[HTML][HTML] Predictive analysis for removing obstacles in electric mobility: Revolution into EV adoption
This study aims to get insights into the overall consumer opinion of electric vehicles (EVs)
and the obstacles that hinder their broad adoption. This study seeks to uncover and …
and the obstacles that hinder their broad adoption. This study seeks to uncover and …
Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification
In the realm of pulmonary medicine, prognostic assessment of Idiopathic Pulmonary Fibrosis
(IPF) poses a significant challenge, necessitating advancements in predictive analytics. This …
(IPF) poses a significant challenge, necessitating advancements in predictive analytics. This …
Optimising rooftop photovoltaic adoption in urban landscapes: A system dynamics approach for sustainable energy transitions
Rooftop agriculture for food production and photovoltaic (PV) panels for energy generation
are two examples of how urban functional design presents a potential alternative to multi …
are two examples of how urban functional design presents a potential alternative to multi …
ML computational inference techniques and indicator metrics for analyzing uncertainties in stock market data
In a growing demand of accurately predicting the stock market and inefficient complex
markets the rising accurate relationship prediction is not adequately addressed by the …
markets the rising accurate relationship prediction is not adequately addressed by the …
A novel power quality-improved high-step-up-gain Luo converter-powered BLDC motor drive with model reference adaptive controller for electric vehicles
This manuscript suggests an advanced high-step-up-gain Luo converter-fed brushless DC
motor (BLDCM) drive for enhancing the power quality by using artificial neural network …
motor (BLDCM) drive for enhancing the power quality by using artificial neural network …
Automated yoga pose recognition using enhanced chicken swarm optimization with deep learning
In modern society, yoga is one of the popular types of exercise. To do this exercise, there is
a need for training on how to do accurate yoga postures. This is because performing …
a need for training on how to do accurate yoga postures. This is because performing …
Reliability assessment of photovoltaic quasi Z-source inverter through stochastic modeling
Reliable operation of power electronic converters is a critical issue since all power
generation industries involve them. So many stress causing factors such as temperature …
generation industries involve them. So many stress causing factors such as temperature …
Elevating optical networks: Machine learning approach for optimal resource scheduling and performance boost
NK SS, A Jain, R Bhatt, SK Sinha… - International Journal …, 2024 - Wiley Online Library
The increasing demand for massaging networks that are stable and quick needs
reevaluations of standard optical networking administration strategies. To improve the …
reevaluations of standard optical networking administration strategies. To improve the …
A Reconfigured Architecture of Mathematical Morphology Using Fuzzy Logic Controller for ECG QRS Detection
This work involves the design of a VLSI (Very Large-Scale Integration) architecture for
mathematical morphology using the FLC (Fuzzy Logic Controller) for ECG …
mathematical morphology using the FLC (Fuzzy Logic Controller) for ECG …
Key point trajectory prediction method of human stochastic posture falls
Y Ding, G Zhang - Network: Computation in Neural Systems, 2024 - Taylor & Francis
The human body will show very complex and diversified posture changes in the process of
falling, including body posture, limb position, angle and movement trajectory, etc. The …
falling, including body posture, limb position, angle and movement trajectory, etc. The …