Machine learning study on magnetic structure of rare earth based magnetic materials by Dan Liu, Jiahe Song, Zhixin Liu, Jine Zhang, Weiqiang Chen, Yinong Yin, Jianfeng Xi, Xinqi Zheng, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Jirong Sun, Baogen Shen

“…The prediction accuracy of all models is above 0.73. Compared with non-decision tree models, optimized decision tree algorithms such as Gradient Boosting have greater advantages in binary classification. …”
Get full text

Research on Malodor Component Identification Based on Sensor Array by Jiaxing Xie, Wen Chen, Shiyun Chen, Peiwen Wu, Zhendong Lv, Jiatao Wu, Zihao Chen, Zonghong Li, Fan Luo, Xiaohong Liu

“…Experimental results demonstrate that the proposed IED-CNN-LSTM model outperforms conventional methods significantly in both prediction accuracy and long-term stability. …”
Get full text

Research on the quantification and automatic classification method of Chinese cabbage plant type based on point cloud data and PointNet++ by Chongchong Yang, Chongchong Yang, Lei Sun, Lei Sun, Jun Zhang, Jun Zhang, Xiaofei Fan, Xiaofei Fan, Dongfang Zhang, Dongfang Zhang, Tianyi Ren, Tianyi Ren, Minggeng Liu, Minggeng Liu, Zhiming Zhang, Zhiming Zhang, Wei Ma, Wei Ma

“…K-medoids clustering analysis was then used for the unsupervised classification of the data, and specific quantification of Chinese cabbage plant types was performed based on the classification results. Finally, we combined 1024 feature vectors with 10 custom dimensionless features and used the optimized PointNet++ model for supervised learning to achieve the automatic classification of Chinese cabbage plant types. …”
Get full text

Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…Despite using similar training data and model architecture, the models may produce different numerical representations in the featurization stage, potentially reducing the generalization ability of the model. …”
Get full text

MHD analysis of couple stress nanofluid through a tapered non-uniform channel with porous media and slip-convective boundary effects by P. Deepalakshmi, G. Shankar, E.P. Siva, D. Tripathi, O. Anwar Bég

“…Buongiorno's two-component nanoscale model is deployed and the Stokes couple stress non-Newtonian model utilized. …”
Get full text

Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies by Maurizio Cè, Marius Dumitru Chiriac, Andrea Cozzi, Laura Macrì, Francesca Lucrezia Rabaiotti, Giovanni Irmici, Deborah Fazzini, Gianpaolo Carrafiello, Michaela Cellina

“…The paper has two primary objectives: first, to provide a clear, systematic guide to radiomics study pipeline, including study design, image preprocessing, feature selection, model training and validation, and performance evaluation. …”
Get full text

Label‐Free Single‐Molecule Immunoassay by Xiaoyan Zhou, Chao Chen, Shuang Zhou, Guangzhong Ma, Mohammad Javad H. N. Chemerkouh, Christine L. H. Snozek, Eric H. Yang, Jiapei Jiang, Brandyn Braswell, Zijian Wan, Xinyu Zhou, Shaopeng Wang

“…This study introduces a real‐time mass imaging‐based label‐free single‐molecule immunoassay (LFSMiA). Featuring plasmonic scattering microscopy‐based mass imaging, a 2‐step sandwich assay format enables background reduction, minimization of matrix effect by dynamic tracking of single binding events, and fully leveraging real‐time data for improved measurement precision through a Bayesian Gaussian process model, the LFSMiA enables ultra‐sensitive and direct protein detection at the single‐molecule level in neat blood sample matrices. …”
Get full text

SAR Image Super-Resolution Based on Multiscale Edge Texture-Oriented GAN Approach by Yunfei Zhu, Yulin Huang, Mingjie Yang, Deqing Mao, Yin Zhang, Lu Jiao, Yongchao Zhang, Jianyu Yang

“…To enhance spatial resolution and suppress edge blurring in SAR images, this article proposes a multiscale edge texture-oriented generative adversarial network (METGAN)-based SAR image super-resolution approach. The proposed METGAN model comprises two phases: the super-resolution phase and the multiscale edge texture enhancement phase. …”
Get full text

Liquid Biopsy Based Bladder Cancer Diagnostic by Machine Learning by Ērika Bitiņa-Barlote, Dmitrijs Bļizņuks, Sanda Siliņa, Mihails Šatcs, Egils Vjaters, Vilnis Lietuvietis, Miki Nakazawa-Miklaševiča, Juris Plonis, Edvīns Miklaševičs, Zanda Daneberga, Jānis Gardovskis

“…Combining both data types enhanced performance, resulting in an F1 score of 0.79 and an ROC of 0.85. …”
Get full text

The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…The creation of new types of assets and trading models to replace conventional payment and settlement platforms is one of the consequences of blockchain in the field of financial services. …”
Get full text

Brain state dynamics and working memory in patients with schizophrenia and unaffected siblings by Feiwen Wang, Jie Yang, Jun Yang, Peng Cheng, Wenjian Tan, Danqing Huang, Maoxing Zhong, Xiawei Liu, Weiqing Huang, Zhening Liu, Lena Palaniyappan

“…We estimated group differences in the properties of brain states and studied the influence of WM performance and clinical characteristics on them using General Linear Models. …”
Get full text

