ZnO nanostructures–Future frontiers in photocatalysis, solar cells, sensing, supercapacitor, fingerprint technologies, toxicity, and clinical diagnostics
Zinc is the most abundant and broadly studied metal oxide semiconductor. Its photophysical
properties include optical, electrical, magnetic, catalytic, sensing, energy storage …
properties include optical, electrical, magnetic, catalytic, sensing, energy storage …
Acetylene black doped zinc oxide (AB-ZnO) nanorods activated peroxydisulfate for degradation of dyeing wastewater
L Wang, Z Yuan, H Wang, S Liu, D Gao, Y Li - Materials Chemistry and …, 2024 - Elsevier
Zinc oxide (ZnO) nanorods and acetylene black (AB) doped ZnO (AB-ZnO) nanorods were
fabricated by the hydrothermal method, and characterized by various methods (XRD, EDS …
fabricated by the hydrothermal method, and characterized by various methods (XRD, EDS …
Seaweed biomass as a sustainable resource for synthesis of ZnO nanoparticles using Sargassum wightii ethanol extract and their environmental and biomedical …
Y Bai, Y Cao, Y Sun, FA Alfaiz, HAL Garalleh… - Environmental …, 2024 - Elsevier
Zinc oxide nanoparticles (ZnO) possess unique features that mak them a common matter
among different industries. Nevertheless, traditional models of synthesizing ZnO-NPs are …
among different industries. Nevertheless, traditional models of synthesizing ZnO-NPs are …
Research on Pedestrian Detection and Head Counting Algorithm Based on Computer Vision
P Wang - 2023 2nd International Conference on Artificial …, 2023 - ieeexplore.ieee.org
This thesis focuses on the research of computer vision-based pedestrian detection and
crowd counting algorithms, aiming to enhance their accuracy and robustness in practical …
crowd counting algorithms, aiming to enhance their accuracy and robustness in practical …
Research on computer vision-based electrical energy measurement equipment recognition and thermal anomaly detection methods
X Wang, X Yi, L Kong, H Li… - … Conference on Energy …, 2024 - spiedigitallibrary.org
The aim of this paper is to propose a deep learning-based method for pedestrian re-
identification, which achieves recognition across different cameras, time periods, and …
identification, which achieves recognition across different cameras, time periods, and …