Online identification of cascading event sequences in power systems using deep learning by Georgios A. Nakas, Panagiotis N. Papadopoulos

“…The framework proposed in this paper focuses on the online identification of the reason of cascading event sequences in power systems with renewable generation. …”
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Seismic Identification and Characterization of Deep Strike-Slip Faults in the Tarim Craton Basin by Fei Tian, Wenhao Zheng, Aosai Zhao, Jingyue Liu, Yunchen Liu, Hui Zhou, Wenjing Cao

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What are risk sciences? by Runhuan Feng

“…We propose a three-dimensional structure for understanding risk sciences: (1) identification and assessment (systematic recognition, evaluation, and modeling of risks); (2) mechanism and strategy (functional tools and governance plans for risk intervention); and (3) behavior and decision (psychological, cognitive, and strategic responses to uncertainty). …”
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Advancing forest mapping: Pretraining strategies and deep-ensemble based uncertainty for predicting evergreen broad-leaved cover from Sentinel-2 time series by Benedikt Hiebl, Nicola Alessi, Giacomo Calvia, Alessandro Bricca, Gianmaria Bonari, Giulio Zangari, Wouter Dorigo, Stefan Zerbe, Martin Rutzinger

“…Additionally, we assess epistemic and aleatoric uncertainty to improve interpretability and identification of out-of-distribution predictions. …”
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Monitoring and Identification of Vibration Frequencies on a Portion of México City Metro Line 12 by Miguel Ángel García-Illescas, David Murià-Vila, Luis Alvarez-Icaza

“…To produce independent results, spectral analysis was performed showing that the associated frequency history is again consistent with that generated with recursive subspace-based identification methods. Overall, results indicate that these subspace methods are suitable for frequency monitoring in the studied system offering, in the case of recursive N4SID, important advantages in terms of low computational cost, real-time implementation, and smaller uncertainty.…”
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Determination of the Parameters of Langmuir-Type Isotherms by the Frontal Analysis Method. Some Identification Aspects by Waldemar Nowicki, Grażyna Nowicka

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BIT: Bayesian Identification of Transcriptional regulators from epigenomics-based query region sets by Zeyu Lu, Lin Xu, Xinlei Wang

“…We introduce BIT, a Bayesian hierarchical model for in-silico TR identification. Leveraging a comprehensive library of TR ChIP-seq data, BIT offers a fully integrated Bayesian approach to assess genome-wide consistency between user-provided epigenomic profiling data and the TR binding library, enabling the identification of critical TRs while quantifying uncertainty. …”
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Computer identification of Notch3 in the neurogenic progenitor cells of mammalian early optic vesicles by Yoshitoku Watabe, Sakurako Kobayashi, Satoru Takahashi, Masaharu Yoshihara

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Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. by Xuemei Bai, Yuqing Zhang, Chenjie Zhang, Zhijun Wang

“…For this reason, this paper proposes a contrast learning-based pseudo-label refinement with probabilistic uncertainty in the unsupervised domain, adapted to Person re-identification, aiming to improve the effectiveness of the unsupervised domain adapted to Person re-identification. …”
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Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay by Xu Yang, Jingjing Gao, Yuri A. W. Shardt, Linlin Li, Chaonan Tong

“…Therefore, this paper proposes an identification and control scheme for monitoring AGC system that can handle time delay and parameter uncertainty. …”
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Identification of a magnetohydrodynamic trigger for plasma explosions in magnetic fusion beyond existing paradigms by K. Kamiya, K. Itoh, G. Matsunaga, A. Isayama, N. Oyama, N. Aiba

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Response estimation and system identification of dynamical systems via physics-informed neural networks by Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis, Eleni Chatzi

“…Or in an additional context, in inverse modelling from noisy full-field data, modelling assumptions are compounded in to the observation uncertainty approximation. To address these issues, this paper explores the use of Physics-Informed Neural Networks (PINNs), a class of physics-enhanced machine learning (PEML) techniques, for the identification and estimation of dynamical systems. …”
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A Dynamic Early Warning Model for Flash Floods Based on Rainfall Pattern Identification by Wenlin Yuan, Bohui Jing, Hongshi Xu, Yanjie Tang, Shuaihu Zhang

“…A dynamic identification method for rainfall patterns was proposed based on the similarity theory and characteristic rainfall patterns database. …”
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Random uncertain motor parameters identification combining fourth-order moment and trust region by Wengui Mao, Congcong Liao, Jie Guo, Xuemei Wu, Jianhua Li

“…Abstract In random uncertain motor parameter identification field, there is low identification efficiency and ill-conditioned data coming from the second iteration involved in the uncertainty propagation and surrogate model between the motor parameters and the performance response. …”
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Phase Response Identification of Photodetectors in High-Speed Interferometry Using Photoelectric Pseudorandom Signals by Yunke Sun, Yifei Xie, Xiaotong Yan, Xu Xing, Pengcheng Hu

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Seismic fault identification of deep fault-karst carbonate reservoir using transfer learning by Hanqing Wang, Han Wang, Kunyan Liu, Jin Meng, Yitian Xiao, Yanghua Wang

“…Traditional manual interpretation methods are often labor intensive and prone to high uncertainty due to their subjective nature. To address these limitations, this study proposes a transfer learning–based strategy for fault identification in deep fault-karst carbonate formations. …”
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Identification of Outer Galaxy Cluster Members Using Gaia DR3 and Multidimensional Simulation by Vishwas Patel, Joseph L. Hora, Matthew L. N. Ashby, Sarita Vig

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Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome by Nigel R M Tai, Evangelia Kyrimi, Jared M Wohlgemut, Zane B Perkins, William Marsh, Michael Christian, Erhan Pisirir, Rebecca S Stoner, Thomas Hurst

“…Background Hemorrhage is the most common cause of potentially preventable death after injury. Early identification of patients with major hemorrhage (MH) is important as treatments are time-critical. …”
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Efficient Identification Strategy of Isolation Valves to Maintain through Modularity-Based WDN Clustering by Amirabbas Mottahedin, Carlo Giudicianni, Bruno Brentan, Enrico Creaco

“…A general framework for assessing the efficiency of the identification strategy, which takes into account the uncertainties about location of failed valves and valve failure rates, is also proposed. …”
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“Managing Risks” versus “Taking Risks”: Revisiting an Underestimated Distinction between Managers and Entrepreneurs by Cristian DÎRVĂ, Anda Simona DÎRVĂ

“…The entrepreneur, having an unmistakable role in the structure of production (still marred by ambiguities in some parts of the business literature), has the same identification data, from “self-employed” (for tax purposes) to “joint stock” companies. …”
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