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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach
Published 2019-01-01Get full text
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804
A Random Forest-Based Predictive Model for Student Academic Performance: A Case Study in Indonesian Public High Schools
Published 2025-06-01“…This research is expected to assist schools in identifying outstanding students, making data-driven decisions, and designing more effective educational strategies.…”
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805
Identification of Alzheimer’s disease biomarkers and their immune function characterization
Published 2024-06-01Get full text
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806
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation
Published 2025-07-01“…The study blinded the analysis team to the data-generation process.Methods: We developed predictive models using generalized additive models and estimated LC parameters using the Levenberg-Marqualdt algorithm. …”
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810
GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model
Published 2025-02-01Get full text
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Towards optimal diabetes therapy management: An evaluation of therapy algorithms for type 2 diabetes mellitus at community health centers (CHCs) in Makassar City, South Sula-wesi,...
Published 2025-02-01“…A cross-sectional study was conducted at five CHCs, involving 299 DM patients, including 108 males and 191 females. Data on demographics (gender, age, education, and occupation) and medication use were collected. …”
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Innovative multi objective optimization based automatic fake news detection
Published 2025-08-01Get full text
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816
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Implementasi Algoritma AES 256 CBC, BASE 64, Dan SHA 256 dalam Pengamanan dan Validasi Data Ujian Online
Published 2023-10-01“…This study proposes applying several cryptographic methods to secure and ensure the authenticity of online exam data using AES 256 CBC, Base 64, and SHA 256 algorithms. …”
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Examining the empathy levels of medical students using CHAID analysis
Published 2025-05-01“…A relational screening model was applied, using a “Personal Information Form” and an “Empathy Scale” to gather data. CHAID analysis was employed to identify the key predictors influencing empathy levels, whereas machine learning algorithms were utilized to classify and predict individuals' empathy levels. …”
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