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Showing 1 to 5 of 5 for “"Intelligent applications"”.

  1. Knowledge Graphs and Large Language Models for Intelligent Applications in the Tourism Domain

    In the current era of big data, the World Wide Web is transitioning from being merely a repository of content to a complex web of data. Two pivotal technologies underpinning this shift are Knowledge Graphs (KGs) and Data Lakes. Concurrently, Artificial Intelligence has emerged as a potent means to …

    cagliari Repository record for Knowledge Graphs and Large Language Models for Intelligent Applications in the Tourism Domain (opens in a new tab)

  2. Predictive Modeling of Volatile Organic Compound Measurements

    … Today, these devices are becoming more intelligent and capable of interacting with and responding to the world in which they operate. In order to make accurate inferences and predictions about the future, the devices require context on historical data. Intelligent applications using …

    mit Repository record for Predictive Modeling of Volatile Organic Compound Measurements (opens in a new tab)

  3. Deep learning based approaches for imitation learning.

    … capabilities as well as rising demand for intelligent applications. The goal of imitation learning is to describe the desired behaviour by providing demonstrations rather than instructions. This enables agents to learn complex behaviours with general learning methods that require minimal …

    rgu Repository record for Deep learning based approaches for imitation learning. (opens in a new tab)

  4. Energy-efficient Neuromorphic Computing for Resource-constrained Internet of Things Devices

    … Internet of Things (IoT) devices, many emerging intelligent applications based on deep learning techniques heavily depend on cloud computing for computation and storage. However, cloud computing faces technical issues with long latency, poor reliability, and weak privacy, resulting in the need …

    vt Repository record for Energy-efficient Neuromorphic Computing for Resource-constrained Internet of Things Devices (opens in a new tab)

  5. Resource-Efficient Collaborative Training and Inference of Foundation Models in Edge-AI

    … a transformative paradigm shift in the design of intelligent systems. Edge-AI enables computation to be performed closer to data sources and across distributed network edges, offering significant benefits in latency reduction, privacy preservation, and real-time decision-making. Meanwhile, …

    exeter