Suggested Topics within your search.
Suggested Topics within your search.
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An enhanced pivot-based neural machine translation for low-resource languages
Published 2025-05-01“…The data collecting approach entailed extracting parallel texts from internet sources, followed by pre-processing through tokenization, normalization, and stop-word elimination algorithms. The prepared datasets were utilized to train and assess the NMT models. …”
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Distinguishing Human Journalists from Artificial Storytellers Through Stylistic Fingerprints
Published 2024-12-01“…<b>Methods/Approach</b>: We used machine learning algorithms and trained five classifiers to distinguish journalistic news articles from their AI-generated counterparts based on various lexical, syntactic, and readability features. …”
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Robust Color Image Encryption Scheme Based on RSA via DCT by Using an Advanced Logic Design Approach
Published 2023-12-01Get full text
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The canyon of Haidamatskyi Iar in the village of Busha: Geotourism assessment
Published 2025-09-01“…For each algorithm, we presented results as a percentage of the maximum for easier comparison. …”
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Jet substructure probe on scalar leptoquark models via top polarization
Published 2025-07-01Get full text
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab
Published 2025-06-01“…The results showed that HLT, designed in stages, improved the four main components of CT: decomposition, abstraction, pattern recognition, and algorithmic thinking. The students experienced improvements in breaking down problems, devising more efficient solutions, recognising patterns in code structures, and systematically designing algorithms. …”
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Development and Prospects of National Intelligent System for Testing General Language Competencies Deployed Through Neural Network Solutions
Published 2023-09-01“…The process of ISTOK development implied, apart from writing test items, putting together databases of writing and speaking assignments marked by professional assessors and assessment criteria for productive skills, as well as algorithms to identify various types of mistakes with the help of artificial intelligence. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution
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Research Progress on Sequence Recommendation Based on Deep Learning and Large Language Model
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Analyzing the applicability of psychometric QoE modeling for projection-based point cloud video quality assessment
Published 2024-11-01“…Thus, real-time quality monitoring and prediction mechanisms are key to allow for fast countermeasures in case of QoE decrease. …”
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Fibrosis-4plus score: a novel machine learning-based tool for screening high-risk varices in compensated cirrhosis (CHESS2004): an international multicenter study
Published 2025-07-01“…Shapley Additive exPlanations method was used to interpret the model predictions. Results We analyzed data from 502 patients with compensated cirrhosis who underwent EGD screening. …”
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IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery
Published 2025-06-01“…To address this, this study proposes an interpretable graph representation model for accurate plant RRI prediction. The model enriches sample information by extracting features of different bases from plant RNA data and reconstructs these features using an algorithmic hierarchy approach to capture more complex patterns. …”
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A simple and efficient plasticity-fracture constitutive model for confined concrete
Published 2015-01-01“…A plasticity-fracture constitutive model is presented for prediction of the behavior of confined plain concrete. …”
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Advancing agriculture with machine learning: a new frontier in weed management
Published 2025-06-01“…Validation and refinement of these algorithms are needed for practical application.…”
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