History Matching of a Channelized Reservoir Using a Serial Denoising Autoencoder Integrated with ES-MDA by Sungil Kim, Baehyun Min, Seoyoon Kwon, Min-gon Chu

“…Improvement in the history matching performance resulting from denoising is also observed for ES-MDA algorithms combined with dimension reduction approaches such as discrete cosine transform, K-singular vector decomposition, and a stacked autoencoder. The results of this study imply that a well-trained SDAE has the potential to be a reliable auxiliary method for enhancing the performance of data assimilation algorithms if the computational cost required for machine learning is affordable.…”
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Global, regional and national burdens of alcoholic cardiomyopathy among the working-age population, 1990–2021: a systematic analysis by Zhongkai Wang, Changyong Wu, Bingqing Zhang, Huang Sun, Wenjie Liu, Yuan Yang, Ying Gu, Lifei Pu, Lihui Zheng, Suli Bao, Yihua Luo, Ruijie Li, Yunzhu Peng

“…Decomposition analysis quantifies the contributor of disease burden in ACM. …”
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Analysis of the epidemiological characteristics and environmental influencing factors of mycoplasma pneumonia in Wuhan, China based on multi-source spatiotemporal data by Yvtao Hua, Qingxiang Meng, Li Shen, Chen Wang, Ke Hu, Yaohua Yi, Yixuan Wang, Rui Xiao

“…Generalized Additive Model (GAM) and Partial Least Squares Regression (PLSR) model were used to quantitatively assess the impact of environmental factors. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…Our framework involves extracting multicepstral features followed by the application of diverse dimensionality reduction methods, such as Principal Component Analysis (PCA), Truncated Singular Value Decomposition (SVD), statistical feature selection (ANOVA F-value, Mutual Information), Recursive Feature Elimination (RFE), regularization-based LASSO selection, Random Forest feature importance, and Permutation Importance techniques. …”
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Global burden of asthma attributable to high body mass index in older adults 1990–2021 and prediction to 2050: An analysis of Global Burden of Disease Study 2021 by Zhikang Wang, MPH, Yifang Liu, PhD, Yilin Li, MPH, Qi Wang, PhD, Junan Liu, PhD

“…This study aimed to assess the spatial and temporal trends for asthma burden attributable to high body mass index in older adults from 1990 to 2021 and to project trends up to 2050. Method: We extracted data from the Global Burden of Disease Study 2021 for population aged over 60 years with asthma attributable to high BMI. …”
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PolSAR Forest Height Estimation Enhancement With Polarimetric Rotation Domain Features and Multivariate Sensitivity Analysis by Fu-Gen Jiang, Ming-Dian Li, Si-Wei Chen

“…First, we propose a multivariate sensitivity analysis (MSA) method, which uses four metrics to comprehensively assess the sensitivity of all polarimetric features to forest height across different dimensions and to perform feature selection. …”
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Environmental impact technology for life cycle assessment in municipal solid waste management by M.A. Budihardjo, I.B. Priyambada, A. Chegenizadeh, S. Al Qadar, A.S. Puspita

“…The analysis highlights include functional units, various life cycle assessment models (such as SimaPro and GaBi), life cycle impact assessment methods, impact categories, and alternative waste management methods. …”
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Using Graph-Enhanced Deep Reinforcement Learning for Distribution Network Fault Recovery by Yueran Liu, Peng Liao, Yang Wang

“…Experiments on the PG&E 69-bus system demonstrate that the proposed method significantly outperforms existing DRL baselines. …”
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Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada by Ahmad Mohsenimanesh, Evgueniy Entchev

“…The charging strategies are based on predicted load utilizing a hybrid machine learning (ML) approach to reduce overall charging in peak periods. The hybrid ML method combines similar day selection, complete ensemble empirical mode decomposition with adaptive noise, and deep neural networks. …”
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Deaths burden of laryngeal cancer attributable to occupational exposure in the male working age population: findings from global burden of disease study 2021 by Donghai Wang, Sen Yang, Wenxing Yu, Zixuan Tang, Qin Wang, Mingzhu Fang, Chunyan Li

