Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks by Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar, Arindam Biswas, Hiroaki Satoh, Gurudas Mandal, Vitaliy Maksimenko, Victor Krishtop

“…This work investigates the application of artificial neural network (ANN)-based regression models to predict the static and dynamic characteristics of GaN impact avalanche transit time (IMPATT) sources in the terahertz (THz) frequency regime. …”
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From emissions to emotions: Exploring the impact of climate change on happiness across 140 countries by Jeremy Ko, Chun Kai Leung, Xiaoxian Chen, David A. Palmer

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Productive Capacities and the SDGs: Critical but Nuanced Relationships by David Tennant, Stuart Davies, Sandria N. Tennant, Patrice Whitely

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A Real-Time Polygonal Wheel-Rail Force Identification Method Based on Convolutional Neural Networks (CNN) by Zeteng Zhang, Jinhai Wang, Jianwei Yang, Dechen Yao

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Dynamic graph structure and spatio-temporal representations in wind power forecasting by Zang Peng, Dong Wenqi, Wang Jing, Fu Jianglong

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Numerical investigation and estimation method of leakage behaviour for hydrogen-blended natural gas in overhead pipelines by Zhang Ting, Xiong Guohua, Ma Hongqiang, Zeng Yue, Kang Huilun, Wu Jing, Cheng Xiaosong

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Integrating ANN and ANFIS for effective fault detection and location in modern power grid by Yadav Goutam Kumar, Kirar Mukesh Kumar, Gupta S.C., Rajender Jatoth

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A machine learning model for the computation of thermophysical properties of WCO biodiesel mixed with multiwalled carbon nanotubes by Hussain Syed Sameer, Ali Syed Abbas, Husain Dilawar, Sharma Manish

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Diagnostics of Mixed-State Topological Order and Breakdown of Quantum Memory by Ruihua Fan, Yimu Bao, Ehud Altman, Ashvin Vishwanath

“…In the concrete example of the two-dimensional (2D) Toric code with local bit-flip and phase errors, we map three quantities to observables in 2D classical spin models and analytically show they all undergo a transition at the same error threshold. …”
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Optimized Detection Algorithm for Vertical Irregularities in Vertical Curve Segments by Rong Xie, Chunjun Chen

“…Results indicate that regions with increased longitudinal profile detection errors are primarily located at and near gradient transition points. …”
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Diagnostics of Mixed-State Topological Order and Breakdown of Quantum Memory by Ruihua Fan, Yimu Bao, Ehud Altman, Ashvin Vishwanath

“…In the concrete example of the two-dimensional (2D) Toric code with local bit-flip and phase errors, we map three quantities to observables in 2D classical spin models and analytically show they all undergo a transition at the same error threshold. …”
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A New Explicit Solution to Particle Settlement Velocity by Ababu Teklemariam Tiruneh

“…Examination of individual errors also show the proposed method has lower percentage error compared to earlier proposed methods.…”
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Control System Design for a Ducted-Fan Unmanned Aerial Vehicle Using Linear Quadratic Tracker by Junho Jeong, Seungkeun Kim, Jinyoung Suk

“…Tracking control system based on linear quadratic (LQ) tracker is designed for a ducted-fan unmanned aerial vehicle (UAV) under full flight envelope including hover, transition, and cruise modes. To design the LQ tracker, a system matrix is augmented with a tracking error term. …”
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Research on the Time-varying Meshing Stiffness Algorithm of Spur Gears Based on an Improved Potential Energy Method by Xu Kejun, Jiao Wei, Qin Haiqin

“…There might be a large calculation error when the uniform gear model is used for calculation. …”
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DETECTION OF FAULT LOCATION ON THE POWER LINES 6–35 kV WITH UNILATERAL FEED by F. A. Romaniuk, M. A. Shevaldin

“…Analysis of the impact of the type of short circuit, transition resistance at the damaged point, errors of current transformers, load of the line, power and resistance of supply system, calculation errors of short-circuit currents at the beginning and at the end of the line on the performance of this algorithm is also performed. …”
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Hysteresis and Eddy Currents Effects Simulation in Idling Mode of the Transformer by Yarymbash D.S., Kotsur M.I., Yarymbash S.T., Divchuk T.Ye.

“…The design parameters errors of the power transformer in idle mode can reach 15-20%. or more, because engineering techniques disregard the all factors. …”
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Improved interacting multiple model algorithm airport surface target tracking based on geomagnetic sensors by Xinmin Tang, Wenjie Zhao, Shangfeng Gao

“…In this algorithm, the weighted sum of the mean values of the residual errors, which is used to reconstruct the model probabilistic likelihood function, and the Markov model transition probability are updated using posterior information. …”
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From hydraulic root architecture models to efficient macroscopic sink terms including perirhizal resistance: quantifying accuracy and computational speed by D. Leitner, A. Schnepf, J. Vanderborght

“…Our analysis rigorously investigates the errors introduced in each step during the transition from fine-scale mechanistic models, which considers the nonlinear perirhizal resistance around each root, to more macroscopic representations. …”
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Federated learning assisted distributed energy optimization by Yuhan Du, Nuno Mendes, Simin Rasouli, Javad Mohammadi, Pedro Moura

“…The results demonstrate that employing FL significantly reduces errors in predicting net power demand. The improved forecast accuracy, in turn, introduces less error in the distributed optimization process, thereby enhancing its convergence behaviour.…”
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Experimental Signatures of Hilbert-Space Ergodicity: Universal Bitstring Distributions and Applications in Noise Learning by Adam L. Shaw, Daniel K. Mark, Joonhee Choi, Ran Finkelstein, Pascal Scholl, Soonwon Choi, Manuel Endres

“…For an open system, where the environment is uncontrolled, we predict the statistics of observables under largely arbitrary noise channels including those with correlated errors, allowing us to discriminate between candidate error models both for continuous Hamiltonian time evolution and for digital random circuits. …”
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