Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma by Minxue Zhang, Lin Zhou, Yuying Zhao, Yanling Wang, Zhuobo Zhang, Zhan Liu

“…GO, KEGG and GSEA analyses were performed to uncover underlying molecular functions. Three machine learning methods—LASSO logistic regression, random forest (RF), and XGBoost—were employed to identify key genes. …”
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How to detect occluded crosswalks in overview images? Comparing three methods in a heavily occluded area by Yuanyuan Zhang, Joseph Luttrell, IV, Chaoyang Zhang

“…To address this challenge, this study explores different deep learning-based solutions, including the aerial-view method (AVM) and street-view method (SVM), which are commonly used, and a combination of them, i.e., the dual-perspective method (DPM). …”
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Video Strategy as Scaffolding to Foster Students’ Grammar Proficiency and Writing Skills in EFL Learning by Leona Patria Devi, M. Zaenal Abidin, Yuyun Yulia, Roi Boy Jon, Soni Ariawan, Rangga Alif Faresta, Siti Hanum Afuwani

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Small-size spectral features for machine learning in voice signal analysis and classification tasks by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

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Orbit Space Information System (Sirubit) as Learning Media at PT Orbit Ventura Indonesia by Yanti Apriyani, Robby Ilham, Melisa Winda Pertiwi, Imam Amirulloh

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Examining The Achievement Motivation Of Papuan And West Papuan Students At Universitas Negeri Semarang by Nugroho Trisnu Brata, Hana Cahyaningtyas

Subjects: “…achievement motivation, mastering the material, learning methods, learning strategies, taking risks…”
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Grammatical approach to describing skin lesions: framework and assessment by Adam Cardenas, Emilie A. Foltz, Simi Cadmus, Dayna Diven

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Research progress and trend of text summarization by Tuosiyu MING, Hongchang CHEN

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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

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Path Planning Based on Combination of Sampling and Learning-From-Demonstration for Static Obstacle Avoidance of Autonomous Vehicles by Youngmin Yoon, Ara Jo

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Hybrid incompressible SPH–machine learning approach for simulating natural convection in a porous intricate domain by Noura Alsedais, Abdelraheem M. Aly

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Comprehensive Analysis of Application of Multi-Criteria Decision-Making Methods with TreeSoft Set for Teaching Quality Improvement of College English Learning Process by Yue Wang

“…Then in each sub criterion we compute the criteria weights and in main criteria. The SIWEC method is used to compute the criteria weights and the ARAS method is used to rank the alternatives. …”
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PENGARUH METODE PROJECT BASED LEARNING TERHADAP KEMAMPUAN MENULIS TEKS EKSPLANASI SISWA KELAS VIII SMP NEGERI 1 PENANGGALAN KOTA SUBULUSSALAM by Nurdiana, Sadieli Telaumbanua, Sartika Sari

Subjects: “…explanatory text, project-based learning, lecture method…”
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Penggunaan Metode Outdoor Learning dalam Meningkatkan Kemampuan Berbicara Bahasa Arab Peserta Didik Kelas XI MA DDI Lil-Banat Parepare by Nur Muthmainna Maryam Haruna

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Closer than they look at first glance: A systematic review and a research agenda regarding measurement practices for policy learning by Pierre Squevin, David Aubin, Éric Montpetit, Stéphane Moyson

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Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis by Ana María Cabanas, Nicolás Sáez, Patricio O. Collao-Caiconte, Pilar Martín-Escudero, Josué Pagán, Elena Jiménez-Herranz, José L. Ayala

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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…However, the existing manifold learning methods cannot effectively solve the problem of lacking label information and ignore the negative impact of dimensionality reduction on sample division. …”
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Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method by Xiaodong Ren, Pengxin Yang, Dengkui Mei, Hang Liu, Guozhen Xu, Yue Dong

“…In this study, we developed a new deep learning‐based multi‐model ensemble method (DLMEM) to forecast geomagnetic storm‐time ionospheric TEC that combines the Random Forest (RF) model, the Extreme Gradient Boosting (XGBoost) algorithm, and the Gated Recurrent Unit (GRU) network with the attention mechanism. …”
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Intelligent method for supporting decision-making on software security using hybrid models by Оксана Сітнікова, Маргарита Мельник, Олена Сирота, Сергій Семенов

“…The research is aimed at developing an intelligent decision support method for software security assessment using a hybrid model based on deep learning and gradient boosting. …”
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Efficiency Analysis of Artificial Intelligence and Conventional Maximum Power Point Tracking Methods in Photovoltaic Systems by Süleyman Emre Eyimaya

“…This study investigates the performance of different maximum power point tracking (MPPT) methods in a photovoltaic (PV) energy system, focusing on Artificial Neural Networks (ANNs), reinforcement learning (RL), and conventional MPPT approaches. …”
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