Machine-Learning Assisted Prediction of Spectral Power Distribution for Full-Spectrum White Light-Emitting Diode by Jiajie Fan, Yutong Li, Irena Fryc, Cheng Qian, Xuejun Fan, Guoqi Zhang

“…This paper proposes a dynamic SPD prediction method for the full-spectrum white LED by integrating the SPD decomposition approach with the artificial neural network (ANN) based machine learning method. …”
Get full text

MixRformer: Dual-Branch Network for Underwater Image Enhancement in Wavelet Domain by Jie Li, Lei Zhao, Heng Li, Xiaojun Xue, Hui Liu

“…Experiments show that the model outperforms mainstream methods in color restoration and detail enhancement, while optimizing computational efficiency.…”
Get full text

Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen, Xiaoguang Xu

“…The widely adopted linear mixing model enables the decomposition of mixed pixels into constituent endmembers, effectively bridging spectral resolution gaps by retrieving the spectral properties of individual land cover types. …”
Get full text

Numerical Investigation on Gas Production Performance in Methane Hydrate of Multilateral Well under Depressurization in Krishna-Godavari Basin by Xin Xin, Si Li, Tianfu Xu, Yilong Yuan

“…One of the key points in improving the gas production effectiveness of depressurization is whether pressure gradient could transmit in strata effectively. Single well method is widely used in hydrate exploit which is circumscribed in expanding the range of hydrate decomposition. …”
Get full text

Improving Deep Learning for Forecasting Accuracy in Financial Data by Shih-Lin Lin, Hua-Wei Huang

“…The proposed method combines deep learning with empirical mode decomposition (EMD) to understand and predict financial trends from financial data. …”
Get full text

Fault Diagnosis of Oil Pumping Machine Retarder Based on Sound Texture-Vibration Entropy Characteristics and Gray Wolf Optimization-Support Vector Machine by Shutao Zhao, Ke Chang, Erxu Wang, Bo Li, Kedeng Wang, Qingquan Wu

“…Secondly, the K parameter of variational mode decomposition (VMD) was reasonably selected by the energy method, and then the vibration signal was decomposed to get modal components, and the permutation entropy was obtained from modal components. …”
Get full text

Study of the mechanical properties of double line pipelines under silty sandstone and pipeline coupling by Cun-dong Xu, Wen-hao Han, Jin-xi Xia, Jun-kun Nie, Jun Cao, Zhi-hang Wang

“…The results of the study show that the relative error between the intrinsic mode of the finite element model of the double-line pipeline and the frequency identified by the dispersion entropy variational mode decomposition (DVMD) method on the measured vibration signals is only 1.55%, which confirms the validity of the finite element model and the accuracy of the results. …”
Get full text

ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime. by Chotirawee Chatpattanasiri, Federica Ninno, Catriona Stokes, Alan Dardik, David Strosberg, Edouard Aboian, Hendrik von Tengg-Kobligk, Vanessa Díaz-Zuccarini, Stavroula Balabani

“…This study presents an integration of Proper Orthogonal Decomposition (POD)-based ROM with neural network-based ML models to predict Wall Shear Stress (WSS) in patient-specific vascular pathologies. …”
Get full text

HMSTNet: A Deep Learning Multimodal Approach for Personalized English Literature Recommendations by Xiaopeng Wang, Xue Liang

“…The complex nature of literary data poses challenges to k-Nearest Neighbors (kNN) and Singular Value Decomposition (SVD) whereas conventional methods show limited success in both context understanding and accuracy. …”
Get full text

Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
Get full text

Global, regional, and national burden and trends of prostate cancer in elderly from 1990 to 2021: results from global burden of disease 2021 by Yinghong Li, Mingjie Tang, Jun Shao, Shiwei Li, Yuhao Teng, Yuanyuan Xu, Peng Shu

“…Furthermore, this study employed a comprehensive analytical approach, including estimated annual percentage change (EAPC), decomposition analysis, and predictive modeling (Nordpred method). …”
Get full text

Magnitude, temporal trend and inequality in burden of neck pain: an analysis of the Global Burden of Disease Study 2019 by Fengshuo Xu, Xiangdong Zhang, Meng Yang, Qi Zhao, Qiusheng Wang, Jie Lian, Rong Zhang, Tianyun Chu, Zhaoxi Kou, Mingyu Zhao

