Near-field extremely large-scale MIMO data rate prediction based on deep learning by Guozhi Rong, Rugui Yao, Yifeng He

“…This study utilized the CsiNet-LSTM (Long Short-Term Memory) model to realize the channel capacity prediction. This method combined the efficient CSI compression technique of CsiNet model with the temporal prediction capability of LSTM network, which could more accurately capture the dynamic characteristics of near-field extremely large-scale MIMO channels, thereby improving the accuracy of channel capacity prediction. …”
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A Through-the-Wall Radar Imaging Method Based on a Realistic Model by Tian Jin, Alexander Yarovoy

“…An image focusing method based on a realistic model for a wall is proposed for through-the-wall radar imaging using a multiple-input multiple-output array. …”
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Comminution Flowsheet Energy Requirements of a New Narrow-Vein Mining Method by Judith George, Allan Cramm, Stephen Butt

“…A safe, mechanized, efficient, and sustainable method can be invaluable to operators looking to develop narrow-vein mineral resources. …”
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Lightweight joint source-channel coding method based on MIMO-CSI prediction by YU Chuangyu, XU Yanyan, PAN Shaoming

“…However, in resource-limited environments such as vehicular networks or unmanned aerial vehicles, existing methods struggle to adapt to the dynamic characteristics of multiple-input multiple-output (MIMO) channels and are challenging to deploy due to their large model size. …”
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Safety–Efficiency Balanced Navigation for Unmanned Tracked Vehicles in Uneven Terrain Using Prior-Based Ensemble Deep Reinforcement Learning by Yiming Xu, Songhai Zhu, Dianhao Zhang, Yinda Fang, Mien Van

“…Ensemble SAC uses multiple policy networks to effectively reduce the variance of DRL outputs. We combine the DRL actions with the DWA method by reconstructing the hybrid Gaussian distribution of both. …”
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ECO++: Adaptive deep feature fusion target tracking method in complex scene by Yuhan Liu, He Yan, Qilie Liu, Wei Zhang, Junbin Huang

“…Efficient Convolution Operator (ECO) algorithms have achieved impressive performances in visual tracking. …”
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Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…Therefore, performing variable selection to identify influential inputs becomes crucial for minimizing the number of necessary model evaluations, particularly when dealing with complex systems exhibiting nonlinear and poorly understood input–output relationships. As a result, it is desirable to use fewer samples to determine the influential inputs to achieve a simple, more efficient optimization process. …”
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TinySurveillance: An Extra Low-Power Event-Based Surveillance Method for UAVs by Arash Farahdel, Alimul H. Khan, Hossein Keshmiri, Khan A. Wahid

“…In this work, an application of wildfire detection and surveillance has been implemented to show the proof of concept of the TinySurveillance method. The results show that the power consumption of the onboard processing unit in detection mode reduces by at least 4 times; during the surveillance mode, the data transmission rate can be decreased by almost 66% while achieving a competent image quality PSNRAvg of 41.35 dB, PSNR of 30.94 dB, and output frame rate of 5.2.…”
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Analysis and Design of CMOS Doherty Power Amplifier Based on Voltage Combining Method by Chenxi Zhao, Huihua Liu, Yunqiu Wu, Kai Kang

“…The series combining transformer is analyzed for impedance modulation behavior, and we have provided the design method. The proposed Doherty PA achieves a maximum output power of 27.6 dBm at 1.75 GHz with a peak power added efficiency (PAE) of 35.2% at 3.4 V supply voltage. …”
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Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

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Method of terminal control in ascent segment of unmanned aerial vehicle with ballistic phase by N. Y. Polovinchuk, S. V. Ivanov, M. Y. Zhukova, D. G. Belonozhko

“…The attainment of these boundary conditions determines the further transition to the ballistic flight phase.Materials and Methods. Bellman’s principle of dynamic programming is the most reasonable from the point of view of the implementability of the computationally efficient on-board algorithms and the solution to the problems in the form of synthesis. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…The method proposed in this paper is compared with several deep learning networks. …”
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Efficiency of the healthcare system and the impact of smoking bans: a DEA analysis of the Guangdong-Hong Kong-Macau Greater Bay Area in Asia by Xiaoyu Wu, Shuyang Wang, Yulong Tang, Jiabi Wang, Jinghua Zhang, Jinghua Zhang

“…Specifically, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has offered a unique opportunity to study the link between smoking control and healthcare system efficiency.Materials and methodsBased on the input and output data from healthcare systems across 11 cities in the GBA between 2010 and 2019, a two-stage output-oriented Data Envelopment Analysis (DEA) was employed to assess healthcare efficiency. …”
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A Parametric Six-Step Method for Second-Order IVPs with Oscillating Solutions by Dimitris F. Papadopoulos

“…The results guided us in identifying these optimal values and confirm the high efficiency of the new method. The method’s efficiency is further validated for the chosen optimal parameter value for specific oscillatory problems, where it is compared with well-known phase-fitted methods.…”
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Introducing a Method for Backflow Detection in Lobe Blowers through Ultrasonic Technique by Ali Monazami, Somaye Mohammadi, Mehdi Behzad

“… In sponge iron production plants utilizing the direct reduction method, it is very common to use lobe blowers to transfer process gas. …”
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A new method to improve 5G coverage of urban grid roads by Yejiang ZHANG, Jie CHEN, Jian HU, Xiaokang YANG, Yun LU, Teng LIANG

“…Urban grid road is an important use scenario for mobile communication users.Compared with other static scenes, UE mobility on the road leads to relatively poor customer perception.The traditional urban grid road test optimization has some pain points, such as incomplete regulation, low optimization efficiency, repeated work orders, no focus and so on.A new method to improve 5G coverage of urban grid roads was proposed.The proposed method introduces the concept of problem circle, realizes the effective aggregation of sporadic test problem points, and uses“aggregation degree” and “repetition degree” to quantitatively identify the priority of test problems.By introducing the concepts of “ideal azimuth” and “appropriate cell”, the method of the optimal coverage cell of the problem circle was proposed, which can effectively output the optimization scheme of the problem circle.This method has been deployed in the current network and effectively supports the test and optimization of urban grid roads.The 5G coverage rate has increased from 89.95% to 98.86%.…”
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Comparative Analysis of Pretreatment Methods for Processing Bulk Flax and Hemp Oilseeds Under Uniaxial Compression by Abraham Kabutey, Sonia Habtamu Kibret, Asmerom Woldemichael Kiros, Meseret Abraham Afework, Michael Onwuka, Akshay Raj

“…Tukey’s significance test showed that the means of oil yield and energy of bulk flax and hemp oilseeds under the oven and vacuum pretreatments revealed no significant difference implying that both pretreatment methods can initiate the same heat treatment effect on oil extraction efficiency with the corresponding energy requirement.…”
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RESEARCH ON PERFORMANCE OPTIMIZATION METHOD OF MECHANICAL PARTS BASED ON CAD/CAE INTEGRATION by WU Qiang, LIU FuYun, HU RuKai, YU HanHong

“…Aiming at the problems of low efficiency, long cycle and difficulty in quality assurance in product design faced by most manufacturing enterprises, performing research on parameterized CAD and CAE technology, as well as the data transmission between software CAD and CAE, a general design method for optimizing the performance parameters of mechanical parts based on CAD/CAE integration was proposed. …”
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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

“…DQN method takes the Q value at the current position as the output of the network model and uses ε-greedy strategy for action selection. …”
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