Prediction Model for the Chloride Ion Permeability Resistance of Recycled Aggregate Concrete Based on Machine Learning by Pengfei Gao, Yuanyuan Song, Jian Wang, Zhiyong Yang, Kai Wang, Yongyu Yuan

“…Based on the XGBoost model, the LIME method was adopted to solve the interpretability problem in the prediction process. The importance ranking of IFs on the electric flux was <i>r</i> > <i>t</i> > <i>f</i> > <i>T</i> > <i>L</i> > <i>YN</i>. …”
Get full text

Design optimization of a lightweight secondary mirror assembly for a 1-m class ground telescope for satellite laser ranging by Jaehyun Lee, Kisoo Park, Eui Seung Son, Suseong Jeong, Do-Won Kim, Han-Gyol Oh, Pilseong Kang, Hyug-Gyo Rhee

“…Based on our design, the M2 was fabricated and processed, and we demonstrated its assembly process and surface quality test.…”
Get full text

Machine learning with label-free Raman microscopy to investigate ferroptosis in comparison with apoptosis and necroptosis by Joost Verduijn, Eva Degroote, André G. Skirtach

“…Abstract Human and animal health rely on balancing cell division and cell death to maintain normal homeostasis. This process is accomplished by regulated cell death (RCD), whose imbalance can lead to disease. …”
Get full text

Robot-Based Diver Safety Support Scenario and Concept Design for NADIA by Hyungjoo Kang, Gun Rae Cho, Hansol Jin, Min-Gyu Kim, Ji-Hong Li, Seongho Jin, Jungsoo Lee, Jeongtack Min

“…To implement these functions, design elements such as modularization and vector arrangement of propulsion units were derived. …”
Get full text

The role of cytokines in the pathogenesis of infectious complications in surgical treatment of obstructive jaundice of gallstone origin by O. V. Smirnova, N. G. Elmanova

“…In the pathogenesis of obstructive jaundice, a local inflammatory process plays an essential role. This is confirmed by statistically significant changes in the studied cytokines. …”
Get full text

High expression of long non-coding RNA ZEB1-AS1 promotes colorectal cancer cell proliferation partially by suppressing p15 expression by Huangbo Gong, Hao Wen, Xuhui Zhu, Yifan Lian, Xiaojun Yang, Zhuyin Qian, Jin Zhu

“…Subsequently, small interfering RNA or lentivirus vector–mediated lncRNA ZEB1-AS1 was transfected into colorectal cancer cell lines. …”
Get full text

Body surface gastric mapping to determine gastric motility patterns associated with delayed gastric emptying after pancreaticoduodenectomy. Gastric Electric Mapping after Pancreato... by Mike Jones, Sanjay Pandanaboyana, Keno Mentor, Jade Lembo, Samantha Carswell

“…Key parameters of BSGM measurement, including wave amplitude, frequency and directional vector, will be measured at each timepoint and compared between different patient subgroups. …”
Get full text

AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

“…Compared to most traditional dimensionality reduction methods that process images into a flattened vector, we propose topological image analysis for dimensionality reduction while preserving the essential geometric and topological features of the high‐dimensional data. …”
Get full text

A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles by Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, Aníbal Zaldívar-Colado, Alan Ramírez-Noriega

“…For estimating SoH, prevalent data-driven techniques include support vector regression (SVR) and Gaussian process regression (GPR), alongside hybrid models merging machine learning with conventional estimation techniques to heighten predictive accuracy. …”
Get full text

Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…In addition, this feature selection scheme reveals the role of some miRNA compounds in the process of fruit response to stress during storage. …”
Get full text

Positive effects of bFGF modified rat amniotic epithelial cells transplantation on transected rat optic nerve. by Jia-Xin Xie, Yu Feng, Jian-Min Yuan, Zhen-Dong You, Hai-Yan Lin, Chang-Lin Lu, Jia-Jun Xu

