Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…An extensive set of experiment were conducted to look for the best approach and the most relevant features. Principal Component Analysis (PCA) was applied to select the most relevant features for both supervised and unsupervised learning models. …”
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An extrinsic random-based ensemble approach for android malware detection by Nektaria Potha, V. Kouliaridis, G. Kambourakis

“…Malware detection is a fundamental task and associated with significant applications in humanities, cybersecurity, and social media analytics. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

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Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study by Ming De Lim, Tee Connie, Michael Kah Ong Goh, Nor ‘Izzati Saedon

“…ObjectiveThe study aimed to develop a noninvasive approach for the early detection of PD by analyzing model-based gait features. …”
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Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset by Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer, Husam A. Neamah

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Hybrid feature fusion in cervical cancer cytology: a novel dual-module approach framework for lesion detection and classification using radiomics, deep learning, and reproducibilit... by Shurong Niu, Lili Zhang, Lina Wang, Xue Zhang, Erniao Liu

“…Comprehensive statistical analyses, including bootstrapped confidence intervals and Delong’s test, further substantiated the robustness and reliability of the proposed framework.ConclusionsThe proposed AI-driven cytology analysis framework offers superior lesion detection, feature fusion-based classification, and robust generalizability, providing a scalable solution for automated cervical cancer screening. …”
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FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…MFIM strengthens the collaborative expression of low-level details and high-level semantics through multi-scale feature alignment and progressive fusion, effectively integrating low-level details and high-level semantics, significantly improving small object detection performance. …”
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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Principal component analysis (PCA), correlation analysis, and feature engineering is applied to retain the most informative features. …”
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A Comparative Analysis of the Zernike Moments for Single Object Retrieval by Abu Bakar et al.

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High-Accuracy Intermittent Strabismus Screening via Wearable Eye-Tracking and AI-Enhanced Ocular Feature Analysis by Zihe Zhao, Hongbei Meng, Shangru Li, Shengbo Wang, Jiaqi Wang, Shuo Gao

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Proteomics and machine learning: Leveraging domain knowledge for feature selection in a skeletal muscle tissue meta-analysis by Alireza Shahin-Shamsabadi, John Cappuccitti

“…Using biological context for interpreting the data resulted in improved model performance and made tailored analysis possible by reducing the dimensionality and increasing signal-to-noise ratio as well as only preserving biologically relevant features in each category. …”
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Use of Explainable Artificial Intelligence for Analyzing and Explaining Intrusion Detection Systems by Pamela Hermosilla, Mauricio Díaz, Sebastián Berríos, Héctor Allende-Cid

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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis by Yan Chaosheng, Sun Haowen, Rao Jingjing, Dai Yuanyuan, Duan Wenhui, Sheng Yingyue, Xue Yuzheng

“…Methods We used a multichip joint analysis approach to explore the database thoroughly. …”
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MACHINE LEARNING BASED STRATEGY FOR MITM ATTACK MITIGATION UTILIZING HYBRID FEATURE SELECTION by Pratik Kumar Swain, Suneeta Satpathy, Srinivasa Rao Pokuri

“…Hybrid feature selection with Recursive Feature Elimination (RFE) and Mutual Information (MI) are employed in a more informative subset of features for detection. …”
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Methods for analysis and monitoring of heavy metals in the environment by A. R. Tsygankova, S. A. Gulyaev, L. S. Adamenko, M. A. Shestopalov

“…The data is structured in the form of a table, which shows specific analysis methods, indicating the method of sample preparation and/or features of instrumental determination, a list of elements to be determined and the limits of detection.…”
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Classification of Prominent Cacao Pod Diseases Using Multi-Feature Visual Analysis and k-Nearest Neighbors Algorithm by Earl Clarence San Diego, Seph Gerald Rodrin, Edwin Arboleda

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Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

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Comparative Analysis of Machine Learning and Deep Learning Models for Lung Cancer Prediction Based on Symptomatic and Lifestyle Features by Bireswar Dutta

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Sonographic features of axial torsion of Meckel's diverticulum in 12 pediatric patients: a retrospective analysis and literature review by Yanxiu Hu, Liqun Jia, Yu Wang, Yue Xin, Xiaoman Wang

“…Early recognition of these features may expedite preoperative diagnosis, enable timely surgical intervention and improve clinical outcomes. …”
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Semantic rule-based sentiment detection algorithm for Russian publicism sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov, Elena I. Boychuk

“…The results of errors analysis are also presented.…”
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