Signal entropy feature extraction and simulation analysis of the armored target with passive millimeter wave by Jianli FENG, Mingshi LUO, Xiaomin ZHANG

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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

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Improving the quality of payment fraud detection by using a combined approach of transaction analysis by Світлана Гавриленко, Олексій Абдуллін

“… Subject matter: The study focuses on the methods for detection fraud transactions. Goal: Improve the accuracy of machine learning models for fraud transactions with combined methods for transaction analysis. …”
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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…Motivated by the limitations, the present study comes up with an innovative automated solution for the identification of breast cancer using deep learning analysis of mammograms. Moving away from the traditional approaches with inherent pre-processing and feature extraction constraints, this research focuses on a two-pronged improvement strategy: improved mammogram quality and highly optimized deep learning architecture. …”
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Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM by Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, Har Pal Thethi

“…The segmentation, detection, and extraction of infected tumor area from magnetic resonance (MR) images are a primary concern but a tedious and time taking task performed by radiologists or clinical experts, and their accuracy depends on their experience only. …”
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Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection by Khandaker Mohammad Mohi Uddin, Md. Tofael Ahmed Bhuiyan, Md. Mahbubur Rahman, Md. Manowarul Islam, Md Ashraf Uddin

“…In this study, we examined a dataset consisting of 541 patient records to enhance the detection of PCOS using advanced machine learning techniques. …”
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Optical Coherence Tomography-Based Fingerprint Presentation Attack Detection via Multi-Tissue Features Contribution Analysis by Zhanqing Li, Jie Ji, Jiajin Qi, Haonan Fang, Yipeng Liu

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Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features by Hung-Wen Tsai, Chien-Yu Chiou, Wei-Jong Yang, Tsan-An Hsieh, Cheng-Yi Chen, Che-Wei Hsu, Yih-Jyh Lin, Min-En Hsieh, Matthew M. Yeh, Chin-Chun Chen, Meng-Ru Shen, Pau-Choo Chung

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Advanced bearing fault detection at varying rotational speeds using PSO-optimized SVM and CDET feature selection by Hongxu Chai, Xiaoshi Ma, Feng Zhu, Yandong Hu

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An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features by Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau

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Propose of heel-strike and toe-off frame detection from gait video with optical flow and edge detection by Junya KOBAYASHI, Nobuaki NAKAZAWA

Subjects: “…gait feature extraction…”
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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…To enhance public safety, crowd detection and prevention systems have essentially become a natural means to manage diverse crowded areas, such as urban settings, transportation hubs, and event venues. …”
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Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection by İsmail Baydili, Burak Tasci, Gülay Tasci

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Detection of network intelligence features with the decision tree model by N. P. Sharaev, S. N. Petrov

“…The study was carried out to develop software module for detecting the features of network intelligence by machine learning methods.M e t h o d s . …”
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Explainable handcrafted features for mitotic event detection and classification by Panason Manorost, Thomas Deckers, Veerle Bloemen, Jean Marie Aerts

“…The applied machine learning approach not only allows high processing performance but also explains how selected features contribute to mitotic event detection. The mean accuracy of the classifiers is 85.12% and precision and recall for the publicly available phase contrast dataset are 88.01% and 92.70% respectively. …”
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Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…An important aspect of visual saliency detection is how features that form an input image are represented. …”
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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

“…In order to reduce the computational burden usually associated with DL models, our method integrates machine learning classifiers in combination with keyframing approaches and texture analysis. Moreover, the features extracted with a histogram of oriented gradients (HOG), local binary pattern (LBP), and KAZE bands were integrated to evaluate using random forest, extreme gradient boosting, extra trees, and support vector classifier algorithms. …”
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LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion by Hang Yu, Bingzong Liu, Lei Wang, Teng Li

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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…However, both types of boosting algorithms struggle with the analysis of complex feature sets, the enhancement of weak learners, and the handling of larger datasets. …”
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