“…Decomposition analysis and Bayesian age-period-cohort (BAPC) models were applied to assess trends, drivers, and predict future trends to 2040. …”
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High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks by Shivam Tiwari, Deepak Arora, Barkha Bhardwaj

“…The results show how well machine learning methods and EEG feature extraction might diagnose sleep problems. …”
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Global, regional and national burden of HIV/AIDS among individuals aged 15-79 from 1990 to 2021 by Yuanfang Chen, An-Dong Li, Yizhou Yang, Jing Lu, Yu Xu, Xinyu Ji, Liting Wu, Lei Han, Baoli Zhu, Ming Xu

“…The transformation of HIV into a chronic condition, coupled with regional disparities and evolving epidemiological trends, necessitates an updated analysis of the disease burden. Methods We conducted a comprehensive analysis of HIV/AIDS burden among individuals aged 15–79 years from 1990 to 2021 using the latest data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 database. …”
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Global mortality, prevalence and disability-adjusted life years of Alzheimer’s disease and other dementias in adults aged 60 years or older, and the impact of the COVID-19 pandemic... by Dong-Ting Yu, Rui-Xuan Li, Jing-Ran Sun, Xue-Wen Rong, Xu-Guang Guo, Guo-Dong Zhu

“…All plots and tables were created using Joinpoint Regression model (Version 4.8.0.1), StataMP 18, and R statistical packages (Version 4.4.1). …”
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Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review by Ikram Bagri, Karim Tahiry, Aziz Hraiba, Achraf Touil, Ahmed Mousrij

“…Examination of the processing phase revealed that time scale decomposition methods have become essential for accurate analysis of vibration signals, as they facilitate the extraction of complex information that remains obscured in the original, undecomposed signals. …”
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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

“…It outperforms prior state-of-the-art methods in 5 of 14 disease categories.DiscussionThis investigation establishes that joint modeling of dynamic disease correlations and wavelet-optimized feature representation significantly enhances multi-label diagnostic capabilities. …”
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Unveiling the photocatalytic activity of Cu/Fe2O3@gC3N4 nanosheet as an efficient fenton-like catalyst for reactive blue 19 removal: Optimization and kinetics studies by Donald Raoul Tchuifon Tchuifon, Cyrille Ghislain Fotsop, Sandrale Grace Mokue Mafo, Frank Dorinel Solefack Feudjio, Sanchez Dave Mouafo Dongmo, Nche George Ndifor-Angwafor

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Land use/land cover (LULC) classification using hyperspectral images: a review by Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees

“…Third, we explore traditional machine learning models and cutting-edge methods in this field, with a particular focus on deep learning, and spectral decomposition techniques. …”
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A Review of Battery Energy Storage Optimization in the Built Environment by Simone Coccato, Khadija Barhmi, Ioannis Lampropoulos, Sara Golroodbari, Wilfried van Sark

“…Highlighting the integration of batteries with renewable infrastructures, we explore multi-objective optimization strategies and hierarchical decomposition methods for effective battery utilization. …”
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POSSIBILITIES OF INCREASING THE EFFICIENCY OF PYROTECHNICAL GENERATORS OF ICE-FORMING AEROSOL by A. G. Shilin, B. M. Khuchunaev

“…In this work, the ways of increasing the efficiency of existing pyrotechnic generators and means of active influence are investigated. Materials and methods of the research. Laboratory experiments were carried out on the physical modeling of the combustion processes of pyrotechnic compositions under the inluence of various conditions. …”
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Burden of cataracts in developing countries: a trend analysis based on data from China, 1990 to 2021 by Cancan Zhang, Pingping Li, Lurun Yu, Lu Li

“…Joinpoint regression, decomposition analysis, and ARIMA modeling were employed to analyze trends and predict future disease burden.ResultsFrom 1990 to 2021, the number and crude rate for cataract related blindness and visual impairment increasing significantly in China. …”
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