Demonstration of 50 Gbps Long-Haul D-Band Radio-over-Fiber System with 2D-Convolutional Neural Network Equalizer for Joint Phase Noise and Nonlinearity Mitigation by Yachen Jiang, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Jingwen Lin, Yuan Ma, Siqi Wang, Zhihang Ou, Wen Zhou

“…The 2D-CNN outperformed Volterra series and deep neural network approaches in long-haul D-band RoF systems by compensating for phase noise and nonlinear distortions via spatiotemporal feature integration, hierarchical feature extraction, and nonlinear modelling.…”
Get full text

Spatial relationships and interactions of immune cell niches are linked to the pathologic response of muscle-invasive bladder cancer to neoadjuvant therapy by Wasilijiang Wahafu, Quan Zhou, Xihua Yang, Yongming Yang, Yuanyuan Zhao, Zhu Wang, Xiangpeng Kang, Xiongjun Ye, Nianzeng Xing

“…This study aims to characterize the spatial features of distinct cell-type niches within the tumor microenvironment (TME) of patients with varying responses to neoadjuvant therapy. …”
Get full text

A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma by Yaoting Sun, He Wang, Lu Li, Jianbiao Wang, Wanyuan Chen, Li Peng, Pingping Hu, Jing Yu, Xue Cai, Nan Yao, Yan Zhou, Jiatong Wang, Yingrui Wang, Liqin Qian, Weigang Ge, Mengni Chen, Feng Yang, Zhiqiang Gui, Wei Sun, Zhihong Wang, Minghua Ge, Yi He, Guangzhi Wang, Yongfu Zhao, Huanjie Chen, Xiaohong Wu, Yuxin Du, Wenjun Wei, Fan Wu, Dingcun Luo, Xiangfeng Lin, Haitao Zheng, Xin Zhu, Bei Wei, Jiafei Shen, Jincao Yao, Zhennan Yuan, Tong Liu, Jun Pan, Yifeng Zhang, Yangfan Lv, Qiaonan Guo, Qijun Wu, Tingting Gong, Ting Chen, Shu Zheng, Jingqiang Zhu, Hanqing Liu, Chuang Chen, Hong Han, Sathiyamoorthy Selvarajan, Michael Mingzhao Xing, Kennichi Kakudo, Erik K Alexander, Yijun Wu, Yu Wang, Dong Xu, Hao Zhang, Xiu Nie, Oi Lian Kon, N Gopalakrishna Iyer, Zhiyan Liu, Yi Zhu, Haixia Guan, Tiannan Guo, We-TEC Investigators

“…A discovery protein-based XGBoost model achieved an AUROC of 0.899 (95% CI, 0.849–0.949), outperforming the gene-based model (AUROC 0.670 [95% CI, 0.612–0.729]). …”
Get full text

DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain by Hugo Barbaroux, Michael Loecher, Yannick Brackenier, Karl P. Kunze, Radhouene Neji, Dudley J. Pennell, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young

“…Conclusion: Generating realistic cine DENSE images with high-resolution ground-truth strain and myocardial segmentation enables accurate evaluation of strain analysis tools, while reproducing key in-vivo acquisition features, and will facilitate the future development of deep-learning models for myocardial strain analysis, enhancing clinical CMR workflows.…”
Get full text

Development of a Method for Obtaining Nanoscale Magnesium Carbonate Stabilized with Chitosan as the Basis of Scaffold Matrices for Regenerative Medicine by A. V. Blinov, Z. A. Rekhman, A. A. Gvozdenko, M. A. Yasnaya, M. A. Kolodkin, M. A. Taravanov

“…They were studied using X-ray diffractometry, scanning electron microscopy, infrared spectroscopy, and dynamic light scattering. Quantum-chemical modeling was performed using the QChem program and the IQmol molecular editor.Results. …”
Get full text

Automated Ultrasound Diagnosis via CLIP-GPT Synergy: A Multimodal Framework for Image Classification and Report Generation by Li Yan, Xiaodong Zhou, Yaotian Wang, Xuan Chang, Qing Li, Gang Han

“…Experimental results demonstrate that the proposed system achieves superior performance: classification accuracy reaches 96.4%, recall 95.1%, and F1-score 95.5%, significantly outperforming conventional CNN models (e.g., ResNet-50 with accuracy 89.6%). …”
Get full text

Determinants of plasma poly- and perfluoroalkyl substances during pregnancy: The Japan Environment and Children’s Study by Yonghang Lai, Shoji F. Nakayama, Yukiko Nishihama, Tomohiko Isobe

“…Several machine learning approaches were used, and the XGBoost model had the best predictive performance for seven PFAS quantified in more than 50 % of the population (from R2 = 0.34 and RMSE = 0.39 ng/mL for perfluorononanoic acid to R2 = 0.85 and RMSE = 0.19 ng/mL for perfluoroundecanoic acid). …”
Get full text

FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

“…This strategic approach encourages distinctive levels of confidence in individual predictions while fostering overall diversity. Given that performance can be easily over-fitted with a restricted number of observed objects if feature alignment strictly adheres to conventional methods, the set of source instances are initially categorized into two groups: target domain-easy set and target domain-hard set. …”
Get full text

Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…This study focuses on the main features and applications of multi-robot SLAM in complex agricultural scenarios. …”
Get full text