FP-Deeplab: A Novel Face Parsing Network for Fine-Grained Boundary Detection and Semantic Understanding by Borui Zeng, Can Shu, Ziqi Liao, Jingru Yu, Zhiyu Liu, Xiaoyan Chen

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Multispectral Imaging-Based System for Detecting Tissue Oxygen Saturation With Wound Segmentation for Monitoring Wound Healing by Chih-Lung Lin, Meng-Hsuan Wu, Yuan-Hao Ho, Fang-Yi Lin, Yu-Hsien Lu, Yuan-Yu Hsueh, Chia-Chen Chen

“…Moreover, statistical features that were extracted from the TOSD system and LSCI were utilized in principal component analysis (PCA) to visualize different wound healing phases. …”
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An extensive experimental analysis for heart disease prediction using artificial intelligence techniques by D. Rohan, G. Pradeep Reddy, Y. V. Pavan Kumar, K. Purna Prakash, Ch. Pradeep Reddy

“…The feature selection techniques considered for the research are Information Gain, Chi-Square Test, Fisher Discriminant Analysis (FDA), Variance Threshold, Mean Absolute Difference (MAD), Dispersion Ratio, Relief, LASSO, Random Forest Importance, Linear Discriminant Analysis (LDA), and Principal Component Analysis (PCA). …”
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Risk-Aware Suicide Detection in Social Media: A Domain-Guided Framework with Explainable LLMs by Farzaneh Lashgari, Mehran Pourvahab, António Sousa, Anilson Monteiro, Sebastião Pais

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Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

“…Additionally, we leverage frequency domain information to design a feature enhancement method, further boosting the model's detection accuracy. …”
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Xq12q13.2 duplication detected in a child in selective exome screening by A. A. Dokshukina, Je. Shubina, D. N. Maslennikov, I. O. Sadelov, E. R. Tolmacheva, S. V. Ionushene, T. A. Bairova, L. V. Rychkova, D. Yu. Trofimov, D. N. Degtyarev

“…To describe the clinical and phenotypic features of a patient with a previously undescribed Xq12q13.2 duplication detected in the neonatal period.Materials and methods. …”
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NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection by Flavia COSTI, Emanuel COVACI, Ovidiu ROMAN, Darian ONCHIS

“…The deep learning component alone achieved a high classification accuracy, but integrating fuzzy logic refined decision boundaries and enhanced interpretability. SHAP analysis highlighted key EEG features contributing to predictions, increasing model transparency. …”
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CUNet-CLSTM: A Novel Fusion of CUNet and CLSTM for Superior Liver Cancer Detection in CT Scans by K. Vijayaprabakaran, Padmanaban Ramalingam, Rajakumar Ramalingam, A. Ilavendhan, R. Vedhapriyavadhana

“…Despite the triumph of convolutional neural networks in medical image analysis, challenges such as overfitting, limited labeled data, and complex tumor morphology hinder accurate detection of liver cancer. …”
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Fast Anomaly Detection for Vision-Based Industrial Inspection Using Cascades of Null Subspace PCA Detectors by Muhammad Bilal, Muhammad Shehzad Hanif

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Detection of Inverted Channels Using Sentinel-1 Data and Sentinel-2 Data on Google Earth Engine: A Comparative Analysis by Xuhua Weng

“…Accurate mapping of these features is crucial for understanding landscape evolution in arid regions. …”
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Spatial Blind Source Estimation of Respiratory Rate and Heart Rate Detection Based on Frequency-Modulated Continuous Wave Radar by Tong Pei, Tao Liao, Xiangkui Wan, Binhui Wang, Danni Hao

“…Firstly, the weighted principal component analysis (WPCA) algorithm was used to extract the features of the target signal from the IF signal, and then the respiratory heart rate signal was reconstructed according to the different features. …”
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Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence by Moheb Yacoub, Moataz Abdelwahab, Kazuo Shiokawa, Ayman Mahrous

“…This method utilizes Two-Dimensional Principal Component Analysis (2DPCA) with Recursive Feature Elimination (RFE), in conjunction with a Random Forest machine learning model, to create an Explainable Artificial Intelligence (XAI) model capable of extracting image features to automatically detect EPBs with the lowest possible dimensionality. …”
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Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer by Joshua Millward, Zhen He, Aiden Nibali, Dmitri Mouradov, Lisa A Mielke, Kelly Tran, Angela Chou, Nicholas J Hawkins, Robyn L Ward, Anthony J Gill, Oliver M Sieber, David S Williams

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Detection of Mild Moldy-Core Disease in Apples by Fusing Acoustic-Vibration Signals and Visible-Near-Infrared Transmission Spectroscopy by GU Jiahui, LAI Lisi, WANG Kai, ZHANG Hui

“…For the acoustic-vibration signals, 7 time-domain features were optimized by using the YSV engineering test and signal analysis software as well as calculating Pearson correlation coefficients. …”
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Topic-oriented measurement of microblogging network by Wei LIU, Li-hong WANG, Rui-guang LI

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Cyber-Resilient Detection of Power Quality Events With NSCT and PCA-SVM by Sayanti Chatterjee, Pampa Sinha, Ranjith Kumar Gatla, Devineni Gireesh Kumar, D. S. Naga Malleswara Rao, Kaushik Paul, Taha Selim Ustun, Ahmet Onen

“…This paper presents an innovative detection framework that combines Nonsubsampled Contourlet Transform (NSCT) with Principal Component Analysis (PCA) and Support Vector Machine (SVM) classification to accurately detect and classify PQ disturbances under the influence of cyber threats, such as False Data Injection (FDI) and Denial of Service (DoS) attacks. …”
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TDA SegUNet: Topological Data Analysis-Based Shape-Aware Brain Tumor Segmentation by Ansar Rahman, Ayesha Satti, Ahmad Raza Shahid, Qaisar M. Shafi, Khadija Farooq, Asad Ali Safi

“…TDA-SegUNet is a U-Net-based segmentation model that integrates topological data analysis (TDA) to extract shape-based local and global features from MRI scans. …”
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A Study of Potential Applications of Student Emotion Recognition in Primary and Secondary Classrooms by Yimei Huang, Wei Deng, Taojie Xu

“…Firstly, the study adds the self-made MCC module and the Wise-IoU loss function to make object detection in the YOLOv8 model more accurate and efficient. …”
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Research on deception jamming of chaotic composite short-range detection system based on bispectral analysis and genetic algorithm–back propagation by Dongxu Wei, Shuning Zhang, Si Chen, Huichang Zhao, Linzhi Zhu

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Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF₆ by Hanhua Luo, Yan Liu, Chong Guo, Zuodong Liang

“…Subsequently, phase-resolved photon counting (PRPC) techniques and statistical analysis are employed to extract feature parameters for quantitative characterization of defect-induced photon responses. …”
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