[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] Polymeric membranes on base of PolyMethyl methacrylate for air separation: a review
E Kianfar, V Cao - Journal of Materials Research and Technology, 2021 - Elsevier
Widespread applications of O 2 and N 2 especially in the oil, gas, and petrochemical
industries have put air separation process into the center of attention among researchers …
industries have put air separation process into the center of attention among researchers …
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection
The slime mould algorithm (SMA) is a logical swarm-based stochastic optimizer that is easy
to understand and has a strong optimization capability. However, the SMA is not suitable for …
to understand and has a strong optimization capability. However, the SMA is not suitable for …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
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 …
Non-polynomial framework for stress and strain response of the FG-GPLRC disk using three-dimensional refined higher-order theory
This article presents a non-polynomial framework for bending responses of functionally
graded-graphene nanoplatelets composite reinforced (FG-GPLRC) disk based upon three …
graded-graphene nanoplatelets composite reinforced (FG-GPLRC) disk based upon three …
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
developing countries like India, as this nation has a tropical monsoon type of climate …
developing countries like India, as this nation has a tropical monsoon type of climate …
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping
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 …
Enhanced Harris hawks optimization with multi-strategy for global optimization tasks
Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …
Random learning gradient based optimization for efficient design of photovoltaic models
W Zhou, P Wang, AA Heidari, X Zhao… - Energy Conversion and …, 2021 - Elsevier
How to effectively realize the parameter identification of different photovoltaic models has
gradually become a research hotspot. This paper proposes an improved gradient-based …
gradually become a research hotspot. This paper proposes an improved gradient-based …
Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems
This paper proposed a novel multi-objective non-sorted Harris Hawks Optimizer (NSHHO)
part of the recently developed Harris Hawks Optimizer (HHO) based on an elitist non …
part of the recently developed Harris Hawks Optimizer (HHO) based on an elitist non …