Assessing the Efficiency of Deep Learning Methods for Automated Vehicle Registration Recognition for University Entrance by Muhammad Syaqil Irsyad, Zarina Che Embi, Khairil Imran Bin Ghauth

“…The results show the system's potential to be easily adapted to different camera systems, angles, and lighting conditions by retraining the deep learning model. The paper also explores various deep learning methods, such as CenterNet, EfficientDet, and Faster R-CNN, and their effectiveness in automated vehicle registration detection. …”
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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

“…In this article, cancer types were classified with machine learning methods using the Visual Analog Scale (VAS), Karnofsky performance scale, ECOG, Katz and Bartel scores to determine the quality of life of cancer patients receiving home health care. …”
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Prediction of reduced sound wave intensity in floor systems using machine learning methods by Hamid Mohammadnezhad, Fardin Jafari, Nahad Sedighi

“…The required data for machine learning methods were obtained by simulation of different floor systems with varying material and thickness in the INSUL software. …”
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Review on music emotion analysis using machine learning: technologies, methods, datasets, and challenges by Sheetal Patil, Rudragoud Patil, Shweta Goudar, Sangeeta Sangani, R. H. Goudar

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Quantifying uncertainty in foraminifera classification: How deep learning methods compare to human experts by Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen

“…Uncertainty estimation in deep learning has gained significant attention and many methods have been developed. …”
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A Movie Recommender System Based on Topic Modeling using Machine Learning Methods by Mojtaba Kordabadi, Amin Nazari, Muharram Mansoorizadeh

“…This research is motivated by the need to extract movie features using information retrieval methods in order to provide effective suggestions. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…The review part included 20 years of Russian and English publications on microscopic research methods in ice cream production indexed in Web of Science and Russian Research Citation Index. …”
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Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

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Machine learning methods for predicting residual strength in corroded oil and gas steel pipes by Qiankun Wang, Hongfang Lu

“…We analyze various machine learning models, data preprocessing methods, and evaluation metrics used in existing research. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…As the core equipment in ship power systems, the accurate and real-time diagnosis of ship diesel engine faults directly affects navigation safety and operation efficiency. Existing methods (e.g., expert systems, traditional machine learning) can hardly cope with the complex failure modes and dynamic operation environment due to the problems of relying on artificial features and insufficient generalization ability. …”
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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation by Lars H. B. A. Daenen, Joël de Bruijn, Nick Staut, Frank Verhaegen

“…Furthermore, ensemble learning, combining predictions of multiple 2D models, and partially-supervised learning (PSL), enabling training on partially-labeled datasets, have not been explored for preclinical purposes. …”
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LEARNING BUSINESS ENGLISH – NEW CHALLENGES AND METHODS: FROM COURSEBOOKS TO TECHNOLOGY BASED STRATEGIES by ABRUDAN Cristina-Laura, HOREA Ioana-Claudia

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Machine Learning‐Accelerated Reconstruction of Periodic Nanostructures with X‐ray Fluorescence Spectroscopy Methods by Vinh‐Binh Truong, Analía Fernández Herrero, Kas Andrle, Victor Soltwisch, Philipp Hönicke

Subjects: “…finite element method…”
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Predicting Credit Card Fraud using Supervised Machine Learning Methods: Comparative Analysis by Güner Altan, Metin Recep Zafer

“…In addition, payment methods have become easier with the digital age. An expenditure, made from even a distant corner of the World, takes place instantaneously through the Internet. …”
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Machine learning-based inertia estimation in power systems: a review of methods and challenges by Santosh Diggikar, Arunkumar Patil, Siddhant Satyapal Katkar, Kunal Samad

“…The study categorizes ML techniques into supervised learning (SL), unsupervised learning (USL), semi-supervised learning (SSL), and reinforcement learning (RL), highlighting their applications, advantages, and limitations. …”
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Cancer predictive model derived from bioimpedance measurements using machine learning methods by José Luis García Bello, Taira Batista Luna, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta

“…Methods: We conducted a pilot random study containing 2881 female (1220) and male (1661) patients ranging in age between 19 to 96 years old are studied. …”
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What factors enhance students' achievement? A machine learning and interpretable methods approach. by Hui Mao, Ribesh Khanal, ChengZhang Qu, HuaFeng Kong, TingYao Jiang

“…Through interpretable AI techniques, we identify several key patterns: (1) Machine learning with explainability methods effectively reveals nuanced factor-achievement relationships; (2) Behavioral metrics (hw_score, ans_score, discus_score, attend_score) show consistent positive associations; (3) High-achievers demonstrate both superior collaborative skills and preference for technology-enhanced environments; (4) Gamification frequency (s&v_num) significantly boosts outcomes; while (5) Assignment frequency (hw_num) exhibits counterproductive effects. …”
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Estimating chlorophyll content in tea leaves using spectral reflectance and deep learning methods by Yuta Tsuchiya, Yuhei Hirono, Rei Sonobe

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Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

“…This paper tests the reliability and applicability of Explainable AI (XAI) methods using a deep learning method that predicts CP by analyzing skeletal data extracted from video recordings of infant movements. …”
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Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods by Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu

“…Machine learning methods were then used to identify three hub genes as potential diagnostic markers for AA. …”
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