Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…Meanwhile, in contemporary economics, topology is being used for high-dimension reduction, complex network construction, and structural data mining, combined with techniques of machine learning, and applied to high-dimensional time series and structure analysis in financial markets. …”
Get full text

Fluorescence Characteristics of Humic Acid in Chinese Black Soil under Long-Term Fertilization by Dan Wei, Yan Li, Shan-shan Cai, Liang Jin, Yu-mei Li, Wei Wang, Yang Bai, Yu Hu, Nicholas Clarke

“…Principal component analysis was performed to select the most suitable parameters for the description of humic acid. The dimension reduction for the original fluorescence parameters extracted two principal components. …”
Get full text

An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model by Kaikai Wang, Chun’an Tang, Ke Ma, Xintang Wang, Qiang Li

“…Then, combining with the microseismic data of Xiashinjie coal mine in Tongchuan, China, the feature dimension reduction is carried out by Manifold Learning (ML) method, and the processed feature vectors are automatically recognized by IBC-GMM. …”
Get full text

A Survey of SNP Data Analysis by Xiaojun Ding, Xuan Guo

“…For multiple-trait GWAS, we describe methods in terms of their employed regression models, dimension-reduction methods, and meta-analysis methods. …”
Get full text

Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning by Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang

“…., (a) through distinctively designed experimental technique with comprehensive consideration of cutting parameters and tool wear values as variables, (b) through bisensor fusion for simultaneous measurements of low and high frequency signals, (c) through multitheory fusion of wavelet decomposition and the Relief-F algorithm for performing dual feature extraction and feature dimension reduction to achieve more accurate state identification using neural network, and (d) through an innovative programming technique of MATLAB-nested labVIEW. …”
Get full text

Crude Oil Source Identification of Asphalt via ATR-FTIR Approach Combined with Multivariate Statistical Analysis by Ruibo Ren, Wenmiao Fan, Pinhui Zhao, Hao Zhou, Weikun Meng, Ping Ji

“…At first, by using PCA, the 12 CAPs in the IR spectra of asphalt samples were subjected to dimension reduction processing to control the variables of key factors. …”
Get full text

PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

“…The significance of feature dimension reduction is addressed by applying well-established approaches like Principal Component Analysis (PCA) and the proposed physics-driven feature creation technique. …”
Get full text

ReliefF guided variable spiral tuna swarm optimization algorithm with somersault foraging for feature selection by Yu-Cai Wang, Jie-Sheng Wang, Min Zhang, Hao-Ming Song, Jia-Ning Hou, Yu-Liang Qi, Yu-Wei Song

“…With the rapid development of high-throughput technologies, high-dimensional, multi-text and multi-classification data have become increasingly common, FS is considered as an effective method for dimension reduction. So a ReliefF guided variable spiral tuna swarm optimization (TSO) algorithm with somersault foraging was proposed to solve the FS problem. …”
Get full text

Fast Skyline Community Search in Multi-Valued Networks by Dongxiao Yu, Lifang Zhang, Qi Luo, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai

“…To improve computation efficiency, we then propose a dimension reduction based algorithm, called P-MICS, using the maximum entropy method. …”
Get full text

FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

“…The proposed architecture uses the Factor Analysis (FA) dimension reduction method to reveal hidden factors within the hybrid features of Android applications. …”
Get full text

Application of three statistical approaches to explore effects of dietary intake of multiple persistent organic pollutants on ER-positive breast cancer risk in the French E3N cohor... by Pauline Frenoy, Ismaïl Ahmed, Chloé Marques, Xuan Ren, Gianluca Severi, Vittorio Perduca, Francesca Romana Mancini

“…The second and third approaches applied in the present study were Principal component Cox regression (PCR-Cox) and partial least squares Cox regression (PLS-Cox) respectively, both being dimension-reduction methods (respectively unsupervised and supervised) coupled to a Cox model, used to identify principal components of POPs and to estimate their associations with ER-positive breast occurrence. …”
Get full text

Research on the evolution and prediction of the heights of water-conducting fracture zones in overlying rocks during layered mining of extremely thick coal seams by MENG Hailun, CHENG Xianggang, QIAO Wei

“…As the working face continued to advance, the horizontal fractures within the overlying rock layers were compacted by the layer above, the fracture aperture decreased, and the fractal dimension gradually reduced. ③ During layered mining, the fractal dimension of fractures generally exhibited four stages: ascending dimension stage, dimension reduction stage, stationary stage, and fluctuating stage. ④ The PSO-SVR model was evaluated using indicators including mean absolute error (MAE), mean bias error (MBE), and correlation index R2. …”
Get full text

A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises by Frank Imbach, Stéphane Perrey, Thomas Brioche, Robin Candau

“…Therefore, accounting for muscle fatigue kinetics within objective TL indexes and using dimension reduction methods better described physiological responses to RE. …”
Get full text

Mental health phenotypes of well-controlled HIV in Uganda by Leah H. Rubin, Leah H. Rubin, Leah H. Rubin, Leah H. Rubin, Kyu Cho, Jacob Bolzenius, Julie Mannarino, Rebecca E. Easter, Raha M. Dastgheyb, Aggrey Anok, Stephen Tomusange, Deanna Saylor, Maria J. Wawer, Noeline Nakasujja, Gertrude Nakigozi, Robert Paul

“…A clustering pipeline consisting of dimension reduction with UMAP followed by HBDScan was used to identify MH subtypes using total symptom scores. …”
Get full text

ROLLING BEARING FAULT DIAGNOSIS BASED ON UNIFORM DISTANCE LOCAL LINEAR EMBEDDING (MT) by GU Ye, CAI HouDao

“…In view of the shortcoming that the dimensivity reduction effect of local linear embedding（LLE） is greatly affected by the uniformity of sample distribution, the uniform distance is designed to replace the Euclidean distance in LLE, so the uniform distance local linear embedding（UDLLE） method is proposed, and the effectiveness of UDLLE is verified by typical curves. …”
Get full text