[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques
X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …
such a device is capable of continuous and reversible response and should not damage the …
[HTML][HTML] Nanomaterials as transmitters of non-viral gene vectors: A review
With the rapid development of nanotechnology in the recent decade, novel DNA and RNA
delivery systems for gene therapy have become available that can be used instead of viral …
delivery systems for gene therapy have become available that can be used instead of viral …
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
W Shan, Z Qiao, AA Heidari, H Chen… - Knowledge-Based …, 2021 - Elsevier
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
Recurrent floods are one of the major global threats among people, particularly in
develo** countries like India, as this nation has a tropical monsoon type of climate …
develo** countries like India, as this nation has a tropical monsoon type of climate …
[HTML][HTML] Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards
It is important to develop the integrated flood and landslide modeling system driven by radar
and satellite to predict these hazards to mitigate their damages. In this study, we investigated …
and satellite to predict these hazards to mitigate their damages. In this study, we investigated …
Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach
This study proposed a novel double machine learning (DML) approach to merge multiple
satellite-based precipitation products (SPPs) and gauge observations, and tested its …
satellite-based precipitation products (SPPs) and gauge observations, and tested its …
Disentangling the relative impacts of climate change and human activities on arid and semiarid grasslands in Central Asia during 1982–2015
In recent decades, climate change and human activities have severely affected grasslands
in Central Asia. Grassland regulation and sustainability in this region require an accurate …
in Central Asia. Grassland regulation and sustainability in this region require an accurate …
Decision tree based ensemble machine learning approaches for landslide susceptibility map**
The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China
To improve the accuracy of quantitative precipitation estimation (QPE), numerous models
have been developed for merging satellite and gauge precipitation. However, most …
have been developed for merging satellite and gauge precipitation. However, most …