[HTML][HTML] Molecular modeling investigation on mechanism of diazinon pesticide removal from water by single-and multi-walled carbon nanotubes

X Fu, AMH Wais, Y Yasin, IT Ibrahim, AS Ali… - Ecotoxicology and …, 2023 - Elsevier
In this study, the mechanism of diazinon adsorption on single-walled carbon nanotubes
(SWNTs), as well as multi-walled carbon nanotubes (MWNTs), was investigated using …

Optimal Electricity Load Interruption Based on Time Series Classification with Super Learner and Feature Filtering

SO Akinola, P Olukanmi, QG Wang, T Marwala - IEEE Access, 2024 - ieeexplore.ieee.org
Load-shedding is vital for managing electrical power shortages and avoiding grid collapse.
However, excessive electricity demand poses an imminent threat to the overall stability of …

[PDF][PDF] An Efficient DenseNet for Diabetic Retinopathy Screening.

SC Pravin, SPK Sabapathy, S Selvakumar… - International Journal of …, 2023 - academia.edu
This study aims to propose a novel deep learning framework, ie, efficient DenseNet, for
identifying diabetic retinopathy severity levels in retinal images. Diabetic retinopathy is an …

Unveiling the potential activities of myriad carbonaceous nanomaterials in scaling and fabrication of miniaturized, sensitive, and economical medical diagnostic kits

L Chen, IL Lai, K Murugan, DJH Shyu - Carbon-Based Nanomaterials in …, 2024 - Elsevier
The applications of nanomaterials have attracted the attention of many scientists. Various
nanomaterials are found to be suitable for different fields, such as those used as …

Stacked Heterogeneous Learner with Feature Filtering for Time Series Classification of Electricity Load Interruption

SO Akinola, W Qingguo, P Olukanmi… - Available at SSRN … - papers.ssrn.com
Accurate electrical power interruption classification remains a challenge, when uncertainties
arise from interruptions such as undervoltage load shedding, transient voltage instability …