The electrochemical performance and corrosion properties of Fe_(40)Mn_(20)Cr_(20)Ni_(20) high-entropy alloys(HEAs)in a 3.5%NaCl solution with various pH values were thoroughly *** results revealed a close correlation ...
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The electrochemical performance and corrosion properties of Fe_(40)Mn_(20)Cr_(20)Ni_(20) high-entropy alloys(HEAs)in a 3.5%NaCl solution with various pH values were thoroughly *** results revealed a close correlation between the corrosion properties of HEAs and the pH *** the one hand,the pH value can affect the semiconducting properties of the passive film on the alloy surfaces,thereby further influencing the protective capacity of the passive *** the other hand,an excess of H+or OH−promotes the growth of localized corrosion,facilitating the formation of a larger number of larger-sized localized corrosion ***,the corrosion of HEAs is most severe in acidic solutions.
The advancements in technology help in analyzing and predicting the disease of human life using automation. Out of various technologies, Machine Learning (ML) and Deep learning (DL) provide some promising results to h...
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Authentication in modern era, has evolved significantly to address the increasing complexity and security challenges of our digital world. Traditional methods of authentication, such as passwords and PINS have proven ...
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Currently, most multi-modal fake news detection methods rely on fusing multi-modal features using a single criterion, overlooking the potential contribution of original multi-modal information in fake news detection a...
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Efficiently finding similar items in large datasets is a crucial task with applications in various domains. This abstract presents a survey of algorithms and techniques designed for this purpose. Notable approaches in...
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Lung diseases, encompassing a wide spectrum from chronic conditions to acute infections, present a significant burden on global healthcare systems, necessitating precise and timely diagnostic methodologies. In this st...
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Medical Internet of Things (MIoT) and healthcare have lately converged, which has led to novel techniques to identifying and treating medical troubles. This research gives a completely unique method that utilizes the ...
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ISBN:
(纸本)9798350359756
Medical Internet of Things (MIoT) and healthcare have lately converged, which has led to novel techniques to identifying and treating medical troubles. This research gives a completely unique method that utilizes the Internet of Things (IoT) to combine Automatic Modulation Recognition (AMR) with Breast Cancer (BC) categorization. The loss of included answers arises from the reality that most current research ignores BC type in desire for both AMR or BC type. A unique Medical Internet of Things-based totally Breast Cancer (MIoT-BC) category method addresses the project. In order to facilitate automatic modulation identity, the proposed gadget first statistics indicators from clinical gadget and wireless verbal exchange channels. After that, it uses DBNs (deep belief networks) to categorize BCs. The MIoT-primarily based strategy ensures the secure transmission and instantaneous analysis of scientific facts, which improves the precision and timeliness of diagnosis. There are some of blessings to the use of MIoT for BC categorization, such as less difficult get entry to to health information, faster diagnostic instances, and the option for faraway monitoring. In addition, the potential for misclassification and human errors is reduced, making this a useful tool inside the realm of medical diagnostics. DBNs are used to give a dependable and correct type version for BC categorization. Several healthcare packages have found achievement with DBNs due to their suitability for processing excessive-dimensional, complicated scientific facts. Differentiating benign from malignant breast lesions is an area where their capability to extract sizeable facts from enter facts robotically shines. MIoT-primarily based processes the usage of DBNs enhance BC classification accuracy in comparison to traditional techniques, consistent with this paper. Evaluation criteria, such as sensitivity, specificity, accuracy, overall performance and F1 rating, measure the effectiveness of the suggeste
This research study proposes an innovative machine learning algorithm, Spammer Identification Novel K-Means Extension (SINKEX), to fortify IoT mobile networks against commands and potential disruptions in industrial p...
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Agriculture is a crucial turning point in the evolution of human civilization. Plant disease outbreaks have caused the biggest decline in agriculture, which has a substantial impact on the economy of the country and l...
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This research discusses an emotion recognition system, which is an important component of many effective computing technologies for natural language processing, based on open-source platforms with automatic speech rec...
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