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Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction: Insights From the PURSUIT‐HFpEF Study
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222
Fruit size prediction of tomato cultivars using machine learning algorithms
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223
Modal Logic, Probability and Machine Learning Systems for Metadata Extraction
Published 2024-12-01Subjects: “…modal logic, probability, logical reasoning, machine learning systems…”
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224
QR-DeepONet: resolve abnormal convergence issue in deep operator network
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225
Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach
Published 2025-02-01Subjects: “…Machine learning…”
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226
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On the assessment and reliability of political and ideological education in colleges using deep learning methods
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228
A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing moduleMendeley Data
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229
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Inflammatory Gene Signature Identified by Machine Algorithms Reveals Novel Biomarkers of Coronary Artery Disease
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231
The Algorithm for Predicting the Numerical Value of Salivary Cortisol Based on Heart Rate Variations in the Healthy Men
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232
Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
Published 2024-07-01Subjects: “…Machine Learning, Renewable Energy, Solar Irradiance, Weather Prediction.…”
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233
Tracing the change of the volatile compounds of soy sauce at different fermentation times by PTR-TOF-MS, E-nose and GC–MS
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234
Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search
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235
Enhancing Image-Based JPEG Compression: ML-Driven Quantization via DCT Feature Clustering
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236
ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease
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237
Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
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238
A data driven approach for soft tissue biomarker identification linked to Chiari-like malformation and syringomyelia
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239
MASC: Wearable Design for Infectious Disease Detection Through Machine Learning
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240
The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children
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