Manufacturing of lithium battery toward deep-sea environment
Y Zhao, N Li, K Xie, C Wang, S Zhou… - … Journal of Extreme …, 2024 - iopscience.iop.org
The operation of deep-sea underwater vehicles relies entirely on onboard batteries.
However, the extreme deep-sea conditions, characterized by ultrahigh hydraulic pressure …
However, the extreme deep-sea conditions, characterized by ultrahigh hydraulic pressure …
A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection
Traditional analog and digital meters are being substantially replaced with technological
advances and the Internet of Things (IoT) introduction. The smart meter is highly preferred …
advances and the Internet of Things (IoT) introduction. The smart meter is highly preferred …
Cricket Player Prediction of Role in a Team Using ML Techniques
MKD Trinadh, ST Sangeetha, K Deepa… - … Conference on E …, 2024 - ieeexplore.ieee.org
Cricket is one of the most popular sports in the world. In India, admiration for cricket is very
huge for playing and as well as in viewing. When considering the aspect of players, who …
huge for playing and as well as in viewing. When considering the aspect of players, who …
Battery's Cell Performance with Comparative Analysis of DeepTCN, TL, LSTM and GRU using Synthetic Dataset
KR Annamalai, K Deepa, A Jha - 2024 5th International …, 2024 - ieeexplore.ieee.org
This study deals with the application of various machine learning (ML) techniques for the
estimation State of Charge (SoC) and State of Health (SoH) in battery management systems …
estimation State of Charge (SoC) and State of Health (SoH) in battery management systems …
Performance Analysis and Implementation of LSTM and GRU based on Synthetic Data
KR Annamalai, A Jha, K Deepa… - … in Technology and …, 2024 - ieeexplore.ieee.org
The goal of this work is to develop artificial dataset through the use of autoencoders, a
solution to the problem of expensive and scarce real-world data for predictive model training …
solution to the problem of expensive and scarce real-world data for predictive model training …
Design and Development of an Underwater Robot for Effective Waste Collection
C Amaldeep, S Arunkumar - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This paper focuses on the development of an underwater robot capable of efficiently
collecting waste from both the water surface and underwater environments. The robot …
collecting waste from both the water surface and underwater environments. The robot …
Closed-Loop AUV Temperature Control Using Internet of Underwater Things-Based Multi-Node Underwater Communication
As the Internet of Things has become an integral part of the modern digitized society,
connecting devices in real-time and exchanging data, its limitation to land needs to be …
connecting devices in real-time and exchanging data, its limitation to land needs to be …