Evolutionary analysis of slope direction deformation in the Gaojiawan landslide based on time-series InSAR and Kalman filtering. by Jingchuan Yao, Runqing Zhan, Jiliang Guo, Wei Wang, Muce Yuan, Guangyu Li, Bo Zhang, Rui Zhang

“…Subsequently, the combination of ascending and descending orbit data converts the landslide's line of sight (LOS) deformation into along-slope deformation. …”
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Risk assessment of tunnel water inrush based on Delphi method and machine learning by Leizhi Dong, Qingsong Wang, Weiguo Zhang, Yongjun Zhang, Xiaoshuang Li, Fei Liu

“…Training and test sample sets are constructed using engineering data from Qingdao metro tunnel construction. In the comparison with baseline models, the proposed model demonstrates the best accuracy and mean square error, which are 92.5% and 0.015, respectively. …”
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Feature Parameters Computation of Underground Coal Mining Space Coupled Probability Integral Model With SBAS-InSAR Subsidence Data by Yujie Wang, Jin Zhang, Yahong Liu

“…With the development of ground observation technology, noncontact localization of disordered goaf can be realized, which is the key to suppressing ground disasters and guiding government supervision. …”
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Bit Rate Optimization with MMSE Detector for Multicast LP-OFDM Systems by Ali Maiga, Jean-Yves Baudais, Jean-François Hélard

“…The new MMSE detector and the new related bit-loading algorithm are developed to enhance the ZF detector results. …”
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Online Autonomous Motion Control of Communication-Relay UAV with Channel Prediction in Dynamic Urban Environments by Cancan Tao, Bowen Liu

“…Comparative experiments and simulation results under different scenarios show that the proposed motion-control method can drive the UAV to reach or track the optimal relay position and improve the network performance, while demonstrating that it is beneficial to consider the impact of the environments on the channel characteristics.…”
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Non-Fault Detection Scheme Before Reclosing Using Parameter Identification for an Active Distribution Network by Zhebin Sun, Sileng A, Xia Sun, Shuang Zhang, Dinghua Liu, Wenquan Shao

“…Based on the response of the inverter of the distributed generation (DG) to the short-term low-frequency voltage disturbance to the line to be detected, this paper proposes a non-fault identification method for the distribution network before three-phase reclosing, based on model parameter identification. …”
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Research on High Arch Dam Deformation Monitoring Model with Deep Capturing Related Features in Factor-time Dimensions by XUE Jianghan, ZHANG Pengtao, TIAN Jichen, LU Xiang, CHEN Jiankang, Guo Yinju

“…DcTransformer model has greatly improved the overall deformation performance of DGS arch dam. …”
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Extra-High-Voltage DC-DC Boost Converters Topology with Simple Control Strategy by P. Sanjeevikumar, K. Rajambal

“…The technique is applied to DC-DC converter and a simplified control algorithm in this paper. …”
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Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments. by Janice Yang, Neil J Daily, Taylor K Pullinger, Tetsuro Wakatsuki, Eric A Sobie

“…Human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) have gained traction as a powerful model in cardiac disease and therapeutics research, since iPSCs are self-renewing and can be derived from healthy and diseased patients without invasive surgery. …”
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Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging by Sangjun Park, Cheol Hong Min, Eunjin Choi, Jeong-Sun Choi, Kyungjin Park, Seokyoung Han, Wonjun Choi, Hyun-Jong Jang, Kyung-Ok Cho, Moonseok Kim

“…Abstract Human cerebral organoids serve as a quintessential model for deciphering the complexities of brain development in a three-dimensional milieu. …”
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A Multi-Objective Decision-Making Method for Optimal Scheduling Operating Points in Integrated Main-Distribution Networks with Static Security Region Constraints by Kang Xu, Zhaopeng Liu, Shuaihu Li

