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Analysis Use Motivation Study Student in Islamic Religious Education Learning Using the PAKEM Method in Senior High Schools
Published 2024-12-01“…Relationship is the aspect with the highest score, indicating students' perceptions of the practical value of PAI in their lives, followed by satisfaction, reflecting the success of the method in creating a positive and satisfying learning experience. …”
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542
The effectiveness of e-learning in focused cardiac ultrasound training: a prospective controlled study
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543
Attitude and Challenges of Indian Medical Undergraduate Students in Learning Ophthalmology at Puducherry, Southern India: A Mixed-method Study
Published 2025-08-01“…Further, to explore the experiences, perceived factors influencing learning and suggestions for improvement in teaching and learning ophthalmology among medical undergraduate students at Puducherry, Southern India. …”
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544
A Systematic Literature Review of Current Machine Learning Approaches for Detecting GNSS Spoofing Attacks
Published 2025-01-01“…Most detection methods are based on supervised learning methods or neural networks and have mainly been tested through simulations. …”
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545
Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma
Published 2019-10-01“…Here, we employed a trained stemness index model based on an existent one‐class logistic regression (OCLR) machine‐learning method to score MB samples; we then obtained two stemness indices, a gene expression‐based stemness index (mRNAsi) and a DNA methylation‐based stemness index (mDNAsi), to perform an integrated analysis of MB stemness in a cohort of primary cancer samples (n = 763). …”
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546
A BERT-based rice enhancer identification model combined with sequence-representation differential entropy interpretation
Published 2025-06-01“…Enhancers, as key elements regulating the spatiotemporal-specific expression of genes, represent a core challenge in functional genomics due to their precise identification requirements. Current deep learning-based methods for rice enhancer identification face limitations primarily in feature extraction efficiency and the generalization capabilities of model architectures. …”
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547
Handling method for GPS outages based on PSO-LSTM and fading adaptive Kalman filtering
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548
A Titanium Alloy Defect Detection Method Based on Optical–Acoustic Image Fusion
Published 2025-07-01“…To address this limitation, this paper proposes a titanium alloy defect detection method based on optical–acoustic image fusion. A detection system was developed to achieve comprehensive and precise inspection of titanium alloys by integrating advanced deep learning-based optical testing technology, reliable C-scan ultrasonic detection technology, and information fusion techniques. …”
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549
GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer
Published 2025-05-01“…The task for SRR in this model is image-based. Specifically, the purpose of a novel and robust hybrid feature extraction module is to capture individual characteristics, relative positional information, and group-level cues, which are used to construct relation nodes and group nodes. …”
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550
Orbital Analysis of a Dual Asteroid System Explorer Based on the Finite Element Method
Published 2024-11-01“…By introducing the application of the finite element method, detailed analysis of spacecraft orbit characteristics, and a stability characterization method based on a cloud model, this paper systematically explores the logic and structure of spacecraft orbit planning in a dual asteroid system.…”
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551
A method for English paragraph grammar correction based on differential fusion of syntactic features.
Published 2025-01-01“…Then carry out difference fusion analysis, measure the syntactic differences of adjacent sentences by cosine similarity, identify the significant differences caused by grammatical errors according to the preset threshold, lock the position and type of errors, and input the original sentence vector into the Seq2Seq model based on Transformer. …”
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552
UHVDC Transmission Line Fault Identification Method Based on Generalized Regression Neural Network
Published 2025-04-01“…A protection method for ultra-high voltage direct current transmission lines based on generalized regression neural network (GRNN) is proposed to address the issues of easy rejection and long fault detection time in ultra-high voltage direct current protection. …”
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553
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Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks
Published 2025-04-01“…This classification process involves discriminating whether each azimuth-range cell in the Range-Doppler (RD) map is overland or sea. Traditional deep learning methods for this task require extensive, high-quality, and class-balanced labeled samples, leading to long training periods and high costs. …”
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556
The Effectiveness of Project-Based Differentiated Learning in Improving Descriptive Writing Skills : A Study of Elementary School Students
Published 2025-07-01“…In addition, qualitative results showed that students had positive perceptions of this learning method. This study provides recommendations for elementary school teachers to consider project-based differentiated learning for more effective teaching and contribute to increasing students' motivation and confidence in learning.…”
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557
Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar
Published 2025-01-01“…The proposed method effectively captures the dynamic evolution of fractures and provides reliable spatial positioning of fracture endpoints, offering a valuable tool for real-time monitoring and early warning of potential rock mass instabilities. …”
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558
Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods
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559
An intelligent simplification method for river networks with an unsupervised variational autoencoder
Published 2025-08-01“…Finally, the Decoder decoded the samples, mapped the latent variables back to the dimensions and distributions of the original data, and reconstructed the data as close as possible to the inputs and the river network based on the target scale. The experimental results showed that compared with the classical Douglas-Peucker, Wang-Müller, and Visvalingam-Whyatt algorithms, this method was superior in terms of preserving the overall structure, position, shape, and local morphology of the simplified river network.…”
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560
Integrating virtual reality and problem-based learning in STEM education: A contextual approach to enhance mathematical literacy through cultural heritage
Published 2025-07-01“…Students also provided positive feedback regarding the developed learning program. …”
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