Machine Learning-Enhanced Discrimination of Gamma-Ray and Hadron Events Using Temporal Features: An ASTRI Mini-Array Analysis by Valentina La Parola, Giancarlo Cusumano, Saverio Lombardi, Antonio Alessio Compagnino, Antonino La Barbera, Antonio Tutone, Antonio Pagliaro

“…The model incorporates feature importance analysis to select the most discriminating temporal parameters from a comprehensive set of time-based features. …”
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Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis by Samuel Matia Kangoni, Obed Tshimanga Tshipata, Pierre Sedi Nzakuna, Vincenzo Paciello, Jean-Gilbert Mbula Mboma, Jean-Robert Makulo, Kyandoghere Kyamakya

“…This study evaluates the effectiveness of word-level and sentence-level embeddings for feature extraction in sentiment analysis. These embeddings are used in sequential models (Bi-LSTM, CNN) and non-sequential models (Random Forest, DNN, ExtraTreesClassifier). …”
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An Image Processing Approach to Quality Control of Drop-on-Demand Electrohydrodynamic (EHD) Printing by Yahya Tawhari, Charchit Shukla, Juan Ren

“…These stages collectively improve the precision and efficiency of EHD DoD printing analysis in terms of dot size and spacing. Edge and contour detection strategies are implemented to minimize edge discrepancies and accurately delineate droplet perimeters for quality analysis, enhancing measurement precision. …”
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Detection of external defects on potatoes by hyperspectral imaging technology and image processing method by Su Wenhao, Liu Guishan, He Jianguo, Wang Songlei, He Xiaoguang, Wang Wei, Wu Longguo

“…The traditional classification method has low efficiency and poor objectivity, costs big labor intensity, and is difficult to identify shortcomings through it.In order to realize the accurate and fast classification of potatoes in the process of actual processing, various potatoes with external defects were detected in spectral region of 400 - 1 000 nm using hyperspectral image technology, and an online nondestructive testing method was established by principal component analysis of characteristic wavelengths and image subtraction algorithm.Six defective potato types (mechanical damage, hole, scab, surface bruise, sprout, green skin, normal) and one qualified potato type were used as the research objects in this study, and their hyperspectral images were obtained, respectively. …”
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SVM-Based Optical Detection of Retinal Ganglion Cell Apoptosis by Mukhit Kulmaganbetov, Ryan Bevan, Andrew Want, Nantheera Anantrasirichai, Alin Achim, Julie Albon, James Morgan

“…A grey-level co-occurrence-based texture analysis was performed on the inner plexiform layer (IPL) to monitor changes in the optical speckles using a principal component analysis (PCA) and a support vector machine (SVM). …”
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Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Principal Component Analysis (PCA) for Anomaly Detection by Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto, Adrianus Herry Heriadi, Petrus Priyo Santosa, Yohanes Sardjono, Johanes Dian Kurniawan

“…The study measures temperature, humidity, pressure, altitude, PM 1.0, and PM 2.5 and shows the effectiveness of using AIOT-Particle devices to analyze these features with Principal Component Analysis (PCA). Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to detect anomalies during the observation period. …”
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Integrating near-infrared hyperspectral imaging with machine learning and feature selection: Detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazeln... by Derick Malavi, Katleen Raes, Sam Van Haute

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Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease by Amandeep Minhas, Subhash Chandra Pal, Karan Jain

“…Finally, extensive analysis on CAD and non-CAD classification is carried out on the basis of extracted features while employing state-of-the-art classifiers such as support vector machines (SVM), K-nearest neighbors (KNN) and neural networks(NN). …”
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Personality Traits Estimation Based on Job Interview Video Analysis: Importance of Human Nonverbal Cues Detection by Kenan Kassab, Alexey Kashevnik

“…In this research, we delve into the analysis of non-verbal cues and their impact on evaluating job performance estimation and hireability by analyzing video interviews. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…A Morphological Approach is used to obtain comprehensive features of the blood vessels around the Optic Disc (OD). …”
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A Novel Method for Epileptic Seizure Detection Using Separable Gabor Wavelets by Aswini Kumar Samantaray, Amol D. Rahulkar

“…In clinical therapy, epileptic seizure detection is receiving more and more attention. The analysis of scalp electroencephalograms (EEGs) is a widely used method for detecting brain abnormalities related to seizure onset. …”
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Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

“…Therefore, Enhanced Grey Wolf Optimization (EGWO) for Feature Selection (FS) is implemented. The function of EGWO is to remove unnecessary features from datasets used for intrusion detection. …”
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YOLOv11-BSD: Blueberry maturity detection under simulated nighttime conditions evaluated with causal analysis by Runqing Zhang, Wenhui Dong, Pengzhi Hou, Huiqin Li, Xiongwei Han, Qingqiang Chen, Fuzhong Li, Xiaoying Zhang

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A comparative analysis of imaging-based algorithms for detecting focal cortical dysplasia type II in children by Jan Šanda, Zuzana Holubová, David Kala, Kateřina Jiránková, Martin Kudr, Tomáš Masák, Anežka Bělohlávková, Pavel Kršek, Jakub Otáhal, Martin Kynčl

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Eye movement features for assisting differentiation between posterior circulation infarction and vestibular neuritis in patients of acute vestibular syndrome by Mi-Mi Jin, Xin-Lei Mao, Yu-Lian Song, Yang-Yang Zhou, Dao-Lu Zhang, Qing-Qing Zhuang, Xiang-Dong Huang, Si-Liang Zhu, Si-Si He, Wei Chen, Xiong Zhang, Jian-Hong Zhu

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Statistical and density-based clustering techniques in the context of anomaly detection in network systems: A comparative analysis by Aleksandr S. Baklashov, Dmitry S. Kulyabov

“…The comparative analysis highlights the high effectiveness of clustering methods in detecting anomalies in network traffic. …”
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A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis by Lina Li

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A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu, Chia-Chun Lai

“…The sensor easily attaches to the motor line without any hardware modification and provides real-time current signals for frequency domain analysis. Fast Fourier Transform (FFT) is employed to extract spectral features, particularly focusing on high-frequency energy spikes at the moment of breakage. …”
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Frequency-informed transformer for real-time water pipeline leak detection by Fengnian Liu, Ding Wang, Junya Tang, Lei Wang

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An innovative traffic flow detection model based on temporal video frame analysis and grayscale aggregation quantification by Xin Liu, Qiao Meng, Xin Li, Zhijie Wang, Siyuan Kong, Bingyu Li

“…However, these methods often fail to meet the stringent real‐time requirements of state detection, especially on edge devices with limited computing resources.To address these challenges, this study develops a traffic alert model using temporal video frame analysis and grayscale aggregation quantization techniques. …”
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