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Abstract: The bearings of double toothed roller crushers in open pit mines are prone to failure during prolonged operation, resulting in reduced productivity and shortened equipment life. Therefore, a ...
The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid ...
Abstract: In this paper, we have used various algorithms such as Gradient Boost Regression, Catboost Regression, Decision Tree Regression and K-neighbors Regression by categorizing predictions based ...
An efficient and faithful Python implementation of the Bounded Multi-Source Shortest Path (BMSSP) algorithm, along with baselines using pure-Python Dijkstra and SciPy-accelerated Dijkstra. This ...
Background: Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of ...
ML(end-to-end)project/ ├── 📁 src/ # Source code │ ├── 📁 components/ # ML pipeline components │ │ ├── data_ingestion.py # Data loading and splitting │ │ ├── data_transformation.py # Data ...