DETERMINATION OF WEAK EARTHQUAKE FOCAL MECHANISMS AND MODERN GEODYNAMICS OF SOUTHERN IRAN by Yu. L. Rebetsky, A. A. Lukk, R. E. Tatevossian, V. V. Bykova

“…This approach is based on a specific algorithm of the kinematic method developed by O.I. …”
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5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-Based Integrated Access and Backhaul by Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmstrom Olsson

“…In the case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing ubiquitous connectivity becomes challenging by using traditional wireless networks. …”
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Simulation and Test of a Fuel Cell Hybrid Golf Cart by Jingming Liang, Qifei Jian

“…This paper establishes the simulation model of fuel cell hybrid golf cart (FCHGC), which applies the non-GUI mode of the Advanced Vehicle Simulator (ADVISOR) and the genetic algorithm (GA) to optimize it. Simulation of the objective function is composed of fuel consumption and vehicle dynamic performance; the variables are the fuel cell stack power sizes and the battery numbers. …”
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Mimicking Multimodal Contrast with Vertex Component Analysis of Hyperspectral CARS Images by Joel T. Tabarangao, Aaron D. Slepkov

“…Using an atherosclerotic rabbit aorta test image, we show that the VCA algorithm provides pseudocolor contrast that is comparable to multimodal imaging, thus suggesting that under certain conditions much of the information gleaned from a multimodal nonlinear optical approach can be sufficiently extracted from the CARS hyperspectral stack itself. …”
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Image colorization based on transformer by Min Xu

“…By employing a deep architecture with stacked encoder-decoder layers, the model effectively captures intricate features, significantly improving its expressive capacity. …”
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Strain Redistribution Effect Based Composite Structured Sensor for Decouplable Tactile‐Strain Double‐Mode Perception by Hanning Wang, Xiaofei Liu, Da Chen, Zhanbo Zhang, Xinyu Ma, Hongchen Yu, Quanlin Qu, Huifang Wang, Fujie Cao, Tong Zhang, Yijian Liu

“…Herein, a strain redistribution effect (SRE) of composite structural mainframe fulfills the decouple double‐mode force‐sensitive perception by the aid of a lightweight algorithm. The CAD‐assisted design enables the dual‐mode sensing structure to be configured as a three‐layer stacked composite. …”
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Shining Lights on Limits: Optimizing Luminescent Solar Concentrators for Solar Windows by Thomas A. de Bruin, Wilfried G. J. H. M. van Sark

“…To optimize this trade‐off, a numerical algorithm is used to find the power conversion efficiency of 92 luminophores, ensuring an average visible transmission >55% and a color rendering index >70. …”
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Application of a dynamic optimization-based multi-attribute fusion method for fault detection. by Chen Ma, Handong Huang, Youcai Tang, Suo Cheng, Chao Wang, Xin Wang

“…Seismic attributes that were sensitive to different types of strike-slip faults were selected, and multiple attributes were merged to obtain a fracture distribution map using the best surface voting algorithm. …”
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Accurate and Efficient Computations of the Greeks for Options Near Expiry Using the Black-Scholes Equations by Darae Jeong, Minhyun Yoo, Junseok Kim

“…We propose a new adaptive time-stepping algorithm based on local truncation error. As a test problem for our numerical method, we consider a European cash-or-nothing call option. …”
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Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

“…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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Semi-supervised anchorless single-engine grip detection by Yun Shi, Gang Zhang, Min Kong, Jie Fang

“…Grasping specific objects in a stacked scene is a difficult task to achieve robot grasping. …”
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On developing a module for the stressFOAM solver of the OpenFOAM environment by Chitalov Dmitry

“…Each selected technology of the stack is justified, the architecture of the software product under development is determined. …”
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A Next-generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM,... by Tonmoy Deka, Tasneem Basra Khan, Swastik Dewan, Priyankush Ghosh, Debayan Das, Liton Majumdar

“…We present NEXOTRANS , an atmospheric retrieval framework that integrates Bayesian inference using UltraNest / PyMultiNest with four machine learning algorithms: Random Forest , Gradient Boosting , K-Nearest Neighbor , and Stacking Regressor . …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…Due to its capability to preserve past information, the LSTM algorithm was implemented as a time series forecasting model. …”
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基于Shannon熵的LCD-SVM方法在齿轮故障分类中的研究 by 李鹏宇, 邵忍平, 汪亚运

“…Local feature scale decomposition（Local characteristic scale decomposition,LCD）is a new adaptive time-frequency analysis method,which can adaptively decompose a complex signal into a number of ISC（Intrinsic scale component,ISC）components.SVM（support vector machine,SVM）is a kind of intelligent classification methods of machine learning,Shannon entropy is a nonlinear statistical learning methods.The LCD and SVM are introduced to the fault classification of mechanical transmission system.The Hilbert demodulation algorithm is used to strike the envelope signal of ISC components,through which the Shannon entropy is structured.After an in-depth analysis on the basis,it is combined with SVM in good relationship.The result is input vectors of SVM classifier,the trained SVM is used to determine the fault location,the type or degree of the test sample.Through the experimental analysis and verification,using this combining method,the recognition rate of four operating states which contains the normal state,the root crack of tooth,the wear of tooth surface,the composite fault is up to 97.5%.…”
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An Analysis of Image Classification Using Wavelet-Based Autoencoder Architecture and Extreme Learning Machine by Salwa Said, Salima Hassairi, Siwar Yahia, Ridha Ejbali, Mourad Zaied

“…The results clearly demonstrate that the Deep Stacked Wavelet AE (DSWAE) and DSSWAE algorithms outperform the State-of-the-Art (SOTA) techniques in terms of accuracy efficiency, emphasizing their significant potential for a wide range of image classification applications.…”
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Real-Time Ton/Toff adjustment and fault prediction in high-voltage IGBT serial switch for pulsed power applications by Sylwester Bułka

“…Preliminary results obtained from the prototype system indicate that it is feasible to develop an algorithm that exhibits desirable trends in adaptive regulation, supporting the overall concept of closedloop switching control in stacked HV structures.…”
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Power Generation Prediction Method of Offshore Wind Turbines Based on Cascaded Deep Learning by Zhen’ao Sun, Zhe Chen

“…Using deep belief networks, stacked autoencoding networks, and long short-term memory networks, a cascaded deep learning method is proposed to predict the power generation of offshore wind turbines. …”
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A Deep Reinforcement Learning-Based Cooperative Guidance Strategy Under Uncontrollable Velocity Conditions by Hao Cui, Ke Zhang, Minghu Tan, Jingyu Wang

“…This method employs the multi-agent proximal policy optimization (MAPPO) algorithm to construct a continuous action space framework for intelligent cooperative guidance. …”
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A Low-cost Controller Software Scheme Design Based on TMS320F28377D by FU Jianguo, LI Yi, LI Cheng, ZHOU Bin

“…It utilizes the dual-core feature of TMS320F28377D and hardware protocol stack chip to realize Ethernet communication, so that one core realizes motor algorithm control, and the other one completes functions such as logic program control, waveform monitoring, fault recording and external communication. …”
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