IEEE

Comparative Analysis of State of Charge Estimation Methods for Li-Ion Batteries Using Kalman Filter Variants and Machine Learning Techniques for Electric Vehicle Applications

Abstract: State of Charge (SoC) measurement accuracy stands as a fundamental requirement to boost both safety and power performance together with energy efficiency in Battery Management Systems (BMS) ...
IEEE

Application of Machine Learning Approaches for Power Estimation of Digital VLSI Circuits at Register Transfer Level

Abstract: In VLSI, estimation of power, performance, and area at appropriate steps during the design process is necessary to meet required specifications. In digital VLSI circuit design, early-stage ...
GitHub

IRMSD: Fast structural RMSD computation

IRMSD is a Python library for computing the optimal root-mean-square-deviation between pairs of structures (e.g., protein conformations). It is based on the Theobald QCP method, and because of an ...
ascopubs.org

Time Series Prediction of Lung Cancer Death Rates on the Basis of SEER Data

Three models for yearly time series predictions were built: autoregressive integrated moving average (ARIMA), simple exponential smoothing (SES), and Holt's double expansional smoothing (HDES) models.
GitHub

Amazon Bin Image Dataset(ABID) Challenge

The Amazon Bin Image Dataset contains images and metadata from bins of a pod in an operating Amazon Fulfillment Center. The bin images in this dataset are captured as robot units carry pods as part of ...