“…<h4>Methods</h4>A human bFGF gene segment was delivered into rat AECs (AECs/hbFGF) by lentiviral vector, and the gene expression was examined by RT-PCR and ELISA. …”
Get full text

The role of the Republic of Kazakhstan in geopolitical transformation in the framework of the «Eurasian project» by M. M. Nurtazin

“…In the process of researching the geopolitical transformation of the post-Soviet space as a «Eurasian project», the author uses the method of comparative analysis of the official foreign policy documents of the founding States of the Eurasian economic union. …”
Get full text

4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

“…Whereas insufficient UV light and vitamin D can retard healing process, hence this experiment focuses on machine learning design in which pattern recognition and technology supports patient safety as our primary goal. …”
Get full text

19~21 GHz GaAs high linearity power amplifier MMIC by Liu Xiaoyu, Han Chenghao, Ruan Wenwu, Guo Runnan, Liu Ling, Xu Xindong, Hou Zewen, Zhuang Yuan, Yu Xuming, Tao Hongqi

“…For a 64-QAM orthogonal frequency division multiplexing signal with 6 dB peak-to-average power ratio and 100 MHz bandwidth，the PA exhibits an adjacent channel power ratio of -31.9 dBc、-33.2 dBc and -31.2 dBc when the error vector magnitude are 4.32%、4.13% and 5.3%.…”
Get full text

Reconstruction and prediction of tunnel surrounding rock deformation data based on PSO optimized LSSVR and GPR models by Zhenqian Huang, Zhen Huang, Pengtao An, Jun Liu, Chen Gao, Juncai Huang

“…Predicting the deformation of surrounding rock is an important task to ensure the safety of mountain tunnel construction.This study, set against the backdrop of an actual under-construction tunnel, reconstructed the missing surrounding rock monitoring data using a Particle Swarm Optimization-based Least Squares Support Vector Regression model (PSO-LSSVR), and subsequently predicted the tunnel surrounding rock deformation using the constructed Gaussian Process Regression model (PSO-GPR).The research results indicate that the average relative error of the PSO-LSSVR reconstruction model is 1.21 %, lower than the 4.82 % of the LSSVR reconstruction model and the 4.69 % of the BP reconstruction model. …”
Get full text

Estimated ultimate recovery prediction of shale gas wells based on stacked integrated learning algorithm by Min Pang, Zheyuan Zhang, Zhaoming Zhou, Wendi Zhou, Qiong Li

“…Conventional methods often lack sufficient transparency and clarity in the calculation process. As a result, machine learning (ML) algorithms have proven to be an effective alternative. …”
Get full text

Pesticide Residue Detection in Broccoli Based on Hyperspectral Technology and Convolutional Neural Network by Dan WANG, Yuqing LUAN, Zuojun TAN, Wei WEI

“…The results indicated that the combination of hyperspectral imaging technology and deep learning algorithms as 1D-CNN not only simplified the recognition process of pesticide residues in broccoli, but also improved recognition efficiency and accuracy.…”
Get full text

AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation by Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

“…The AE-BPNN model demonstrated significant advantages over Gaussian Process Regression (GPR) and Support Vector Regression (SVR), yielding lower Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE), alongside higher R² scores. …”
Get full text

NNG-Based Secure Approximate k-Nearest Neighbor Query for Large Language Models by Heng Zhou, Yuchao Wang, Yi Qiao, Jin Huang

“…Furthermore, we construct a secure index table that enables complete candidate set retrieval through a single query, ensuring our solution completes the search process in one interaction while minimizing communication costs. …”
Get full text

Active learning based surrogate ensemble assisted multi-objective optimization framework for reservoir water-flooding optimization by Lian Wang, Liang Zhang, Rui Deng, Jianhua Qu, Hehua Wang, Liehui Zhang, Xing Zhao, Bing Xu, Xindong Lv, Caspar Daniel Adenutsi

“…In this proposed ALSA-MOPO method, three frequently-used surrogate models, the radial basis function network, Gaussian process regression, and support vector regression are adopted to construct the surrogate ensemble. …”
Get full text