VIBRATION MEASUREMENT METHOD OF WIND TURBINE BLADE BASED ON BINOCULAR PHOTOGRAM METRY by YAKUP AhMat, WANG WenYun, GULBAHAR TohTi, SUN Zhi, MAMTIMIN GeNi

“…binocular photogrammetry vibration measurement method for considering the radial and tangential distortion parameters calibration by using the Levenberg-Marquardt algorithm based nonlinear optimization was proposed. …”
Get full text

Adaptive control of single-input single-output hybrid systems possessing interacting discrete- and continuous-time dynamics by M. de la Sen

“…As a result there are also mixed continuous-time and discrete signals present in the system associated either with the solutions of differential equations which depend at the same time on both discrete-time and continuous-time forcing terms and on generalized difference equations associated with discretized and digital signals. The estimation algorithm is of a continuous-time nature since the plant parameter estimates are updated for all time. …”
Get full text

Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…The research is based on the consumer reviews of online cell phone e-commerce, The paper constructs a sentiment dictionary in this field based on the Sentiment Oriented Point Mutual Information (SO-PMI) algorithm, and the sentiment weight of the review word vectors. …”
Get full text

Distributed Arithmetic for Efficient Base-Band Processing in Real-Time GNSS Software Receivers by Grégoire Waelchli, Marcel Baracchi-Frei, Cyril Botteron, Pierre-André Farine

“…It then describes the already existing solutions and, from this, introduces a new algorithm based on distributed arithmetic.…”
Get full text

Artificial Intelligence in Fetal and Pediatric Echocardiography by Alan Wang, Tam T. Doan, Charitha Reddy, Pei-Ni Jone

“…Despite these promising advancements, challenges such as small number of datasets, algorithm transparency, physician comfort with AI, and accessibility must be addressed to fully integrate AI into practice. …”
Get full text

Research on Shortest Path Planning and Smoothing Without Obstacle Collision Based on Moving Carrier by Lingsong Di, Defeng Sun, Yahui Qi, Zhicai Xiao

“…In response to the challenges of path planning in complex scenarios, to overcome the influence of optimal path determination by the precision of grid map sizes, and to escape the uncertainty in solving by intelligent algorithms, this paper designs a method for obtaining an adjacency matrix based on node planning of shortest path diagrams with polygonal obstacles and then uses the Dijkstra algorithm to get the shortest path. …”
Get full text

Joint frequency and DOA estimation using spatial-temporal co-prime sampling with off-grid sources by Wang-han LYU, Hua-li WANG, Shan-xiang MU, Feng LIU

“…A method of joint frequency and direction of arrival (DOA) estimation using spatial-temporal co-prime sam-pling with off-grid sources was proposed to solve the problem of two-dimensional (2D) mismatches of signals.Firstly,the received signal was sampled by spatio-temporal co-prime sampling technique to construct 2D sparse reconstruction model with the filled coarray.Then the frequency mismatch term and angle mismatch term were incorporated into the re-ceived data model.Based on the above modified model,an improved greedy algorithm was presented to obtain the fre-quency mismatch and angle mismatch by estimating the spectrum leakage terms jointly.So the 2D off-grid sources can be corrected to accurate positions.The method can increase the degrees of freedom (DOF) in the space-frequency domain.Moreover,the method has reduced the amount of computation,and it can improve the frequency and DOA estimation accuracy in the meantime.Simulation results demonstrate the correctness and effectiveness of the proposed approach.…”
Get full text

Analysis of Farmer Relocation Selection Behavior Based on Bayesian Network by Song Li, Yanbo Guo

“…In the research process of migration direction, the research structure shows that 60.1% of farmers want to stay in the countryside, rather than migrate through Bayesian network algorithm. The results of regression analysis by establishing a multivariate logistic model show that there is a strong willingness to choose small towns and large cities. …”
Get full text

Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN by Zhen Tang, Xiaobin Fu, Pingping Xiao

“…Employing the deep neural network (DNN), an OP intelligent prediction algorithm is proposed. Then, the numerical simulations are conducted to confirm the ASEP and OP performance analysis. …”
Get full text

