Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…This paper proposed a flexibility regulation capability assessment method for hydropower systems to address low output in mid-term extreme forecast errors of renewable energy under extreme drought conditions. …”
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Fusing multiplatform topo-bathymetric point clouds based on a pseudo-grid model: A case study around Ganquan Island, South China sea by Fanlin Yang, Xiaolin Yu, Xiankun Wang, Xiaozheng Mai, Chunxiao Wang, Anxiu Yang, Dianpeng Su

“…Meanwhile, affected by factors such as registration error and sensor system error, there are data gaps in the registered point cloud, which hinders the subsequent reconstruction. …”
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Bayesian optimization and machine learning for vaccine formulation development. by Lillian Li, Sung-In Back, Jian Ma, Yawen Guo, Thomas Galeandro-Diamant, Didier Clénet

“…The cross-validation matrices of the models' predictions showed high R² and low root mean square errors, indicating their reliability. The prediction accuracy of models was further validated by using test datasets. …”
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An enhanced buck-boost converter for photovoltaic diagnosis application: Accurate MPP tracker and I-V tracer by Yassine Chouay, Mohammed Ouassaid

“…Furthermore, the system exhibits accurate tracing capabilities, with an average error of 1.44 % in case of normal operation. Similar errors are maintained even under diverse fault conditions, ranging from 0.77 % to 1.83 % for different faults including short-circuit, shunted panels, and connection faults. …”
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Strapdown inertial navigation system based on micromechanical sensors as a part of tank guided missiles by N.N. Borisov, M.Yu. Solodukhin, A.I. Godunov

“…The use of a statistical model of the dynamics of a guided missile with a freeform inertial navigation system as part of the control system showed that the maximum spatial error of the free-form inertial navigation system in range is realized at “not zero” of the linear acceleration sensor and is 110 m (1.7% of the flight range), and “not zero” of the angular velocity sensor gives an error of 57m (0.9%).…”

Estimation Algorithm for Vehicle Motion Parameters Based on Innovation Covariance in AC Chassis Dynamometer by Xiaorui Zhang, Xingyuan Xu, Hengliang Shi

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A Reduced-Order Fault Detection Filtering Approach for Continuous-Time Markovian Jump Systems with Polytopic Uncertainties by Lihong Rong, Xiuyan Peng, Biao Zhang

“…In addition, a performance index is given to enhance the robustness of the residual system against deficient transition information and external disturbance, such that the error between the fault and the residual is made as small as possible to reinforce the faults sensitivity. …”
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Dissecting mode-coupling theory for supercooled liquids by Ilian Pihlajamaa, Liesbeth M. C. Janssen

“…The mode-coupling theory (MCT) of the glass transition ranks among the most successful first-principles kinetic theories to describe glassy dynamics. …”
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Burned area detection based on time-series analysis in a cloud computing environment by J.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano

“…There are large omission errors in the estimation of burned area in map products that are generated at a global scale. …”
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Designing open quantum systems with known steady states: Davies generators and beyond by Jinkang Guo, Oliver Hart, Chi-Fang Chen, Aaron J. Friedman, Andrew Lucas

“…Moreover, given terms in the Lindbladian not compatible with the target state, our formalism identifies the operations – including syndrome measurements and local feedback – one must apply to correct these errors. Our methods also reveal new models of quantum dynamics: for example, we provide a “measurement-induced phase transition” in which measurable two-point functions exhibit critical (power-law) scaling with distance at a critical ratio of the transverse field and rate of measurement and feedback. …”
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Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance by Hamideh Norouzi, Mohammad Reza Daliri

“…Moreover, a notable increase was observed in the duration of microstate D, considering polarity during the memory interval, which could be related to the frontoparietal control network (FPCN). Notably, the transition probability (TP) from D+ to D‐ during the memory duration correlated with saccade errors, indicating a behavioral predictive capacity. …”
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Deep Learning-Based Multi-Floor Indoor Localization Using Smartphone IMU Sensors With 3D Location Initialization by Jin-Woo Kim, Yoan Shin

“…In particular, it achieved a localization error of 64 cm and up to 99.8% accuracy within a 2-meter threshold, proving the effectiveness and practicality of the proposed approach.…”
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Factors determining the timing of ice appearance on the Kama Reservoir by K. D. Mikova, V. G. Kalinin

“…This period is characterized by a decrease in the frequency of small forecast errors (< 4–5 days) and an increase in large errors (> 6–11 days) by 2–3 times; a forecast technique is proposed based on the separation of the studied correlations for years with different meteorological conditions in autumn (years with stable cooling and with heat returns). …”
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Computational Simulations and Strategies for Optimal Hydrogen Storage Materials Design by Vikram Mahamiya, Alok Shukla, Abhishek Kumar Adak, Hoonkyung Lee, Nicola Seriani, Ralph Gebauer

“…General computational strategies are reviewed, highlighting potential sources of error, such as neglecting zero-point vibrational energies, basis set superposition errors, and inaccuracies due to inappropriate density functionals. …”
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Dynamic deep learning based super-resolution for the shallow water equations by Maximilian Witte, Fabrício R Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow

“…Correctly capturing the transition to turbulence in a barotropic instability requires fine spatial resolution. …”
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Depth based: No Reference Stereoscopic Image Quality Assessment by S. Kiruthika, J. Joshan Athanesious, D. Rushma

“…Abstract The transition from 2 to 3D imaging marks a significant technological and conceptual leap across multiple domains, offering depth perception akin to real-world vision. …”
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Modelling cognitive decline in the Hypertension in the Very Elderly Trial [HYVET] and proposed risk tables for population use. by Ruth Peters, Nigel Beckett, Robert Beardmore, Rafael Peña-Miller, Kenneth Rockwood, Arnold Mitnitski, Shahrul Mt-Isa, Christopher Bulpitt

“…Cognitive states were defined in relation to errors on the Mini-Mental State Examination, with more errors signifying worse cognition. …”
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Multi-constrained dynamic power estimation of battery system in series connection considering cell inconsistency by HU Weifeng, PENG Simin, XU Zheng, XU Lu

“…Multiple lithium-ion cells are usually connected in series into a battery system in series connection, to meet the requirements of energy and voltage level for the rail transit equipment and electric vehicles. To solve the problem of inaccuracy in estimating state of power (<italic>SOP</italic>) due to cell inconsistency, this paper proposes a multi-constrained dynamic power estimation method based on a <italic>SOP</italic> errors predictor for the battery system in series connection was proposed. …”
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A digitally enhanced ripple emulated residual current mode dynamic on time controlled buck converter with fast transient response by Sivakumar Kumaraguruparan, Konguvel Elango

“…However, analog steady-state current control suffers from steady-state errors, frequency variation, and poor output voltage regulation. …”
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THE METHOD FOR PREDICTIVE ASSESSMENT OF THE CONDITION OF PATIENTS WITH ATOPIC DERMATITIS AT DIFFERENT STAGES OF THE DISEASE by Oleg Avrunin, Alexey Trubitcin, Viktoriia Klymenko

“…The prospect of further work is to substantiate the metrological characteristics of the method to eliminate possible systematic errors associated with the method of obtaining optical information.…”
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