Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm by Xiaoyu Zhang, Jiusheng Chen, Quan Gan

“…In this paper, an improved kernel principal component analysis (KPCA) method is proposed to search for signatures of anomalies in flight datasets through the squared prediction error statistics, in which the number of principal components and the confidence for the confidence limit are automatically determined by OpenMP-based K-fold cross-validation algorithm and the parameter in the radial basis function (RBF) is optimized by GPU-based kernel learning method. …”
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Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning by Bonyou Koo, Sunyoung Kwon

“…Molecule representation learning is a primary area of focus in drug discovery and molecular property prediction. In previous studies, molecules have been modeled as graphs, enabling graph neural networks (GNNs) to capture essential structural information. …”
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Can Occupational Stress be Reduced by Gamification? A Study of Newcomers by Žigimantas Pečiūra

“…Finally, gameful experiences related to guidance, social connectedness, accomplishments, and playfulness predicted lower stress scores. …”
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DAG-Based Swarm Learning Approach in Healthcare: A Survey by David Gana, Faisal Jamil

“…This paper highlights the transformative impact of these technologies on medical diagnostics, disease prediction, and precision medicine.…”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

“…Although deep learning models outperform traditional methods in predicting wildfires, their accuracy drops to about 90% when using remotely sensed data. …”
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CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics by Jerome J. Choi, John Svaren, Daifeng Wang

“…Next, we train a deep learning model to predict each TG expression using the co-binding TFs’ expressions. …”
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Mechanical Properties of Fiber Reinforced Lightweight Concrete Containing Surfactant by Yoo-Jae Kim, Jiong Hu, Soon-Jae Lee, Byung-Hee You

“…Based on the properties, a stress-strain prediction model was proposed. It was demonstrated that the proposed model accurately predicts the stress-strain behavior of FALC.…”
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Platelet Distribution Width: A Severity Marker Of Pre Eclampsia, Experience At Tertiary Care Hospital by Mariam Zahir, Shagufta Saeed Sial, Humera Noreen

“…Conclusion: PDW is a useful marker for the prediction of the severity of preeclampsia before the disease progresses to severe preeclampsia and HELLP. …”
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Saturation Height Modelling for Tight Sandstone Reservoirs with Gas Diffusion Dynamics Taken into Account by Zhou Lyu, Zhilun Yang, Yuhong Hao, Shunzhi Yang, Liqiong Wang, Sen Chang, Xiaomin Xue, Jing Li

“…Interpreting and predicting the saturation of tight sandstone gas reservoirs are the key task to improve the reservoir development. …”
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Exploring the value of digital twins for information management in highway asset maintenance by Mengtian Yin, Varun Kumar Reja, Ran Wei, Ioannis Brilakis, Brian Sheil, Federico Perrotta, Alix Marie d'Avigneau, Linjun Lu

“…This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.…”
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Epidermal Growth Factor Receptor Gene in Non-Small-Cell Lung Cancer: The Importance of Promoter Polymorphism Investigation by Vladimir Jurišić, Jasmina Obradovic, Sonja Pavlović, Nataša Djordjevic

“…The accumulation of knowledge regarding SNPs lately suggests their significant and important role in the onset of carcinogenesis, the prediction of the onset of metastases, the response to therapy with TKI inhibitors, and the onset of toxic effects of the applied therapy. …”
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Modelling of Heat Transfer Phenomena for Vertical and Horizontal Configurations of In-Pool Condensers and Comparison with Experimental Findings by Davide Papini, Antonio Cammi

“…Several thermal-hydraulic features were explored, being the analysis mainly devoted to the description of the best-estimate correlations and models for heat transfer coefficient prediction. In spite of a more critical behaviour concerning thermal expansion issues, vertical tube condensers offer remarkably better thermal-hydraulic performances. …”
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Assessment of Turbulence Models for Flow Simulation around a Wind Turbine Airfoil by Fernando Villalpando, Marcelo Reggio, Adrian Ilinca

“…With the aim of selecting the most suitable turbulence model to simulate flow around ice-accreted airfoils, this work concentrates on assessing the prediction capabilities of various turbulence models on clean airfoils at the large angles of attack that cause highly separated flows to occur. …”
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A Framework for the Objective Assessment of Registration Accuracy by Francesca Pizzorni Ferrarese, Flavio Simonetti, Roberto Israel Foroni, Gloria Menegaz

“…The basic idea consists in predicting the accuracy of a given pipeline based on the identification and characterization of the sources of inaccuracy. …”
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Research on the Safety Thickness of Tunnel Outburst Prevention in Water-Rich Fault Fracture Zone Based on Janssen’s Theory by Zuliang Zhong, Yapeng Li, Xiaohan Zhou

“…The results show that: (1) the calculation formula of outburst prevention thickness proposed in this paper is more perfect and shows good prediction effect for deep- and shallow-buried tunnels; (2) the greater the angle α between tunnel axis and fault zone and the dip θ of fault fracture zone, the smaller the critical safety thickness of outburst prevention and the safer it is for tunnel construction; (3) when the fault fracture zone inclines inward relative to the tunnel face, the gravity of the rock mass in the fault zone will lead to an increase in the safety thickness of outburst prevention, and reinforcement measures should be taken during actual construction.…”
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Machine learning based QSAR and Molecular Dynamics simulations in the structural design and mechanism of action of imidazole derivatives with anti-melanoma activity by Rosalvo Ferreira de Oliveira Neto, Sérgio Ruschi Bergamachi Silva, Cintia Emi Yanaguibashi Leal, Edilson Beserra de Alencar Filho

“…The QSAR model allows for the design and prediction of nine new analogues with favourable predicted IC50 values. …”
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Analysis and Design of an Optimal Noise Estimation and Cancellation Filter in Wireline Communication by Mohammad Emami Meybodi, Hossein Shakiba, Ali Sheikholeslami

“…This paper presents a comprehensive study of noise prediction and cancellation techniques in high-speed wireline communication systems. …”
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New Prospective for the Management of Low-Risk Pulmonary Embolism: Prognostic Assessment, Early Discharge, and Single-Drug Therapy with New Oral Anticoagulants by Alessandro Squizzato

“…Several parameters have been proposed and investigated to identify low-risk PE: clinical prediction rules, imaging tests, and laboratory markers of right ventricular dysfunction or injury. …”
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Enhanced Dynamic Model of Pneumatic Muscle Actuator with Elman Neural Network by Alexander Hošovský, Ján Piteľ, Kamil Židek

“…Recurrent neural network was preferred over feedforward type due to its better long-term prediction capabilities well suited for simulation use of the model. …”
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An Elliptic Curve Based Schnorr Cloud Security Model in Distributed Environment by Vinothkumar Muthurajan, Balaji Narayanasamy

“…The HCSA-based auditing improves the malicious activity prediction during the data transfer. The duplication in the cloud server degrades the performance of EC-Schnorr based encryption schemes. …”
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