Machine Learning-Based Acoustic Analysis of Stingless Bee (<i>Heterotrigona itama</i>) Alarm Signals During Intruder Events by Ashan Milinda Bandara Ratnayake, Hartini Mohd Yasin, Abdul Ghani Naim, Rahayu Sukmaria Sukri, Norhayati Ahmad, Nurul Hazlina Zaini, Soon Boon Yu, Mohammad Amiruddin Ruslan, Pg Emeroylariffion Abas

“…Among them, Linear Discriminant Analysis (LDA) demonstrated the best performance in improving class separability. …”
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Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…After EEG preprocessing, spectral analysis was done to calculate linear features. Then, some nonlinear features were calculated through fractal dimension, entropy analysis, Hurst exponent, Lempel-Ziv complexity, and detrended fluctuation analysis. …”
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Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree-Based Learning by Abdulrahman Alzahrani

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Spammer group detection based on cascading and clustering of core figures by Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji

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Unsupervised Spectral-Spatial Feature Selection-Based Camouflaged Object Detection Using VNIR Hyperspectral Camera by Sungho Kim

“…This letter proposes a fully autonomous feature selection and camouflaged object detection method based on the online analysis of spectral and spatial features. …”
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BBDetector: Intelligent border binary detection in IoT device firmware based on a multidimensional feature model. by Shudan Yue, Guimin Zhang, Qingbao Li, Wenbo Zhang, Xiaonan Li, Weihua Jiao

“…In the field of firmware security analysis for Internet of Things (IoT) devices, border binary detection has become an important research focus. …”
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…This research introduces a novel feature fusion approach that enhances crack detection accuracy and interpretability. …”
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A Prediction-Based Anomaly Detection Method for Traffic Flow Data with Multi-Domain Feature Extraction by Xianguang Jia, Jie Qu, Yingying Lyu, Mengyi Guo, Jinke Zhang, Fengxiang Guo

“…Additionally, anomaly detection accuracy is often limited by insufficient prediction error analysis. …”
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Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy by Zheng Tang, Edward Duckworth, Benjamin Mora, Bilal Al - Sarireh, Matthew Mortimer, Debdulal Roy

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Quantitative pleural line characterization outperforms traditional lung texture ultrasound features in detection of COVID‐19 by Laith R. Sultan, Yale Tung Chen, Theodore W. Cary, Khalid Ashi, Chandra M. Sehgal

“…The diagnostic performance of the 2 feature sets was measured and compared using receiver operating characteristics curve analysis. …”
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Crowdsourcing as a screening tool to detect clinical features of glaucomatous optic neuropathy from digital photography. by Danny Mitry, Tunde Peto, Shabina Hayat, Peter Blows, James Morgan, Kay-Tee Khaw, Paul J Foster

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Sea Surface Floating Small-Target Detection Based on Dual-Feature Images and Improved MobileViT by Yang Liu, Hongyan Xing, Tianhao Hou

“…This study addresses the challenge of weak feature representation in one-dimensional (1D) sea clutter time-series analysis and suboptimal detection performance for sea surface small targets. …”
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COVID-19 detection from chest CT images using optimized deep features and ensemble classification by Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman

“…Moreover, pertinent features are identified from the feature vector by using several feature optimization methods namely Recursive feature elimination (RFE), Principal component analysis (PCA), and Linear discriminant analysis (LDA), and among them, we have observed PCA as the best preference. …”
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Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection by Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini

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Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images by Mohamed J. Saadh, Qusay Mohammed Hussain, Rafid Jihad Albadr, Hardik Doshi, M. M. Rekha, Mayank Kundlas, Amrita Pal, Jasur Rizaev, Waam Mohammed Taher, Mariem Alwan, Mahmod Jasem Jawad, Ali M. Ali Al-Nuaimi, Bagher Farhood

“…Feature selection methods, including ANOVA, Mutual Information (MI), Principal Component Analysis (PCA), and Recursive Feature Elimination (RFE), were applied to optimize the feature set. …”
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MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern by Q. He, Y. J. Zheng, C.L. Zhang, H. Y. Wang

“…Our article proposes an unsupervised multivariate time series anomaly detection. In the prediction part, multiscale convolution and graph attention network are mainly used to capture information in temporal pattern with feature pattern. …”
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CSDNet: Context-Aware Segmentation of Disaster Aerial Imagery Using Detection-Guided Features and Lightweight Transformers by Ahcene Zetout, Mohand Saïd Allili

“…Additionally, we introduce a detection-guided feature fusion mechanism that integrates outputs from auxiliary detection tasks to mitigate class imbalance and improve discrimination of visually similar categories. …”
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Advanced Phishing Detection: Leveraging t-SNE Feature Extraction and Machine Learning on a Comprehensive URL Dataset by Taha Etem, Mustafa Teke

“…The proposed dataset comprises 134,850 legitimate URLs and 100,945 phishing URLs, providing a robust foundation for analysis. We applied the t-SNE technique for feature extraction, condensing the original 51 features into only 2, while preserving high detection accuracy. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…Parkinson’s disease (PD), characterized by motor impairments and tremors, also presents early-stage vocal abnormalities that hold diagnostic potential. Leveraging voice analysis and classification techniques, numerous studies explore the feasibility of early PD detection through automated systems. …”
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PhishingGNN: Phishing Email Detection Using Graph Attention Networks and Transformer-Based Feature Extraction by Mejdl Safran, Abdulbaset Musleh

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