[HTML][HTML] Fleet availability analysis and prediction for shared e-scooters: An energy perspective
E-scooters have become a prevalent mode of transportation in many cities. The availability
of e-scooters is a crucial indicator of service quality but has not been sufficiently …
of e-scooters is a crucial indicator of service quality but has not been sufficiently …
Enhanced Electric Two-Wheeler Performance with Machine Learning-Driven SoC Estimation
C Suman, S Jagwani, M Harshith… - 2024 First International …, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) are becoming more and more popular because of their
environmental commitment and energy efficiency. One of the most important aspects of …
environmental commitment and energy efficiency. One of the most important aspects of …
Development of a Hybrid Intelligence Algorithm to Estimate the Derivative Weight of Dawakin Tofa Clay for Heat Storage
AD Maiwada, AA Adamu, UD Maiwada… - AUIQ Technical …, 2024 - ates.alayen.edu.iq
The accurate prediction of thermogravimetric properties is critical for evaluating the
suitability of natural materials like Dawakin Tofa clay for heat storage applications, but …
suitability of natural materials like Dawakin Tofa clay for heat storage applications, but …
[PDF][PDF] Artificial Intelligence-Driven Strategies for Advancing Lithium-Ion Battery Performance and Safety
AF Omojola, CO Ilabija, C Ifeanyi, JII Onyeka… - researchgate.net
Artificial intelligence (AI) is revolutionizing the development and optimization of lithium-ion
batteries (LIBs), which are critical in modern technologies like energy storage systems and …
batteries (LIBs), which are critical in modern technologies like energy storage systems and …