Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
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Malware classification method based on static multiple-feature fusion by Bo-wen SUN, Yan-yi HUANG, Qiao-kun WEN, Bin TIAN, Peng WU, Qi LI

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Automatic Segmentation and Characterization of Structure Planes From Borehole Images Based on Deep Learning by Shuangyuan Chen, Zengqiang Han, Yi Cheng, Chao Wang

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Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

“…Utilising this method, advanced detection of geological anomalies hidden in coal seams was achieved. …”
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Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures by Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim

“…In addition to sound characterization, we lack annotated datasets of suitable size to train networks accurately for detecting and identifying animal species. To leverage the best from these models, this work investigates different audio input representations, particularly spectrogram-based and acoustic indices, which are pre-processed features extracted from audio sources. …”
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Framelet transform based edge detection for straight line detection from remote sensing images by Vidhya Rangasamy, Sulochana Subramaniam

“… Edge detection has been widely used as a pre-processing step for image processing applications such as region segmentation, feature extraction and object boundary description. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…For feature engineering, two jobs were performed: feature representations and feature analysis and selection. …”
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Identifying candidate biomarkers for detecting bronchogenic carcinoma stages using metaheuristic algorithms based on information fusion theory by Bagher Khalvati, Kaveh Kavousi, Amir Hosein Keyhanipour, Masoud Arabfard

“…This study aims to identify non-invasive biomarkers for detecting bronchogenic carcinoma and its various stages by analyzing gene expression data using bioinformatics and machine learning techniques. …”
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Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) by Lina Wang, Yaru Li, Ji Chen, Danfei Zhang, Zhengbin Zhang, Xiang Li

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A robust deep learning approach for glasses detection in non‐standard facial images by Saddam Bekhet, Hussein Alahmer

“…Abstract Automated glasses detection is a cardinal component in facial/ocular analysis that powers forensic, surveillance and biometric authentication systems. …”
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Multiscale Analysis of Alzheimer’s Disease Using Feature Fusion in Cognitive and Sensory Brain Regions by Aya Hassouneh, Alessander Danna-dos-Santos, Bradley Bazuin, Saad Shebrain, Ikhlas Abdel-Qader

“…Results: The research highlights the critical role of brain texture features, particularly in memory regions, for AD detection. …”
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A PEDESTRIAN STEP COUNTING PARAMETER DETECTION METHOD AIDED WITH ANGULAR VELOCITY INFORMAITON by WANG Ping, ZHANG GuangPeng, ZHANG YanShun, HUANG ShuFeng, YAO Juan

“…To compensate this error,a pedestrian step detection method aided with angular velocity is proposed based on the analysis on body waist motion feature. …”
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A music structure analysis method based on beat feature and improved residual networks. by Bing Lu, Qianxue Zhang, Yi Guo, Fuqiang Hu, Xuejun Xiong

“…In response to the issues of insufficient audio feature representation and insufficient model generalization ability in music structure analysis methods, a music structure analysis method based on beat feature fusion and an improved residual network was designed. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…This paper concludes with a review of the progress in fault identification in ICE components and prospects, highlighted by an experimental investigation using 16 machine learning algorithms with seven feature selection techniques under three load conditions to detect faults in a four-cylinder ICE. …”
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Enhancing Kármán Vortex Street Detection via Auxiliary Networks Incorporating Key Atmospheric Parameters by Yihan Zhang, Zhi Zhang, Qiao Su, Chaoyue Wu, Yuqi Zhang, Daoyi Chen

“…To overcome this limitation, this study presents an innovative auxiliary network framework that integrates essential atmospheric physical parameters to bolster the detection performance of Kármán vortex streets. Utilizing reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF-ERA5), representative atmospheric features are extracted and subjected to feature permutation importance (PFI) analysis to quantitatively evaluate the influence of each parameter on the detection task. …”
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A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning by Bilge Han Tozlu

“…The Voting Classifier achieved 85.88% classification accuracy before and 81.85% after feature selection. With its cost effectiveness, fast processing time, and practicality, the recommended system shows great potential for detecting methanol, which threatens human health in counterfeit drink production.…”
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Image data-driven intelligent recognition of permafrost strength and feature visualization based analysis by Zhaoming YAO, Xun WANG, Hang WEI, Xiaolong WANG

“…Grad-CAM (Gradient-weighted Class Activation Mapping) interpretability analysis method was introduced to reveal the internal feature extraction process of the convolutional neural network in the frozen soil strength recognition task. …”
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A Transformer-Based Multiscale Difference Enhancement Network for Change Detection by Mengyang Pan, Hang Yang, Chengkang Yu, Mingqing Li, Anping Deng

“…Despite the progress made by convolutional neural networks and Transformer architectures in visual analysis, challenges remain in achieving robust feature representation and global contextual understanding. …”
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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

“…A weighted fusion method of Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) was used to extract shape and texture features simultaneously. Principal Component Analysis (PCA) was used to reduce the dimension of fused features to reduce the false detection rate caused by redundant noise interference. …”
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Combining Feature Dimensionality Reduction and NGO-CNN-BiLSTM′s Network Abnormal Traffic Detection Method in Recruitment Intelligence Platform by YUAN Xiaopeng, MIAO Sirui, ZHANG Qiaojun

“…In view of the challenges brought by computer viruses and network malicious attacks to the operation and maintenance of the recruitment intelligent platform system, this paper proposes a method to detect abnormal traffic of the recruitment smart platform based on feature dimensionality reduction combined with Northern Goshawk Optimization ( NGO) to optimize convolutional neural network (CNN) and Bi-directional Long Short-Term Memory (BiLSTM). …”
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