“…Abstract Background This study aimed to comprehensively assess the magnitude, temporal trends, and inequalities associated with socioeconomic development in neck pain (NP) based on the Global Burden of Disease Study 2019. Methods An assessment of incidence and years of life with disability (YLD) at the global, regional, and country levels by age, sex and year was conducted for NP. …”
Get full text

Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis by Boqing Dong, Yuting Zhao, Jiale Wang, Cuinan Lu, Zuhan Chen, Ruiyang Ma, Huanjing Bi, Jingwen Wang, Ying Wang, Xiaoming Ding, Yang Li

“…This study aimed to reveal and predict the epidemiological characteristics of CKD.Methods Data from the Global Burden of Disease Study spanning the years 1990 to 2019 were employed to analyze the incidence, prevalence, death, and disability-adjusted life year (DALY) of CKD. …”
Get full text

Sleep duration and mental health in middle-aged and older adults: a study on gender differences by Jie Meng, Dan Li, Feng Sun, Lingling Tang, Jing Wang, Hui Li, Hui Li

“…A multiple linear regression model was adopted to analyze the effect of sleep duration on mental health, and then the Oaxaca-Blinder decomposition for linear model was used to further explore the effect of sleep duration on gender differences in mental health.ResultsThe scores of mental health scale of male and female participants were 12.16(4.19) and 12.53(4.31), respectively. …”
Get full text

Trends and regional disparities in maternal hypertensive disorders among women of childbearing age: a global burden of disease analysis from 1990 to 2021 by Jiayu Wang, Jingxuan Wang, Yu Guan, Jia Liang, Dongdong Tang, Tailang Yin, Lianghui Diao

“…We examined disparities across countries and Socio-Demographic Index (SDI) regions, analyzed the influence of demographic and epidemiological factors through decomposition analysis, and projected future trends in MHD burden through 2050 using a Bayesian age-period-cohort (BAPC) model. …”
Get full text

Epidemiological and demographic drivers of ischemic stroke attributed to high fasting plasma glucose from 1990 to 2021: findings from the 2021 global burden of disease study by Yanwen Dong, Yangyang Wang, Yangyang Wang, Xiaomei Lan, Xiaomei Lan, Huiyan Zeng

“…In different Socio-demographic Index (SDI) regions, we used the Age-Period-Cohort (APC) model to evaluate the impact of age, cohort, and period on Age-Standardized Mortality Rate (ASMR) and decomposition analysis to separate the contributions of population, aging, and epidemiological changes. …”
Get full text

Multimodal Medical Image Fusion in NSST Domain in Coupled Neural Systems by Vella Satyanarayana, P. Mohanaiah

“…The proposed method proves superior in merging MRI and PET brain image pairs through experimental testing of 48 pairs when evaluated against seven mainstream fusion methods including CNN-based and neuro-fuzzy models. …”
Get full text

Forecasting research of mixing uniformity of cerium chloride solution under microwave heating by Lv Chao, Liu Yanlong, Zhang Lu Lu

“…Microwave heating is an important method to prepare cerium oxide. In the study of cerium oxide prepared by microwave heating, the variation of the polarity factor inside the solution during heating was explored. …”
Get full text

Tracking 35 years of progress in metallic materials for extreme environments via text mining by Xin Wang, Anshu Raj, Yanqing Su, Shuozhi Xu, Kun Lu

“…Here we track the progress of metallic materials for extreme environments in the past 35 years using the text mining method, which allows us to discover patterns from a large scale of literature in the field. …”
Get full text

FDAE: Lightweight Privacy Protection Based on Face Detection and Image Encryption by Li You, Qianqian Liu, Shuai Li, Tianyu Yang

“…This approach achieves detection accuracies of 96.4% (Easy), 94.8% (Medium), and 90.3% (Hard) categories, representing improvements of 1.3%, 1.4%, and 4.8% over the baseline YOLOv7 model, respectively. Subsequently, a lightweight encryption method, which combines Logistic and PWLCM chaotic systems with DNA encoding, is applied to the detected facial regions. …”
Get full text