An Optimization Approach for Convolutional Neural Network Using Non-Dominated Sorted Genetic Algorithm-Ⅱ

In computer vision,convolutional neural networks have a wide range of uses.Images representmost of today’s data,so it’s important to know how to handle these large amounts of data efficiently.Convolutional neural networks have been shown to solve image processing problems effectively.However,when designing the network structure for a particular problem,you need to adjust the hyperparameters for higher accuracy.This technique is time consuming and requires a lot of work and domain knowledge.Designing a convolutional neural network architecture is a classic NP-hard optimization challenge.On the other hand,different datasets require different combinations of models or hyperparameters,which can be time consuming and inconvenient.Various approaches have been proposed to overcome this problem,such as grid search limited to low-dimensional space and queuing by random selection.To address this issue,we propose an evolutionary algorithm-based approach that dynamically enhances the structure of Convolution Neural Networks(CNNs)using optimized hyperparameters.This study proposes a method using Non-dominated sorted genetic algorithms(NSGA)to improve the hyperparameters of the CNN model.In addition,different types and parameter ranges of existing genetic algorithms are used.Acomparative study was conducted with various state-of-the-art methodologies and algorithms.Experiments have shown that our proposed approach is superior to previous methods in terms of classification accuracy,and the results are published in modern computing literature.

Screening for arboviruses in healthy blood donors: Experience from Karachi, Pakistan

Dear Editor,Arboviruses of medical importance are maintained in nature in enzootic cycles between haematogenous vectors and susceptible vertebrate hosts(Huang et al.,2019).The rapid increase in human populations around the globe and the associated urbanization are creating irreversible damage to the ecosystem,giving rise to many problems including emergence and intensification of the vector borne diseases(Sutherst,2004).Among vector borne diseases,mosquito-borne arboviruses including dengue virus(DENV),West Nile virus(WNV),Japanese Encephalitis virus(JEV)and Zika virus(ZIKV)are rapidly emerging in the affected regions of the world(Palmer et al.,2011).