Research on functional changes in the brain of inflammatory bowel disease (IBD) patients is emerging around the world, which brings new perspectives to medical research. In this paper, the methods of canonical correla...
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Human activities represent a major source of information for smart home automation. While performing their daily activities, humans trigger sensors producing measurements that flow into a sensor log. Vast majority of ...
Human activities represent a major source of information for smart home automation. While performing their daily activities, humans trigger sensors producing measurements that flow into a sensor log. Vast majority of techniques to recognize and exploit the occurrences of human activities are supervised, requiring the log to be manually labeled in correspondence of the onset and the end of each activity repetition. This task requires a considerable effort by the final user, resulting in imprecise labeling tampering the performance of algorithms. In this paper, we propose an unsupervised technique allowing to automatically segment smart home logs containing position sensor measurements. The proposed technique exploits information about the position of the human to automatically extract basic actions, which are then segmented on a temporal basis and clustered. The approach is evaluated against a state-of-the-art dataset.
The joint optimization of the sensor trajectory and 3D map is a crucial characteristic of Simultaneous Localization and Mapping (SLAM) systems. To achieve this, the gold standard is Bundle Adjustment (BA). Modern 3D L...
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Aiming at the navigation problem of unmanned vehicles in extreme environments such as communication interference and limited GPS signals, this study proposes an autonomous navigation method based on binocular cameras....
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In response to the challenges associated with cell micronucleus image recognition, namely small target sizes, high class similarity, and limited sample data, A novel cell micronucleus detection algorithm named YOLOv5-...
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Maximizing monotone submodular functions under a matroid constraint is a classic algorithmic problem with multiple applications in data mining and machine learning. We study this classic problem in the fully dynamic s...
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While optimal input design for linear systems has been well-established, no systematic approach exists for nonlinear systems, where robustness to extrapolation/interpolation errors is prioritized over minimizing estim...
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In many fields of robotics, knowing the relative position and orientation between two sensors is a mandatory precondition to operate with multiple sensing modalities. In this context, the pair LiDAR-RGB cameras offer ...
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In recent years, blockchain technology has spread widely in the agri-food sector. In particular, several blockchain-based tracking systems have been proposed. Most of these projects use mature technologies, such as Et...
In recent years, blockchain technology has spread widely in the agri-food sector. In particular, several blockchain-based tracking systems have been proposed. Most of these projects use mature technologies, such as Ethereum and Hyper-ledger. However, other blockchains were proposed recently (some particularly suited to IoT, commonly used in agri-food tracking systems). In the literature, several methodologies are proposed to guide the choice of the type of blockchain. These methodologies are generic, and a gap remains between the criteria used to guide the selection of the type of blockchain and how concrete use cases influence them. Building upon existing methodologies, this paper presents a specific approach for agri-food tracking. Once the parameters of the use case that impact the blockchain's performance have been identified, the methodology allows the association of these parameters with the criteria for identifying the types of blockchain to use (e.g., public permissionless) and the most suitable consensus algorithm. The output tuple \ [types], [algorithms], [functions]), therefore, allows the choice of the blockchain that best suits the usage scenario.
In the remanufacturing process, the efficient disassembly of end-of-life (EOL) products assumes paramount significance for recycling endeavors. This work introduces a novel disassembly model aiming at enhancing disass...
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