Recently,outstanding identification rates in image classification tasks were achieved by convolutional neural networks(CNNs).to use such skills,selective CNNs trained on a dataset of well-known images of metal surface...
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Recently,outstanding identification rates in image classification tasks were achieved by convolutional neural networks(CNNs).to use such skills,selective CNNs trained on a dataset of well-known images of metal surface defects captured with an RGB *** must be detected early to take timely corrective action due to production *** image classification up till now,a model-based method has been utilized,which indicated the predicted reflection characteristics of surface defects in comparison to flaw-free *** problem of detecting steel surface defects has grown in importance as a result of the vast range of steel applications in end-product sectors such as automobiles,households,construction,*** processes for detections are time-consuming,labor-intensive,and *** strategies have been used to automate manual processes,but CNN models have proven to be the most effective rather than image processing andmachine learning *** using differentCNNmodels with fine-tuning,easily compare their performance and select the best-performing model for the same kinds of ***,it is important that using different CNN models either from fine tuning can be computationally expensive and ***,our study helps the upcoming researchers to choose the CNN without considering the issues of model complexity,performance,and computational *** this article,the performance of various CNN models like Visual Geometry Group,VGG16,VGG19,ResNet152,ResNet152V2,Xception,InceptionV3,InceptionResNetV2,NASNetLarge,mobileNetV2,and DenseNet201 with transfer learning techniques are *** models were chosen based on their popularity and impact in the field of computer vision research,as well as their performance on benchmark *** to the outcomes,DenseNet201 outperformed the other CNN models and had the greatest detection rate on the NEU dataset,falling in at 98.37 percent.
BACKGROUND Although panic buying(PB)is a ubiquitous behavior,it became prominent during the coronavirus disease 2019 ***,studies are inadequate to explore the different aspects of it,even though it covers several pers...
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BACKGROUND Although panic buying(PB)is a ubiquitous behavior,it became prominent during the coronavirus disease 2019 ***,studies are inadequate to explore the different aspects of it,even though it covers several perspectives of life and academic *** To assess the research that have been conducted on *** A search was conducted to identify the articles in Pubmed,Pubmed Central,Scopus,and Google Scholar using the search term“panic buying”on November 15,2020.A total of 104 articles was extracted from the initial *** removing duplicates and initial and full-text screening,42 articles were included in the *** only considered peer-reviewed published articles that can be downloaded in a full portable document *** published in other languages and preprints were *** Among the 42 articles,27 were original contributions,6 were correspondences,3 were commentaries,3 were review articles,and there was one each for editorial,opinion,and discussion type of *** domains have been researched such as psychology,responsible factors,supply chain,management,disaster preparedness,e-commerce,consumer behavior,marketing,prevention strategies,media,social network,economics,personality,and *** from several disciplines,such as psychiatry,management,economics,business,sales and marketing,consumer behavior,public health,communication,information management,sociology,engineering,business administration,psychology,nursing,health economics,food policy,epidemiology,and community health,have been studied ***,causative model,econometric model,controlling strategy,and measuring instrument have been reported.A total of 18 papers had cross-country collaboration,and ten were funded *** of the authors were affiliated with the institutions of Australia,Bangladesh,China,India,Singapore,and the United *** PB is a relatively newer concept to get the attention of the research communit
Diabetic retinopathy(DR)is the most common cause of visual loss among working age *** macular edema(DmE)is an important complication of DR that affects around one third of the patients with *** treatments have been ap...
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Diabetic retinopathy(DR)is the most common cause of visual loss among working age *** macular edema(DmE)is an important complication of DR that affects around one third of the patients with *** treatments have been approved for DmE ranging from blood pressure and glycemic control to photocoagulation and more recently the use of vascular endothelial growth factor(VEGF)*** index review discusses aflibercept(EYLEA-Regeneron Pharmaceuticals,Inc.,Tarrytown,New York,NY,and Bayer Healthcare Pharmaceuticals,Berlin,Germany)in the context of other VEGF antagonists currently available for the treatment of DmE.A systematic search of literature was conducted on Pubmed,Scopus,and Google Scholar with no limitation on language or year of ***-clinical studies of aflibercept have shown a higher affinity of this molecule for vascular endothelial growth factor A(VEGF-A)along with a longer duration of action as compared to other VEGF *** clinical trials have shown visual outcome results for aflibercept to be similarly favorable as compared to other available agents with the added benefit of fewer required injections and less frequent *** presents a potential exciting new addition to the armamentarium of current VEGF antagonists available for the treatment of DmE and other retinal vascular ***,further studies are indicated to confirm the role,safety,and efficacy of aflibercept for DmE.
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