Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…The innovative dynamic loss function integrates a tempering index mechanism with tuneable parameters (α and γ), which assigns higher weights to underrepresented classes and down-weights easily classified samples. …”
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Modelling Temperature-dependent Schistosomiasis Dynamics for Single and Co-infections with S. mansoni and S. haematobium. by Zadoki Tabo, Lutz Breuer, Christian Albrecht

“…Schistosomiasis, a prevalent public health issue specifically in sub-Saharan Africa, is primarily attributed to Schistosoma haematobium and Schistosoma mansoni, often occurring concurrently. …”
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Coupling of Lagrangian Mechanics and Physics-Informed Neural Networks for the Identification of Migration Dynamics by Kirill Zakharov, Anton Kovantsev, Alexander Boukhanovsky

“…An essential aspect of any government in a smart city is to examine the issues of internal and external migration. Migration is a complex phenomenon. …”
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Analysis of a Comprehensive Mathematical Model for Leptospirosis Dynamics: An Optimal Control Application by Habtamu Ayalew Engida

“…Sensitivity analysis is conducted using a normalized forward sensitivity index to illustrate the impact of model parameters on disease dynamics. Furthermore, the effects of intervention strategies on the spread and overall impact of the epidemic are examined through the application of optimal control theory. …”
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Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG by Wenwen Chang, Wenchao Nie, Yueting Yuan, Yuchan Zhang, Renjie Lv, Lei Zheng, Guanghui Yan

“…Based on the brain signals, decoding and analyzing the gait features to make a reliable prediction of action intention are the core issues in the brain computer interface (BCI)-based hybrid rehabilitation and intelligent walking aid robot system. …”
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Improving Bus Operations through Integrated Dynamic Holding Control and Schedule Optimization by Shuozhi Liu, Xia Luo, Peter J. Jin

“…Passengers will suffer from the uncertainty of travel time and the excessive waiting time. Existing dynamic holding strategies to address bus bunching have two major limitations. …”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…This module, coupled with a task alignment predictor, facilitates both target classification and localization allocation, and the task decomposition is performed by dynamically computing task features through an attention mechanism, thereby reducing the number of parameters effectively and enhancing overall performance. …”
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A computational time integrator for heat and mass transfer modeling of boundary layer flow using fuzzy parameters by Muhammad Shoaib Arif, Wasfi Shatanawi, Yasir Nawaz

“…The Hartmann number, Eckert number, and reaction rate parameters are selected as fuzzified parameters in the dimensionless model of partial differential equations. …”
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Beam Dynamics Study on High Intensity Cyclotron for Boron Neutron Capture Therapy by JI Luyu, AN Shizhong, GUAN Fengping, WEI Sumin, BIAN Tianjian, XING Jiansheng, ZHENG Xia, XIE Huaidong, WANG Fei, WANG Zhe, HUANG Peng, CHEN Xinyu, LU Jinrong

“…This involved both static and dynamic trajectory calculations to ensure that meets isochronism conditions and avoids serious issues caused by resonance crossing, which could adversely affect beam stability and quality. …”

Dynamic monitoring and warning system for unstable rock collapse and its engineering application by Chen CHEN, Mowen XIE, Yan DU, Shuangquan LI, Zhengjun HUANG

“…Second, a “four-in-one” monitoring index system integrating static, dynamic, kinematic, and environmental parameters was developed. …”
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Exponential Synchronization for Stochastic Neural Networks with Mixed Time Delays and Markovian Jump Parameters via Sampled Data by Yingwei Li, Xueqing Guo

“…The exponential synchronization issue for stochastic neural networks (SNNs) with mixed time delays and Markovian jump parameters using sampled-data controller is investigated. …”
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Dynamics of cognitive functions in patients with hemoblastosis treated with hematopoietic stem cell transplantation by T. A. Kuznetsova, I. V. Grandilevskaya, I. Yu. Obidin

“…The aim of this study was to investigate the level and dynamics of memory and attention parameters in oncological patients undergoing hematopoietic stem cell transplantation.Material and methods. …”
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Adaptive Fuzzy Sliding Mode and Robust Tracking Control for Manipulators with Uncertain Dynamics by Sanxiu Wang

“…In response to the issue of the trajectory tracking control problem of manipulators with uncertain parameters and external disturbance, an adaptive fuzzy sliding mode robust control algorithm is proposed. …”
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Dynamic Response Characteristic of Building Structure under Blasting Vibration of underneath Tunnel by Ru He, Nan Jiang, Dong-Wei Li, Jian-Feng Qi

“…The vibration induced by blasting excavation of the subway tunnel in complex urban environments may cause harmful effects on adjacent buildings. Investigating the dynamic response of adjacent buildings is a key issue to predict and control blasting hazards. …”
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Management of virgin beech forests in Serbia and the dynamics of changes in their basic structural elements by Bratislav KISIN, Vladimir VASIĆ, Zvonimir BAKOVIĆ

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Reconstruction of downhole fluid dynamics: Performance comparison of multiple vortex tool types by Tianyue Guo, Bin Huang, Daye Wang, Cheng Fu, Yu Sui

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Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization by Xinhai Wang, Wenhua Shao

“…To effectively mitigate this issue, we propose an approach that leverages sensor networks to monitor real-time traffic data across road networks, enabling the precise characterization of traffic flow dynamics. …”
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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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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…The UMAP algorithm is employed for nonlinear dimensionality reduction, which not only integrates the dynamic response characteristics of drilling parameters but also preserves the sensitivity of logging data to lithological variations. …”
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Integrating Traffic Dynamics and Emissions Modeling: From Classical Approaches to Data-Driven Futures by Xin Wang, Xianfei Yue, Jianchang Huang, Shubin Li

“…Through a detailed examination of parameter requirements, data integration issues, and validation challenges, this study provides structured insights to guide the development of scientifically robust and operationally relevant emissions models tailored to the demands of increasingly complex and intelligent transportation systems.…”
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