An acute bacterial infection called avian spirochetosis is spread by ticks to a variety of birds. Clinical symptoms can vary greatly and are frequently non-specific. To diagnose a condition, the infectious spirochete ...
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The presence of airborne viruses in bioaerosols is a significant and ongoing public health concern. In this context, this study aimed to develop a new filter that integrates nanosilver into a TiO2-chitosan matrix (nan...
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This research aims to create a smart residential system that will improve parking management in residential areas using mini-server technology. Another aim is to provide a safe and effective smart parking solution for...
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ISBN:
(数字)9798350375886
ISBN:
(纸本)9798350375893
This research aims to create a smart residential system that will improve parking management in residential areas using mini-server technology. Another aim is to provide a safe and effective smart parking solution for residential areas with limited capacity. This research method uses mini-server technology and control to create smart system ideas. Apart from that, this research also uses servo motor technology, proximity sensors, cameras, and IoT applications for smart parking management. The result is the creation of intelligent residential parking management, which uses a Raspberry Pi 5 Model B as a server and control to improve the parking management system in residential areas, and the use of number plate recognition technology to be applied to Smart City. This further research offers a new perspective on creating intelligent parking solutions using two input validation parameters simultaneously, namely facial and license plate recognition
Here, we propose phase and interfacial engineering by inserting a functional WO3 layer and selenized it to achieve a 2d-layered WSe2/WO3 heterolayer structure by a plasma-assisted selenization process. The 2d-layered ...
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Social media is a source of big data. Media like Twitter and Facebook has been used for collecting and analyzing user data for different purposes. The data can be used to analyze people opinions towards certain topics...
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In this study, a micro-leddisplay, an eye chart player software, and image capture and processing module were used to construct a color refractive error exam for subject with speech disorder. This method can be used ...
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Stress, as a reaction to threatening situations, can raise heart rate and result in serious conditions that might cause significant damage or even be life-threatening. Traditional methods for evaluating stress, which ...
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ISBN:
(数字)9798350364637
ISBN:
(纸本)9798350364644
Stress, as a reaction to threatening situations, can raise heart rate and result in serious conditions that might cause significant damage or even be life-threatening. Traditional methods for evaluating stress, which rely on subjective self-reporting and clinical assessments, often suffer from biases and inconsistencies. Artificial intelligence models have been explored to predict stress levels more accurately. This paper investigates the application of Extreme Gradient Boosting in classifying psychological stress using the WESAddataset, which includes parameters such as acceleration, electrocardiogram, electromyography, electrodermal activity, temperature, and respiration. The dataset was balanced and sampled to create a manageable subset for experimental. Extreme Gradient Boosting was chosen for its efficiency and scalability in handling complex datasets. The model was trained and validated, achieving a 95% accuracy in predicting stress levels. This study highlights the potential of integrating Extreme Gradient Boosting models into wearable devices for real-time stress monitoring. Future work involves optimizing the model to utilize fewer sensors without decreasing accuracy, ensuring it can be integrated into portable/wearable systems using tiny microcontrollers.
Polymorphonuclear neutrophils (PMNs), the predominant immune cell type in humans, have long been known as first-line effector cells against bacterial infections mainly through phagocytosis and production of reactive o...
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Background and aim: In Taiwan, Vitis thunbergii var. taiwaniana (VTT) is used in traditional medicine and as a local tea. VTT rich in resveratrol and resveratrol oligomers have been reported to exhibit anti-obesity an...
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In today’s globalized society, individuals must overcome linguistic hurdles to collaborate. Language translation helps individuals, companies, and governments communicate, exchange information, and understand one oth...
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ISBN:
(数字)9798350373783
ISBN:
(纸本)9798350373790
In today’s globalized society, individuals must overcome linguistic hurdles to collaborate. Language translation helps individuals, companies, and governments communicate, exchange information, and understand one other across language boundaries. deep learning algorithms have transformed language translation. It now considers context in real time, is quicker, and more accurate. This research investigates how deep learning can solve linguistic difficulties in real-time translation. Context-Aware Real-Time Language Translation (CARLTT) is a novel method that combines deep learning to improve translation accuracy while preserving context. Translation using the Contextual Transformer Network (CTN) considers the present circumstances. The BMA reduces bias in versions. Background is maintained via the Contextual Language Model (CLM). We prove CARLTT is the best translation technique by exhibiting its superiority. CARLTT is more accurate, keeps context, and finds less bias than other translation models after several testing. CTN ensures linguistic and context accuracy in translations. By reducing biases significantly, BMA offers culturally sensitive and fair versions. With CLM, context is better preserved, therefore the translated content will retain all details and slang. Finally, CARLTT illustrates a new era in real time. deep learning has ushered in language translation. It fosters diversity, educates individuals about various cultures, and helps companies collaborate when they don’t speak the same language. Advanceddeep learning approaches in language translation may become increasingly relevant as the globe gets more interconnected. This might help multilingual individuals converse and have more fruitful discussions.
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