Non-conformance cost is one of the key performance indicators in determining the success of executing a project. This study will substantiate the significance of two consecutive fiscal years of non-conformance cost da...
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Dysarthric speech reconstruction (DSR) aims to transform dysarthric speech into normal speech by improving the intelligibility and naturalness. This is a challenging task especially for patients with severe dysarthria...
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Portfolio selection maximizes investment returns with acceptable risk. Mean-variance (MV) and Safety-first (SF) are two methods to achieve this goal. MV explains that an investor will choose an investment with a high ...
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The COVID-19 pandemic is undoubtedly causing new habits that will affect several sectors around the world. The hotel business has taken a significant impact as a result of the physical distance regulation. Although nu...
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Identifying fruit disease manually is time-consuming, expertrequired,and expensive;thus, a computer-based automated system is widelyrequired. Fruit diseases affect not only the quality but also the *** a result, it is...
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Identifying fruit disease manually is time-consuming, expertrequired,and expensive;thus, a computer-based automated system is widelyrequired. Fruit diseases affect not only the quality but also the *** a result, it is possible to detect the disease early on and cure the fruitsusing computer-based techniques. However, computer-based methods faceseveral challenges, including low contrast, a lack of dataset for training amodel, and inappropriate feature extraction for final classification. In thispaper, we proposed an automated framework for detecting apple fruit leafdiseases usingCNNand a hybrid optimization algorithm. Data augmentationis performed initially to balance the selected apple dataset. After that, twopre-trained deep models are fine-tuning and trained using transfer ***, a fusion technique is proposed named Parallel Correlation Threshold(PCT). The fused feature vector is optimized in the next step using a hybridoptimization algorithm. The selected features are finally classified usingmachine learning algorithms. Four different experiments have been carriedout on the augmented Plant Village dataset and yielded the best accuracy of99.8%. The accuracy of the proposed framework is also compared to that ofseveral neural nets, and it outperforms them all.
This study proposes a model based on machine learning(ML) for predicting the thickness of a coil in a steel rolling process. To achieve this objective, it is necessary to establish an engineering strategy based on dat...
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A convolutional autoencoder (CAE)-based damage evaluation method that uses frequency response functions as features was studied. A compression test was conducted on a box-section steel column to introduce out-of-plane...
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The Histogram of Oriented Gradients (HOG) algorithm is widely utilized in image processing for tasks such as detection, classification, and tracking. However, several challenges arise when implementing this algorithm ...
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This study uses a conjoint analysis approach to determine the key factors influencing subscriber preferences for subscribing to Netflix plan. In a rapidly evolving industry, understanding the drivers of subscription c...
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ISBN:
(数字)9798350386097
ISBN:
(纸本)9798350386103
This study uses a conjoint analysis approach to determine the key factors influencing subscriber preferences for subscribing to Netflix plan. In a rapidly evolving industry, understanding the drivers of subscription choices is critical for market success. Through a designed survey, respondents are presented with different hypothetical Netflix subscription plans characterized by attributes such as price, resolution, same time watch device, downloadable device and device specs. By analyzing respondents’ answers from these attributes, researchers aim to find out the relatedness of each attribute and levels with the subscription preference. The study’s findings can help Netflix make more strategic decisions about plan options and pricing policies, so that it can better serve the wide range of demands and tastes of customers in the cutthroat streaming market.
The production and delivery of ready-mixed concrete consist of several activities which expose employees to considerable safety hazards that lead to occupational accidents. The study aimed to determine the significant...
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