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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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…On this, we propose a novel framework for the detection of cardiovascular diseases and presiding analysis through multimodal data fusion, optimized neural networks, and explainable AI techniques. …”
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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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Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

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SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

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A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

“…The algorithm extracts high-dimensional ReID features using the Dense-Net121 network for enhanced shadow detection and calculates a cost matrix by integrating ReID feature cosine similarity with Intersection over Union similarity. …”
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Reproducing morphological features of intervertebral disc using finite element modeling to predict the course of cervical spine dorsopathy by Evgeny V. Yakovlev, Artur L. Ovsepyan, Alexander A. Smirnov, Anna A. Safronova, Dmitry A. Starchik, Sergey A. Zhivolupov, Dmitry E. Mokhov, Ekaterina S. Mokhova, Yuriy L. Vasil’ev, Sergey S. Dydykin

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Early Detection and Dynamic Grading of Sweet Potato Scab Based on Hyperspectral Imaging by Xiaosong Ning, Qiyao Xia, Fajiang Tang, Ziyu Ding, Xiawei Ding, Fanguo Zeng, Zhangying Wang, Hongda Zou, Xuejun Yue, Lifei Huang

“…Classification models, including K-nearest neighbor (KNN), support vector machine (SVM), and linear discriminant analysis (LDA), were constructed to evaluate the effectiveness of spectral features. …”
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Eco-friendly optical sensor membrane for nickel ion detection in water and food samples by Abdullah H. Alluhayb, Alaa M. Younis, Ahmad O. Babalghith, Alaa S. Amin

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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 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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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 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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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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Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

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Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis by Sara Maria Santos Dias da Silva, Marcelo Saito Nogueira, Jaqueline Maria Brandão Rizzato, Simone de Lima Silva, Sheila Cavalca Cortelli, Roger Borges, Herculano da Silva Martinho, Rodrigo Augusto Silva, Luis Felipe das Chagas e Silva de Carvalho

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Comparative Analysis of Machine Learning Approaches for Fetal Movement Detection with Linear Acceleration and Angular Rate Signals by Lucy Spicher, Carrie Bell, Kathleen H. Sienko, Xun Huan

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Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023 by INDRI RAMDANI, YENNI ANGRAINI, INDAHWATI INDAHWATI

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