ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...

When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time ...

Abstract: The purpose of this paper is to compare the effectiveness of two data transformation methods for categorical text variables: one hot encoding and hashing_trick. The analysis was performed ...

School of Mechanical Engineering, Zhejiang Sci-Tech University, 928/2 Main Street, Xiasha Higher Education Park, Xiasha Street, Jianggan, Hangzhou 310018, China Article Views are the COUNTER-compliant ...

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

Many machine learning packages require string characteristics to be translated to numerical representations in order to the proper functioning of models. String characteristics in datasets often ...

One hot encoding is crucial for converting categorical data into a numerical format suitable for machine learning models. Data preprocessing is an essential step before building deep learning models, ...

Abstract: This work discusses the use of two fault-tolerant techniques, duplication with self-checking and triple modular redundancy, for one-hot encoding FSM in SRAM-based techniques. The FSM ...