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Non-Destructive Methods Based on Machine Learning for the Prediction of Sweet Potato Leaf Area: A Comparative Approach
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202
The System of Forensic Activity Digitalization Theory
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203
Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models
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204
Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends
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205
Machine learning models and dimensionality reduction for improving the Android malware detection
Published 2024-12-01Subjects: “…Machine Learning algorithms…”
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206
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Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms
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208
Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale
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209
Improving the accuracy of honey bee forage class mapping using ensemble learning and multi-source satellite data in Google Earth Engine
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210
Wearable IoT (w-IoT) artificial intelligence (AI) solution for sustainable smart-healthcare
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211
Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning
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212
Sex classification accuracy through machine learning algorithms - morphometric variables of human ear and nose
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213
Integration of AI in Self-Powered IoT Sensor Systems
Published 2025-06-01Subjects: “…machine learning algorithms…”
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214
Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data
Published 2025-04-01Subjects: “…machine learning algorithms…”
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215
A deep learning model for diagnosis of inherited retinal diseases
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216
Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms
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217
Establishment and assessment of an early screening model for cervical cancer based on single-cell Raman spectroscopy combined with machine learning algorithms
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Bond behavior of galvanized iron fiber reinforced concrete with recycled coarse aggregate and model prediction using machine learning
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220
Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors
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