Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques by Hanaa Attou, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

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Improving trajectory classification through Kramers–Moyal coefficients by G. Viera-López, J.J. Morgado-Vega, A. Reyes, E. Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini

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HPClas: A data‐driven approach for identifying halophilic proteins based on catBoost by Shantong Hu, Xiaoyu Wang, Zhikang Wang, Menghan Jiang, Shihui Wang, Wenya Wang, Jiangning Song, Guimin Zhang

Subjects: “…feature engineering…”
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IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning by Susanto, Deris Stiawan, Budi Santoso, Alex Onesimus Sidabutar, M. Agus Syamsul Arifin, Mohd Yazid Idris, Rahmat Budiarto

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Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases by Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Sourav Bhaduri, Archith Rajan, Pedro Rosa-Neto, Steven Brem, Laurie A. Loevner, Suyash Mohan, Sanjeev Chawla

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Improving triage performance in emergency departments using machine learning and natural language processing: a systematic review by Bruno Matos Porto

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HP-SEFB: hyper parameterized stacking ensemble with fuzzy-Boruta for rheumatoid arthritis classification by D. Jeyamani, P. Rukmani

Subjects: “…Feature engineering…”
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Context Is All You Need: A Hybrid Attention-Based Method for Detecting Code Design Patterns by Tarik Houichime, Younes El Amrani

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Predicting Heart Diseases by Selective Machine Learning Algorithms by N. Umar, S. K. Hassan, A. Umar, S. S. Ahmed

Subjects: “…Heart Disease; Feature Improvement; Prediction; Data Smoothing; Feature Engineering…”
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Software requirement engineering over the federated environment in distributed software development process by Abdulaziz Alhumam, Shakeel Ahmed

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Improving Identification by Removing Obstructive Minutiae From Latent Fingerprints by Marcos Daniel Calderon-Calderon, Miguel Angel Medina-Perez, Raul Monroy

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CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis by Mohammad Shariful Islam, Mohammad Abu Tareq Rony

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Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

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Predicting wind power using LSTM, Transformer, and other techniques by Arun Kumar M, Rithick Joshua K, Sahana Rajesh, Caroline Dorathy Esther J, Kavitha Devi MK

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Minimum and Maximum Pattern-Based Self-Organized Feature Engineering: Fibromyalgia Detection Using Electrocardiogram Signals by Veysel Yusuf Cambay, Abdul Hafeez Baig, Emrah Aydemir, Turker Tuncer, Sengul Dogan

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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

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Feature Engineering to Embed Process Knowledge: Analyzing the Energy Efficiency of Electric Arc Furnace Steelmaking by Quantum Zhuo, Mansour N. Al-Harbi, Petrus C. Pistorius

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Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques by Ebenezer Fiifi Emire Atta Mills, Zihui Deng, Zhuoqing Zhong, Jinger Li

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GKN-Stack: An Ensemble Deep Learning Framework for Blood Glucose Forecasting Based on Medical Examination Data by Lueshi Li, Huafeng Zhang, Ruizhuo Song

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