Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis by Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan

“…Integrative analysis of five GEO datasets identified CXCL14, MMP7, and MDK as core differentially expressed genes in the final predictive model. Using Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest, we constructed a logistic regression model with robust predictive performance, achieving an AUC of 0.92 in the training cohort and 0.89 in the validation cohort, with sensitivity of 88% and specificity of 85%. …”
Get full text

Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

“…Model performance was further validated using a separate dataset and assessed through metrics such as Root-Mean-Square Difference (RMSD), Mean Absolute Relative Difference (MARD), and Average Percentage Difference (APD). …”
Get full text

A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery by Yilin Li, Yuhao Wu, Jun Li, Anlai Sun, Naiqiang Zhang, Yonglou Liang

“…The LGBM model with GLCM features demonstrates significant improvements, achieving an overall accuracy (OA) exceeding 85% and an F1-Score (F1) of nearly 0.9 when validated with an independent CALIOP lidar Level 2 product. …”
Get full text

A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…Furthermore, a multimodal data synergy strategy integrating NIR spectroscopy with morphological features was proposed, and a classification model was constructed using a soft voting ensemble. …”
Get full text

Two-Generation Crossbreeding of White-Headed Suffolk and Small-Tailed Han Sheep: Heterosis, Sustainable Production Traits, and Morphological Features in Central China by Kai Quan, Jun Li, Haoyuan Han, Kun Liu, Huibin Shi, Huihua Wang, Meilin Jin, Wei Sun, Caihong Wei

Get full text

Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction by YANG Shuhan, SHEN Bin, HUANG Xiaoge

“…Additionally, PreNet was introduced to accurately predict the peak signal-to-noise ratio (PSNR) performance of reconstructed images by modeling feature distribution in detail-rich feature maps and utilizing multidimensional feature fusion and learning. …”
Get full text

Occlusion Removal in Light-Field Images Using CSPDarknet53 and Bidirectional Feature Pyramid Network: A Multi-Scale Fusion-Based Approach by Mostafa Farouk Senussi, Hyun-Soo Kang

“…To preserve efficiency without sacrificing the quality of the extracted feature, our model uses separable convolutional blocks. …”
Get full text

MATHEMATICAL MODELING OF FOURIER TRANSFORM IMAGING SPECTROMETER by N. K. Artioukhina, T. V. Klimovich, M. N. Kotov

“…Rational sequence of the main stages of modeling are proposed. SFTIS mathematical modeling is performed to optimize the features of the instrument.…”
Get full text

Verifying the Effects of the Grey Level Co-Occurrence Matrix and Topographic–Hydrologic Features on Automatic Gully Extraction in Dexiang Town, Bayan County, China by Zhuo Chen, Tao Liu

“…Thirdly, the trainset gully intersection over union (<i>IOU</i>), test set gully <i>IOU</i>, receiver operating characteristic curve (ROC), area under the curve (AUC), user’s accuracy, producer’s accuracy, <i>Kappa</i> coefficient, and gully <i>IOU</i> in the validation area were used to assess the performance of the models in each practice. The results show that the validated gully <i>IOU</i> was 0.4299 (±0.0082) when only the red (R), green (G), blue (B), and near-infrared (NIR) bands were applied, and solely combining the topographic–hydrologic features with the RGB and NIR bands significantly improved the performance of the models, which boosted the validated gully <i>IOU</i> to 0.4796 (±0.0146). …”
Get full text

SSMR-Net and Across Feature Mapping Attention are jointly applied to the UAV imagery semantic segmentation task of weeds in early-stage wheat fields by Xinyu Mei, Changchun Li, Yinghua Jiao, Guangsheng Zhang, Longfei Zhou, Xifang Wu, Taiyi Cai

“…To address this challenge, this study combines Across Feature Mapped Attention (AFMA) with a proposed SSMR-Net model based on an improved U-Net architecture to improve weed identification. …”
Get full text

Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer&#x2019;s Disease Detection by Najmul Hassan, Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…However, existing approaches face challenges in achieving good performance due to difficulties in capturing complex spatial features and handling high-dimensional data. …”
Get full text

Enhancing concrete strength for sustainability using a machine learning approach to improve mechanical performance by Amir Khan, Aneel Manan, Muhammad Umar, Mudassir Mehmood, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

“…Among the models tested, XGBoost demonstrated the best performance, achieving test R2 values of 0.86 for Fc and 0.88 for STS, with RMSEs of 8.32 MPa and 0.55 MPa, respectively. …”
Get full text

Restricted Boltzmann machine with Sobel filter dense adversarial noise secured layer framework for flower species recognition by Shyamala Devi M, Sundaravadivazhagan Balasubaramanian, Balasubramaniam S, Mohd Asif Shah

“…The RBMCV Flower images are trained with SRB-VGG FCL model, SRB-VGG Dense model and the performance analysis was done. …”
Get full text

Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…To enhance performance, critical data preprocessing steps were undertaken, which involved feature scaling, cleaning, and normalization. …”
Get full text

Mamba-UAV-SegNet: A Multi-Scale Adaptive Feature Fusion Network for Real-Time Semantic Segmentation of UAV Aerial Imagery by Longyang Huang, Jintao Tan, Zhonghui Chen

“…The network integrates a Multi-Head Mamba Block (MH-Mamba Block) for enhanced multi-scale feature representation, an Adaptive Boundary Enhancement Fusion Module (ABEFM) for improved boundary-aware feature fusion, and an edge-detail auxiliary training branch to capture fine-grained details. …”
Get full text

Machine learning-based seismic response forecasting using feature mapping algorithms and scientometric analysis of nailed vertical excavation in a soil mass by Surya Muthukumar, Dhanya Sathyan, Premjith B, Sanjay Kumar Shukla

“…The ML algorithms, RBF kernel and random Fourier features consistently delivered strong performance pairing with linear regression algorithm. …”
Get full text

Seismic Response Analysis and Connection Performance Evaluation of a Hybrid Coupled PEC Wall System by Yun Shi, Mingzhou Su, Lu Jiang, Qiaoling Zhou, Lingyu Guan, Yukun Yang, Lili Zhang

“…Adopted finite element models are developed and validated against the available experimental results. …”
Get full text

Customer Attrition Detection Using the LGBM Model by Huang Jie

“…To select the most suitable model for accurately detecting customer churn, this study performs preprocessing, including data cleaning, feature engineering, and feature selection. …”
Get full text

Research of the application of hydrogen as a fuel to improve energy and environmental performance of gas turbine plants by M. M. Sultanov, E. V. Kuryanova

“…The article presents the results of the development of schemes of electric power plants with a capacity of up to 100 kW with a steam-generating hydrogen-oxygen plant for modeling and selecting effective options for thermal schemes of microgeneration power plants at the stage of design and development of energy systems. …”
Get full text

Economic and Social Aspects of the Space Sector Development Based on the Modified Structure–Conduct–Performance Framework by Michał Pietrzak

“…The review was structured by a modified Structure–Conduct–Performance framework originally developed by industrial organization (IO) scholars. …”
Get full text