Typically, magnesium alloys have been designed using a so-called hill-climbing approach, with rather incremental advances over the past century. Iterative and incremental alloy design is slow and expensive, but more i...
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Typically, magnesium alloys have been designed using a so-called hill-climbing approach, with rather incremental advances over the past century. Iterative and incremental alloy design is slow and expensive, but more importantly it does not harness all the data that exists in the field. In this work, a new approach is proposed that utilises datascience and provides a detailed understanding of the data that exists in the field of Mg-alloy design to date. In this approach, first a consolidated alloy database that incorporates 916 datapoints was developed from the literature and experimental work. To analyse the characteristics of the database, alloying and thermomechanical processing effects on mechanical properties were explored via composition-process-property matrices. An unsupervised machine learning(ML) method of clustering was also implemented, using unlabelled data, with the aim of revealing potentially useful information for an alloy representation space of low dimensionality. In addition, the alloy database was correlated to thermodynamically stable secondary phases to further understand the relationships between microstructure and mechanical properties. This work not only introduces an invaluable open-source database, but it also provides, for the first-time data, insights that enable future accelerated digital Mg-alloy design.
The project aims to create an automated system for detecting fungal contamination in dried red chilies using advanced deep learning algorithms such as Convolutional Neural Network (CNN), Visual Geometry Group (VGG16),...
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Change detection (CD) is an important task, which is evaluating changes between bi-temporal images. Hyperspectral images (HSIs), which are very spectrally informative, are excellent at identifying different change cla...
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In recent times, ensuring the safety of women while walking on roads has emerged as an increasingly urgent and complex challenge, with a significant increase in the number of crimes against women being reported. Signi...
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A framework known as optical character recognition is capable of converting handwritten or printed pictures into machine-editable structures. Several Indian dialects, including Hindi, Nepali, Marathi, Sindhi, and othe...
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Finding malicious URLs in Tor is vital for preserving network security and privacy. Subsequently, Tor affords anonymity by routing traffic over a sequence of relays, it's frequently used for both legitimate and il...
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Kerala, a southwestern state in India, is renowned for its rich tradition of Ayurveda, an ancient system of holistic healing. However, it was a major concern regarding difficultly in identification of medical herbs. I...
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The electrocardiogram is a vital piece of information about a person's health that provides measurements of changes in the cardiovascular system. When using complex software modules to diagnose diseases, the clini...
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Crop yield prediction is a crucial task in agricultural science, involving the classification of potential yield into various levels. This is vital for both farmers and policymakers. The features considered for this t...
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The integrity of product warranties stands as a critical concern, marked by challenges like data tampering and fabrication within traditional verification systems. This paper explores the transformative potential of b...
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