Detecting Anomalies in Hydraulically Adjusted Servomotors Based on a Multi-Scale One-Dimensional Residual Neural Network and GA-SVDD by Xukang Yang, Anqi Jiang, Wanlu Jiang, Yonghui Zhao, Enyu Tang, Zhiqian Qi

“…Finally, an abnormal detection model for the hydraulically adjusted servomotor was constructed by optimizing the support vector data domain based on this feature set using a genetic algorithm. …”
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Heterogeneous Multi-Agent Task Planning Method in Complex Marine Environment by Shoumin Wang, Ning Niu, Zhichao Wang, Yaxuan Lv, Jing Zhang

“…The task allocation framework combines the proximal policy optimization algorithm with experience replay to train an Actor network, ensuring stable iterative updates of task allocation policies toward high-reward directions. …”
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Mathematical modeling of the forecast and standby heating modes by V. A. Tarasov, V. V. Tarasova, V. V. Afanasyev, V. G. Kovalev, V. N. Orlov

“…The adaptive control algorithm allows setting the calculated outdoor temperature and the desired internal air temperature at any time. …”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…Additionally, we have constructed a Parallel Convolutional Spatiotemporal Network (PCSN) by integrating Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Bidirectional Long Short-Term Memory (Bi-LSTM) modules. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…Finally, we enhance the individual sparrow position update process by integrating a cosine strategy with an inertia weight adjustment, which improves the algorithm’s global search ability, effectively balancing global search and local exploitation, and reducing the risk of local optima and insufficient convergence precision. …”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

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Operators of potential type in problems of applied analysis by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Riskalenko, Elena Pavlovna Yartseva

“…In this case, the processing schemes that are associated with the practical implementation of the method set out in applications that in some cases can be much simpler and more efficient algorithms that are required for the implementation of integral representations of functions based on singular integrals. …”
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Szász–Beta Operators Linking Frobenius–Euler–Simsek-Type Polynomials by Nadeem Rao, Mohammad Farid, Shivani Bansal

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Leveraging momentum clustering and PID control for enhanced portfolio management by Ameiy Acharya, Saket Gupta, Krishna Kumba, Patri Upender

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ALGEBRAIC MODELS OF STRIP LINES IN A MULTILAYER DIELECTRIC MEDIUM by A. N. Kovalenko, A. N. Zhukov

“…The electrodynamic problem is reduced to an integral equation with respect to the current density on the strip conductor. …”
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Research on delay upper bound analysis based on network calculus for LEO satellite network by WANG Huizi, SUN Lei, WANG Jianquan, LIN Shangjing, WANG Zhuoqun, SUN Kewen

“…It’s essential to achieve reliable transmission by accurately characterizing the delay upper bound in space-air-ground integrated network (SAGIN). Based on deterministic network calculus and time-aware shaping (TAS) mechanism in time-sensitive networking (TSN), a delay upper bound analysis model for low earth orbit (LEO) satellites was constructed. …”
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Enhancing navigation control accuracy of guidance line drawing robot by dual antenna GNSS and MEMS IMU by Ziyang Liu, Weigang Pan

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Adaptive Disturbance Rejection Motion Control of Direct-Drive Systems with Adjustable Damping Ratio Based on Zeta-Backstepping by Zhongjin Zhang, Zhitai Liu, Weiyang Lin, Wei Cheng

“…An integral sliding mode observer (ISMO) was constructed to estimate and compensate for residual uncertainties, achieving finite-time state estimation. …”
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DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding by Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh

“…Backpropagation is the foremost prevalent and common algorithm for training conventional neural networks with deep construction. …”
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A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning by Jieling Wang, Yanfei Liu, Chao Li, Dongdong Yang, Qingshan Yin

“…Firstly, a non-cooperative adversarial scenario model is constructed, employing an improved snow melting algorithm (GPSAO-LSSVM) for radar threat pre-evaluation. …”
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Improved Super-Twisting Sliding Mode Control of a Brushless Doubly Fed Induction Generator for Standalone Ship Shaft Power Generation Systems by Xueran Fei, Minghao Zhou, Yingyi Jiang, Longbin Jiang, Yi Liu, Yan Yan

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Modeling Odd Nonlinear Oscillators with Fifth-Order Truncated Chebyshev Series by Daniele Ritelli, Giulia Spaletta

“…This is faced and solved by approximating the restoring force with its Chebyshev series truncated to order five; such a quintication approach yields a quinticate oscillator, whose associated time-integral can be inverted in closed form. Our solution procedure is based on the quinticate oscillator coefficients, upon which a second-order polynomial is constructed, which appears in the time-integrand of the quinticate problem, and whose roots determine the expression of the closed-form solution, as well as that of its period. …”
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Fault Diagnosis of Rolling Element Bearing Based on BiTCN-Attention and OCSSA Mechanism by Yuchen Yang, Chunsong Han, Guangtao Ran, Tengyu Ma, Juntao Pan

“…This paper proposes a novel fault diagnosis framework that integrates the Osprey–Cauchy–Sparrow Search Algorithm (OCSSA) optimized Variational Mode Decomposition (VMD) with a Bidirectional Temporal Convolutional Network-Attention mechanism (BiTCN-Attention). …”
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DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment by Zhenlan Dou, Chunyan Zhang, Xichao Zhou, Dan Gao, Xinghua Liu

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Optimization method of time of use electricity price considering losses in distributed photovoltaic access distribution network by Tianshou Li, Qing Xu, Weiwu Li, Xinying Wang, Zhengying Liu

“…Applying an improved imperialist competition algorithm this paper integrates Tent chaotic reverse learning to solve a multi-objective optimization model and obtain an optimized time of use electricity pricing plan. …”
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