Lightweight and Efficient CSI-Based Human Activity Recognition via Bayesian Optimization-Guided Architecture Search and Structured Pruning by Sungkwan Youm, Sunghyun Go

“…Motivated by the need for accuracy and efficiency in resource-constrained environments, we combine Bayesian Optimization-based Neural Architecture Search (NAS) with a structured pruning algorithm. NAS identifies optimal network configurations, while pruning systematically removes redundant parameters, preserving accuracy. …”
Get full text

Comparison and Correction of Runoff Simulation Based on XGBoost and SWAT by LIANG Lisha, JIANG Xiaolei, HU Leyi, SHEN Jing, ZHANG Liping, FU Xiaolei

“…Based on the extreme gradient boosting (XGBoost) algorithm and soil and water assessment tool (SWAT) model, a runoff simulation model was constructed by using the observed hydrological data of Waizhou hydrological station in Ganjiang River Basin, and the simulation effects of the two models were compared. …”
Get full text

Stress Assessment of a Steel Bullet LPG Tank Under Differential Settlement Based on Geodetic Measurements and Sensitivity Analysis by Ferenc Tomasz, Gierasimczyk Rafał, Mikulski Tomasz

“…A numerical model of the structure and sand-gravel pillow is analysed using the finite element method, and the impact of variation in the stiffness of the sand-gravel pillow on the vertical displacement of the tank is determined. The algorithm involves six iterations of calculations, and after each iteration, the stiffness modified sand-gravel pillow is determined. …”
Get full text

Design of an Adaptive Distributed Critical-Care Extensive Response Network (AD-CERN) Using Cooperative Overlay Network by V. Akilandeswari, S. Mercy Shalinie

“…In this network, each node will be trained independently based on Naïve Bayes classification algorithm to react against any critical services in the network. …”
Get full text

An Integrative Approach to Accurate Vehicle Logo Detection by Hao Pan, Bailing Zhang

“…An enhanced Adaboost algorithm, together with two types of features of Haar and HOG, is proposed to detect vehicles. …”
Get full text

Stochastic Electric Vehicle Network with Elastic Demand and Environmental Costs by Jie Ma, Hua Wang, Tianpei Tang

“…The computational feasibility of the algorithm is tested in a large-scale network. Through a comparison analysis, we show the benefits of introducing EVs into the urban transportation network in the SUEED circumstance. …”
Get full text

Dynamic Performance Analysis of Semiactive Vehicle ISD Suspension Based on the Power-Driven-Damper Strategy by Yujie Shen, Jinsen Wang, Fu Du, Xiaofeng Yang, Yanling Liu, Long Chen

“…Then, the parameters of the two models are optimized by the particle swarm optimization algorithm, and the optimization results show that the suspension S3 has better performance. …”
Get full text

Automatic Lane Line Detection System Based on Artificial Intelligence by Gaoqing Ji, Yunchang Zheng

“…Compared with other algorithms, it is significantly improved in detection accuracy and real-time performance. …”
Get full text

Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

“…Interestingly, our experiment shows that the Random Forest algorithm yields an accuracy of 0.97, which justifies our methodology. …”
Get full text

Crankshaft Wear Fault Detection Method for Welding Robot Reducer based on Belief Rule Base Inference by Xiaobing Wang, Xu Weng, Zhuangzhuang Zhao, Yu Hu, Tianzhen Wang, Xiaobin Xu, Jianning Li

“…After the input signals are online obtained， the evidential reasoning （ER） algorithm is used to fuse the belief rules activated by inputs to obtain a belief distribution about the fault levels， and the degree of the crankshaft wear is evaluated by the distribution. …”
Get full text

Heston-GA Hybrid Option Pricing Model Based on ResNet50 by Zheng Yang, Liqin Zhang, Xiangxing Tao, Yanting Ji

“…Based on the optimization of Heston model parameters by genetic algorithm (GA), ResNet50 model is used to correct the deviation between market option price and Heston price, so a new hybrid option pricing model is established based on the empirical research on the European call options of Huatai-PB CSI 300ETF (code 510300), Harvest CSI 300ETF (code 159919), and SSE 50ETF (code 510050). (3) Results. …”
Get full text