaly Detection in Walls Manufactured by GMA-Based WAAM by Lucas J. E. B. Santos, Joyce I. V. Souto, Igo J. S. Azevedo, Walman B. Castro, Jefferson S. Lima, João M. P. Q. Delgado, Renato A. C. Santana, Ricardo S. Gomez, André L. D. Bezerra, Antonio G. B. Lima

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Spectral Components of Honey Bee Sound Signals Recorded Inside and Outside the Beehive: An Explainable Machine Learning Approach to Diurnal Pattern Recognition by Piotr Książek, Urszula Libal, Aleksandra Król-Nowak

“…Extra Trees and Convolutional Neural Network (CNN) classifiers were trained to identify diurnal activity patterns. Analysis focused on feature importance, particularly spectral characteristics. …”
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Outbreaks of COVID-19 in Medical organizations by Y. I. Sisin, A. A. Golubkova, I. I. Kozlova, N. A. Ostapenko

“…Analysis of the causes and conditions of the spread of SARS-CoV-2 in the MO allows us to determine the most effective measures to contain the infection and prevent the occurrence of subsequent diseases in the focus.The aim is to characterize the epidemiological features of a new coronavirus infection during its nosocomial spread in medical organizations based on the analysis of outbreak incidence.Materials and methods. …”
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Measurement distance effects on $$\varvec{\phi}$$ -symmetric Taylor patterns with optimal transition integer $$\varvec{\overline{n}}$$ and with reduced inner sidelobes by Antón Torrado-Puime, María Elena López-Martín, Juan Antonio Rodríguez-González, Francisco José Ares-Pena

“…Additionally, modified circular Taylor $$\overline{n}$$ distributions featuring synthesized patterns with one or two depressed inner sidelobes, which have not been previously explored, are also examined.…”
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Uses of the Light Verb in Chinese EFL Learners’ and English L1 Undergraduates’ Writing: A Corpus-Pattern-Analysis-Based Investigation by Qin Luo, Wulin Ma

“…In addition, Chinese undergraduates are more likely than L1 undergraduates to overuse high-frequency patterns and semantic roles but underuse low-frequency ones, which may result in a lack of diversity in the range of patterns and complements. …”
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Chalcones inhibit firefly bioluminescence dependent on A and B-ring substitution pattern – a structure-activity study combined with molecular docking by Corinna Urmann, Michael Kirchinger, Herbert Riepl

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Identifying the place without text annotations: an assembled neural network framework for content-based raster map retrieval with cartographical morphological pattern by Xiran Zhou, Yi Wen, Zhenfeng Shao, Wenwen Li, Guochao Hu, Xiao Xie, Ruoran Li, Qunshan Zhao

“…The experiments prove that the feature maps generated from deep learning models can represent the shape characteristics of the target place, and our proposed integrated framework enables effective volunteered map retrieval based on cartographical morphological patterns. …”
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Deciphering a profiling based on multiple post-translational modifications functionally associated regulatory patterns and therapeutic opportunities in human hepatocellular carcino... by Yuanxiang Lao, Yirong Jin, Songfeng Wu, Ting Fang, Qiang Wang, Longqin Sun, Beicheng Sun

“…Conclusion Together, this proteome profiling represents a comprehensive study detailing regulatory patterns based on multiple PTMs of HCC.…”
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Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

“…Node-by-node feature selection and dynamical PDE representation of DfL are evaluated along with long-short-term memory (LSTM) recurrent processing of deep learning (DL), capturing complex spatio-temporal patterns. …”
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Online Reviews Meet Visual Attention: A Study on Consumer Patterns in Advertising, Analyzing Customer Satisfaction, Visual Engagement, and Purchase Intention by Aura Lydia Riswanto, Sujin Ha, Sangho Lee, Mahnwoo Kwon

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Intrauterine growth patterns in rural Ethiopia compared with WHO and INTERGROWTH-21st growth standards: A community-based longitudinal study. by Meselech Roro, Wakgari Deressa, Bernt Lindtjørn

“…Adequate intrauterine growth (IUG) is a basic feature of a healthy pregnancy. The aim of our study was to assess IUG patterns in a rural and drought-affected population in the Rift Valley area of the Adami Tullu district in Oromia, Ethiopia.…”
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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study by Zheng Zhang, Jian Wu, Yi Duan, Linwei Liu, Yaru Liu, Jinghan Wang, Li Xiao, Zhifeng Gao

“…SHapley Additive exPlanations (SHAP) values were used to interpret model outputs and assess feature importance.Results Among 47,520 noncardiac surgeries, 1,996 (4.2%) were classified as HIBPV. …”
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Interpretation of electroencephalography in infants by A. G. Koshchavtsev, S. V. Grechanyi

“…In the likely normative group, the main features are represented by: theta bursts, delta brushes, the “intermittent EEG curve” pattern, the occipital theta rhythm, and slow-sleep waves. …”
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Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin by Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang

“…Feature selection based on the Gini coefficient and Out-Of-Bag Error (OOBE) reduced the original 48 features to 23. …”
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