Machine learning for early detection and severity classification in people with Parkinson’s disease by Juseon Hwang, Changhong Youm, Hwayoung Park, Bohyun Kim, Hyejin Choi, Sang-Myung Cheon

“…Key features—walking speed at PWS, stride length at HWS, and the coefficient of variation (CV) of the stride length at LWS—achieved a classification accuracy of 78.1% using the random forest algorithm. For early PD detection, the stride length at HWS and CV of the stride length at LWS provided an accuracy of 67.3% with Naïve Bayes. …”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

“…Experimental results show that the proposed algorithm provides a set of reliable samples for the training of classifier and achieves a promising improvement on classification accuracy.…”
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An Estimation Model on Electricity Consumption of New Metro Stations by Zhao Yu, Yun Bai, Qian Fu, Yao Chen, Baohua Mao

“…., passenger volume, air temperature and relative humidity). A genetic algorithm with five-fold cross-validation is used to optimize the hyper-parameters of the SVR model in order to improve its accuracy in estimating the electricity consumption of a metro station (ECMS). …”
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Machine learning potential predictor of idiopathic pulmonary fibrosis by Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke

“…To construct an IPF risk prediction model, we employed LASSO-Cox regression analysis and the SVM-RFE algorithm. PODNL1 and PIGA were identified as potential biomarkers associated with IPF onset, and their predictive accuracy was confirmed using ROC curve analysis in the test set. …”
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Development of an Aerial Manipulation System Using Onboard Cameras and a Multi-Fingered Robotic Hand with Proximity Sensors by Ryuki Sato, Etienne Marco Badard, Chaves Silva Romulo, Tadashi Wada, Aiguo Ming

“…To meet this requirement, an object detection algorithm to support accurate target localization by combining information from both cameras was developed. …”
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Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China by He Bing, Kong Bo, Yin Ling, Wu Qin, Hu Jinxing, Huang Dian, Ma Zhanwu

“…Finally, a frequent subgraph mining algorithm is used to extract the flow patterns of car tourists. …”
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Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS by Ji-sun Kwon, Jihye Kim, Dougu Nam, Sangsoo Kim

“…The huge number of hits by i-GSEA4GWAS for the imputed dataset was probably an artifact due to the scaling step in the algorithm. The decrease in hits by GSA-SNP for the imputed dataset may be due to the fact that it relies on Z-statistics, which is sensitive to variations in the background level of associations. …”
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A multigrained preference analysis method for product iterative design incorporating AI-generated review detection by Zhaojing Su, Mei Yang, Qingbo Zhai, Kaiyuan Guo, Yuexin Huang, Yangfan Cong

“…On the basis of the feature selection algorithm, a calculation method for the importance of product design features is proposed by introducing a random idea. …”
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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…In implementation, we introduce a merge-based octree generation strategy for ultra-large-scale datasets, and a rapid Hough transform-based algorithm for tunnel boundaries and axes extraction. …”
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Three-Dimensional Nonlinear Seismic Response of Immersed Tunnel in Horizontally Layered Site under Obliquely Incident SV Waves by Xiaojie Zhou, Qinghua Liang, Yueyu Zhang, Zhongxian Liu, Ying He

“…The nonlinear effects of external and internal site conditions on the whole model were determined by equivalent linearization algorithm and Mohr–Coulomb model, respectively. The proposed model was then applied to investigate the nonlinear seismic response of an immersed tunnel in the Haihe River subjected to seismic waves of oblique incidence. …”
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Robust H-Infinity Filter and PSO-SVM Based Monitoring of Power Quality Disturbances System by Prakash K. Ray, Harish Kumar Sahoo, Asit Mohanty, Javed Khan Bhutto, Abdulwasa Bakr Barnawi, Abdulmjeed Ali Alshaya

“…The validity of the classification analysis is reinforced by the inclusion of experimental data gathered from a prototype wind energy system and photovoltaic (PV) system setup. Again, Genetic algorithm (GA) is used for extracting optimal features and Particle swarm optimization (PSO) is applied for optimising the heuristic parameters of the SVM in order to improvise the classification accuracy under normal, noisy as well as increased penetration of wind and photovoltaic (PV) systems.…”
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Bioinformatics approach reveals the critical role of inflammation-related genes in age-related hearing loss by Xi Gu, Chenyu Chen, Yuqing Chen, Chaojun Zeng, Yanchun Lin, Ruosi Guo, Shujin Xu, Chang Lin

“…The ROC curve indicated that Alox5ap expression presented a high accuracy in distinguishing between different groups. By CIBERSORT algorithm, 8 humanized key IRDEGs were correlated with the infiltration abundance of 3 immune cells. …”
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Long-term impacts of agricultural greenhouse expansion on albedo, land surface temperature, and vegetation: Evidence from a typical province in China by Fangxin Chen, Cong Ou, Yue Chen, Xiaochuang Yao, Bowen Niu, Zhenbo Du

“…To fill this gap, we utilized multiple remote sensing data, time-series segmentation algorithm, and the Mann-Kendall test to analyze the spatiotemporal evolution patterns of AGs in Shandong Province, China from 2001 to 2018. …”
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Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter by Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

“…The DRF-FG showed robustness in trajectory tracking compared to the controllers based on the Ant Lion Optimizer (DRF-A) and the Whale Optimization Algorithm (DRF-W). DRF-FG improved the average regulation performance by 1.702% and trajectory tracking by 0.152% compared with DRF-G.…”
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Modelling and Estimation of Interior Orientation of Non-Metric Cameras using Artificial Intelligence by Hasanain A. Ajjah, Ahmed H H Alboabidallah, Mamoun U. Mohammed, Awesar A. Hussain

“…Optimization was performed by Utilizing the Simulated Annealing algorithm based on stereo calibration to obtain the best possible values of these parameters that produce the minimum RMS-reprojection error attained. …”
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Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles by Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu

“…The use of the pseudo-target reduces the dimensionality of the UAV’s observation state, thereby accelerating algorithm convergence. In addition, to solve the problem of the difficulty in determining the reconnaissance importance weights of multiple radars, a state-reward shaping equation combining the pseudo-target and real targets is designed. …”
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Optimization study of low-NOx combustion in boiler based on pulverized coal preheating solution by Lingfang Sun, Mengchao Xu, Yu Jia, Bingxue Zong, Guoliang Feng

“…Finally, considering the actual situation of coal-fired power plants, we used the beetle swarm optimization (BSO) algorithm on the basis of the three optimization objectives, and took the pyrolysis temperature and powder feeding frequency as the main input parameters of combustion optimization to optimize the combustion model. …”
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Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems by Johannes Rausch, Andreas Maier, Rebecca Fahrig, Jang-Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess

“…A Kinect camera is used to algorithmically remove overexposure artifacts close to the knee surface. …”
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A Secure and Efficient White-Box Implementation of SM4 by Xiaobo Hu, Yanyan Yu, Yinzi Tu, Jing Wang, Shi Chen, Yuqi Bao, Tengyuan Zhang, Yaowen Xing, Shihui Zheng

“…Although researchers have made great efforts to enhance security against DCA, most solutions considerably decrease algorithmic efficiency. In our approach, the Feistel cipher SM4 is implemented by a series of table-lookup operations, and the input and output of each table are protected by affine transformations and nonlinear encodings generated randomly. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…The validation results of RC beams under four-point bending loads show that the proposed algorithm can quickly estimate load levels based on numerical simulation results, and the mean absolute percentage error (MAPE) for load estimation based solely on a single measured structural crack image is 20.68%.…”
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