Wearable technology is expanding rapidly in recent year. It is used in many applications in various domains, including affective computing. Affective computing is all about understanding and responding to human emotio...
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This research proposes using Model-Based Testing with the Markov Chain approach to address complexities in testing e-commerce applications. Due to the intricate architecture and interconnected functionalities of such ...
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This paper proposes a learning path recommendation algorithm based on prefix growth. The algorithm dynamically constructs learning paths suitable for different learners by mining learners' behavioral data, and opt...
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technology is very volatile in nature, in a way that it keeps on changing daily. Restaurants are no different in the effects of this changing scenario. The primary objective of this research paper is to explore the hi...
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In this project, an innovative anxiety assessment system created especially for children with multiple disorders is presented. With the use of intuitive software and sensors that monitor vital signs like temperature, ...
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This Landslide susceptibility prediction is a critical task for Alleviating the risks associated with landslide hazards, which have significant socio-economic and environmental impacts. Existing techniques face challe...
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The realm of intelligent systems empowers the development of applications that play a vital role in our real-world scenarios. Fuzzy logic, a valuable asset in contemporary times, finds application across diverse indus...
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Innovative technologies are crucial for improving fire detection and response systems. An embedded system has been developed to improve fire detection and response by integrating a user mobile application, an admin we...
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Recent advancements in AI and ML have brought on substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, amongst a few. AI and ML models are in...
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Generative adversarial network (GAN) has low discrimination ability for abnormal samples or noise data in anomaly detection tasks, which affects the detection effect. This paper proposes an improved model based on Ski...
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