A recent connected vehicle-IoT automotive application based on communication technology

TC Phan, P Singh - International journal of data informatics and …, 2023 - ijdiic.com
Realizing the full potential of vehicle communications depends in large part on the
infrastructure of vehicular networks. As more cars are connected to the Internet and one …

IoT based energy management strategy for hybrid electric storage system in EV using SAGAN-COA approach

P Shanmugapriya, TS Kumar, S Kirubadevi… - Journal of Energy …, 2024 - Elsevier
An effective way to increase the lifespan of electric vehicles'(EVs) batteries is through hybrid
electric storage systems,(HESS). The strength and variation of the charging and discharging …

Research on a Small-Sample Fault Diagnosis Method for UAV Engines Based on an MSSST and ACS-BPNN Optimized Deep Convolutional Network

S Li, Z Liu, Y Yan, K Han, Y Han, X Miao, Z Cheng… - Processes, 2024 - mdpi.com
Regarding the difficulty of extracting fault information in the faulty status of UAV (unmanned
aerial vehicle) engines and the high time cost and large data requirement of the existing …

AI enabled crypto mining for electric vehicle systems

SR Rammohan, A Jayanthiladevi - International Journal of Data …, 2023 - ijdiic.com
A virtual grid (VG) is an interconnected system that includes a decentralized power plant,
flexible loads, and energy storage facilities. During peak demand, a VG can distribute the …

Automatic Recognition of Vehicle Exhaust Remote Sensing Data Based on Convolution Neural Network Inception Algorithm

G Peng, Z Xing, D Liu, Y Mai, D Jin, S Wang - International Journal of …, 2025 - Springer
Vehicle exhaust emissions are a significant factor causing urban environmental pollution in
China. Anomaly detection in vehicle exhaust remote sensing data presents challenges due …

Establish intelligent fault detection in electrical power system: evolutionary computation in industrial IoT environments

DA Juraev, M Israr - International Journal of Data Informatics and …, 2024 - ijdiic.com
A study was conducted on deep transferrable learning techniques for diagnosing faults in
building energy frameworks. The research focused on scenarios for cross-operational and …