“…With the increasing penetration of distributed generation (DG), integrated main-distribution networks (IMDNs) face challenges in rapidly and effectively performing comprehensive operational risk assessments under multiple uncertainties. …”
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Current state and prospects of development of energy-optimal control systems for 2ES6 electric locomotives by S. G. Istomin, K. I. Domanov, A. P. SHATOKHIN, I. N. Denisov

“…The research focuses on the current state and prospects of development of the systems of energyoptimal train driven by freight main line DC electric locomotives 2ES6. …”
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Adaptive Array Shape Estimation and High-Resolution Sensing for AUV-Towed Linear Array Sonar During Turns by Junxiong Wang, Xiang Pan, Lei Cheng, Jianbo Jiao

“…The deformation of the array shape during the turning process of an autonomous underwater vehicle (AUV)-towed line array sonar can significantly degrade its remote sensing performance. …”
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LiDAR-based Road Intrusion Detection Technology forAutonomous-rail Rapid Tram by LONG Teng, LIU Sisi, HU Yunqing, LI Xiaoguang, YUAN Xiwen, PAN Wenbo, LUO Yiping, YU Wentian

“…Point cloud data is de-noised by multi-key point iteration and multi-generation model using Ground Plane Fitting algorithm, and point cloud data with low noise and easy segmentation is returned. …”
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Rapid deployment method of integrated localization and communication network for high dynamic emergency scenarios by XU Lianming, ZHU Wendi, WANG Li, LIU Zhenyu, ZHANG Yuhao

“…Specifically, a virtual attractive force modeling method based on the gradient directions of communication and localization demands was designed, enabling dynamic UAV position adjustments driven by weighted communication and localization requirements. …”
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Study on Calculation of Cross-section Area of River Based on Analysis Method of Mid-point Distance Section by DANG Xicheng, LUO Yi, WANG Haiyan, LI Rong

“…The cross-section area is one of the key factors in flow measurement by velocity area method,and its calculation accuracy is directly related to the accuracy of flow measurement.Due to the complexity and diversity of the river section,the existing software algorithm cannot accurately judge the real position of the river flow through the large section data,resulting in the extraction error of the range of the cross section and the vertical depth.Therefore,with computer programming technology,this paper puts forward the analysis method of river mid-point distance section for identifying the position of river flow and judging the type of section,such as single section and compound section,extracting the water's edge and vertical line,and calculating the area.The application shows that the software can accurately analyze the river flow position under different hydraulic conditions by this method,and calculate the river cross-section area,achieving the purpose of algorithm design.This method can be widely used in automatic hydrological detection equipment or hydrological analysis software to improve the analysis ability of the equipment or software for cross-section flow area of river.…”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…This paper deeply analyzes the distribution characteristics of abnormal data and proposes a novel method for abnormal data cleaning based on a classification processing framework. …”
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Data‐driven observability analysis and enhancement for radome slope estimation with constraints on impact angle and terminal acceleration by Bingyu Jin, Kelin Lu, Yuping Lu

“…First, based on the generalised polynomial chaos expansion, a novel data‐driven observability analysis method is proposed to quantitatively analyse the observability of the radome aberration estimation system in real time, including the observability condition, the observability degree of each state and the effect of stochastic noises. …”
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Adaptive quadrilateral distance relaying scheme for fault impedance compensation by Patel Ujjaval J., Chothani Nilesh G., Bhatt Praghnesh J.

“…This paper presents a novel standalone adaptive distance protection algorithm for detection, classification and location of fault in presence of variable fault resistance. …”
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Deep Q-Learning-Based Resource Management in IRS-Assisted VLC Systems by Ahmed Al Hammadi, Lina Bariah, Sami Muhaidat, Mahmoud Al-Qutayri, Paschalis C. Sofotasios, Merouane Debbah

“…Moreover, the synergy between the MPF and the DQL algorithms is investigated. To this end, we demonstrate that the MPF algorithm maximizes the fairness amongst the users while the DQL algorithm maximizes the overall SE and improves the robustness against the noise. …”
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