Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features by Yi Yang, Shuo Liu, Haitao Zhang, Dacheng Li, Ling Ma

“…To address this challenge, we propose a novel multi-modal image registration method, Cof-SIFT, which integrates a co-occurrence filter with SIFT. …”
Get full text

Multiaxial creep deformation investigation of miniature cruciform specimen for type 304 stainless steel at 923 K using non-contact displacement-measuring method by Hiyoshi Noritake

“…The multiaxial creep testing method using a cruciform specimen has several advantages, and the authors successfully downsized the specimen. …”
Get full text

Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

“…Although current deep learning-based red tide detection methods perform well in detecting single-day red tides, they struggle with continuous multi-day detection due to insufficient mining of temporal features and difficulties in accurately capturing dynamic variations, limiting further improvements in detection accuracy. …”
Get full text

Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method by Zi-Bin Li, Zi-Bin Li, Deng-Pan Qiao, Deng-Pan Qiao, Tian-Yu Yang, Tian-Yu Yang

“…IntroductionWith the depletion of shallow mineral resources and surging demand for deep mining, metal mines in China have generally entered the kilometer-depth mining stage, confronting challenges in stope stability caused by high ground stress, elevated rock temperatures, high seepage pressure, and intense mining disturbances (“three highs and one disturbance”).MethodsTaking the Dahongshan Copper Mine (800–1000 m depth) as a case study, this paper proposes an enhanced design methodology for structural parameters of deep open stopes to address the limitations of the traditional Mathews stability graph method in 3D mechanical characterization, dynamic evolution analysis, and model generalization.ResultsFirst, an improved stability graph model was developed by refining hydraulic radius calculations through cross-sectional collaborative analysis and establishing quantifiable zoning thresholds for span and exposure area based on geological variations between eastern and western ore sections. …”
Get full text

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

“…This work introduces a semi-supervised approach for detecting epileptic seizures from electroencephalography data based on a novel deep learning-based method called SincVAE. This method integrates SincNet, designed to learn an ad-hoc array of bandpass filters, as the first layer of a variational autoencoder, potentially eliminating the preprocessing stage where informative frequency bands are identified and isolated. …”
Get full text

Application of Modified Laplace Variational Iteration Hybrid Approach for Solving Time-Fractional Fourth-Order Parabolic PDEs by Mehari Fentahun Endalew, Xiaoming Zhang

“…This approach is essential for specifying the Lagrange multiplier without applying integration or convolution methods via recurrence relations. …”
Get full text

Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm by Abdelouaheb Boukhalfa, Yassine Bensafia, Khatir Khettab

“…Among the proposed designs, the integration of FAPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in DC motor and environmental conditions. …”
Get full text

Cultivating compassion in care: evaluating a compassion-training intervention and exploring barriers to compassionate care in postgraduate medical education in Pakistan: a mixed-me... by Marib Ghulam Rasool Malik, Sana Saeed, Bisma Aziz, Shahzil Abdur Rehman Malik, Syed Ahsan Ali, Fareed Shaikh, Shahzadi Resham, Amna Subhan Butt, Qamar Riaz

“…Methods This quasi-experimental mixed-methods study was conducted with first-year residents over a one-year period (November 2023 - October 2024). …”
Get full text

Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

“…This paper presents an enhanced methodology for modal analysis that combines Adaptive Variational Mode Decomposition (A-VMD) with Prony’s method. …”
Get full text

Investigation of the Thermo-Mechanical Modeling of the Manufacturing of Large-Scale Wire Arc Additive Manufacturing Components with an Outlook Towards Industrial Applications by Tim Fritschle, Moritz Kaess, Stefan Weihe, Martin Werz

Get full text

Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller by Yassine Bensafia, Abdelhakim Idir, Khatir Khettab

Get full text

A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

“…Three feature selection methods---ReliefF, Minimum Correlation, and Minimum Redundancy Maximum Relevance (MRMR)---are employed to identify the most relevant input variables from a dataset collected in the Ghardaia region. …”
Get full text

Deep plug-and-play denoising prior with total variation regularization for low-dose CT by Yinjin Ma, Yajuan Zhang, Lin Chen, Qiang Jiang, Fengjuan Shi, Biao Wei

“…We then train the DRBNet using a hybrid loss function combining L1 and multi-scale structural similarity (M-SSIM) losses, while regularizing the training with total variation (TV). After training, the DRBNet is integrated as a deep denoiser prior into a half-quadratic splitting-based method to solve the LDCT image denoising problem. …”
Get full text

A Systematic Review of the Advances and New Insights into Copy Number Variations in Plant Genomes by Saimire Silaiyiman, Jiaxuan Liu, Jiaxin Wu, Lejun Ouyang, Zheng Cao, Chao Shen

“…Copy number variations (CNVs), as an important structural variant in genomes, are widely present in plants, affecting their phenotype and adaptability. …”
Get full text

Nonlinear Dynamic Process Monitoring Based on Discriminative Denoising Autoencoder and Canonical Variate Analysis by Jun Liang, Daoguang Liu, Yinxiao Zhan, Jiayu Fan

“…In this article, we present a novel process monitoring approach, CVA-<i>DisDAE</i>, which integrates an improved Denoising Autoencoder (<i>DAE</i>) with Canonical Variate Analysis (CVA) to address the challenges posed by dynamic behaviors and nonlinear relationships in industrial processes. …”
Get full text

Localising loci underlying complex trait variation using Regional Genomic Relationship Mapping. by Yoshitaka Nagamine, Ricardo Pong-Wong, Pau Navarro, Veronique Vitart, Caroline Hayward, Igor Rudan, Harry Campbell, James Wilson, Sarah Wild, Andrew A Hicks, Peter P Pramstaller, Nicholas Hastie, Alan F Wright, Chris S Haley

“…Motivated by studies that demonstrate that loci contributing to trait variation may contain a number of different alleles, we have developed an analytical approach termed Regional Genomic Relationship Mapping that, like linkage-based family methods, integrates variance contributed by founder gametes within a pedigree. …”
Get full text

The Bayesian Gaussian mixture model with nearest-neighbor distance (BGMM-NND) algorithm: A new earthquake clustering method and its application to the Sichuan–Yunnan Block by JieYi Hou, Feng Hu, Yang Zang, LingYuan Meng

“…We propose a robust earthquake clustering method: the Bayesian Gaussian mixture model with nearest-neighbor distance (BGMM-NND) algorithm. …”
Get full text

Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang by FAN Zikang, WANG Chunxia, YU Jing, QIN Da, YANG Yuefa, WANG Hongxin

“…Classical statistical methods were used to analyze the correlations between indicators, and geostatistical methods were used to assess the spatial variation of each indicator. …”
Get full text

Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…The investigation of variation patterns of excavation safety factors, influenced by multiple modelling factors, is conducted through the utilization of a response surface design method in 46 experimental studies. …”
Get full text

Synergy and Effectiveness Evaluation of Carbon Policy and Government Subsidies: Variational Inequality Model Based on Supply Chain Network by Chao Wang, Hui Sun, Yuehu Wang

“…Numerical simulations were conducted with a modified projection algorithm, and the Borda method was applied to evaluate equilibrium outcomes, specifically production levels and emission reductions, under each policy combination, revealing synergies between policies. …”
Get full text