Artificial Intelligence
This is an image illustrating the work of the proposed visual SLAM algorithm.
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The Extended Moulouya Bird Detection Dataset (E-Moulouya BDD) is a comprehensive collection of annotated images proposed for bird detection. The dataset is a combination of three datasets, namely the XMBA dataset, the Rest Birds Dataset, and the D-Birds Dataset, which were merged and cleaned up to provide a consistent and unified labeling format. The E-Moulouya BDD comprises 13,000 annotated images, labeled with a standardized format to ensure consistency across the dataset. The dataset is publicly available on IEEE DATAPORT, making it an ideal resource for use by the scientific community.
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A new approach addressing the spectrum scarcity challenge in 6G networks by implementing an enhanced licensed shared access (LSA) framework is considered. The proposed mechanism aims to ensure fairness in spectrum allocation to mobile network operators (MNOs) through a novel weighted auction called the fair Vickery-Clarke-Groves (FVCG) mechanism in which the determination of weights is based on the results of the previous auctions.
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datasets for classification tasks
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This is version 2 of the LogiQA dataset, first released as a multi-choice reading comprehension dataset. The dataset is collected from the Chinese Civil Service Entrance Examination. The dataset is both in Chinese and English (by translation)
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The signals of a recording belonging to the Frontside task are shown, the first two corresponding to the electromyography sensors while the others correspond to the infrared and red LED readings of the pulse oximetry sensor.
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The increasing complexity of intelligent systems in the Internet of Things (IoT) domain makes it essential to explain their behavior and decision-making processes to users. However, selecting an appropriate explanation method for a particular intelligent system in this domain can be challenging, given the diverse range of available XAI (eXplainable Artificial Intelligence) methods and the heterogeneity of IoT applications. This dataset is a case base elicited from an exhaustive literature review on existing explanation solutions of AIoT (Artificial Intelligence of the Things) systems.
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The "Noisy Imperfect Partial Symbolic Sketches" (NIPSS) dataset provides symbolic sketches generated from the texture extraction method described in [1] when the inputs are associated with, either Imagenet animals [2] that have been preprocessed by [3], or the CelebAMask-HQ person faces described in [4].
Any sketch is an image containing a multichannel (artificial color) binary sequence of information, where artificial colors have consisted in concatenating the results of different regularizers from [1].
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We have utilized Ultrasound (US) B-mode imaging to record single agents and collective swarms of microrobots in controlled experimental conditions.
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Sales data collection is a crucial aspect of any manufacturing industry as it provides valuable insights about the performance of products, customer behaviour, and market trends. By gathering and analysing this data, manufacturers can make informed decisions about product development, pricing, and marketing strategies in Internet of Things (IoT) business environments like the dairy supply chain.
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