A NOVEL PREDICTION MODEL FOR THE SALES CYCLE OF SECOND-HAND HOUSES BASED ON THE HYBRID KERNEL EXTREME LEARNING MACHINE OPTIMIZED USING THE IMPROVED CRESTED PORCUPINE OPTIMIZER

A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer

Second-hand housing transactions are an important part of the housing market.Due to the dual influence of location and price, the sales cycle of second-hand housing has shown significant diversity.As a result, when residents sell or buy second-hand houses, they often cannot accurately and quickly evaluate the cycle of the second-hand house; thus, t

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Class Year Differences in Anthropometric and Fitness Measures in Division I Field Hockey Athletes Pre and Post Season

Indoor Localization Algorithms for an Ambulatory Human Operated 3D Mobile Mapping System.The purpose of this study was to investigate the way in which anthropometric and fitness measures vary by class year before and after a Division I female field hockey competitive season.Anthropometric (mass and percent body fat) and fitness measures (vertical j

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