Artificial Intelligence
Non uniformly illuminated Blender simulated and camera captured haze masks.
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The data involves 15 years of daily data of DJI, S&P, and IXIC, ranging from 01/01/2005 to 12/31/2020.
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The following folder contains the data simulated using the metholodgy described in the paper titled "Federated Learning based Base Station Selection using LiDAR Data"
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During Printed Circuit Board (PCB) manufacturing, it is critical to dispense the correct amount of conductive glue on the substrate LCP surface before die attachment, as the dispensing of excessive or insufficient glue may cause defects through short circuits or weak die bonding. Therefore it is critical to monitor the amount of the dispensed glue during production.
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Accurate flood delineation is crucial in many disaster management tasks, including, but not limited to: risk map production and update, impact estimation, claim verification, or planning of countermeasures for disaster risk reduction. Open remote sensing resources such as the data provided by the Copernicus ecosystem enable to carry out this activity, which benefits from frequent revisit times on a global scale. In the last decades, satellite imagery has been successfully applied to flood delineation problems, especially considering Synthetic Aperture Radar (SAR) signals.
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<p>This article created to address the </p><p>current state of affairs, which has </p><p>resulted in an insufficient progress and </p><p>innovation system. The purpose of this </p><p>overview article is to increase educate </p><p>society's knowledge of how to use </p><p>modern and innovative technologies </p><p>based on need, cultural aspects, social </p><p>context, and state context.
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Obstacle avoidance methodologies seldom work under assumption or limitation of other obstacel implying similar collision averting protocol. Furthermore, prerequisite of having perfect sensing and having central communciation are also needed in order to safely navigate witout collision. A novel obstacle avoidance method of FLC-ORCA is initiated in an attemp to fill in the void within obstacle avoidance. The proposed method is compared with other state-of-the-art tecniques such as Improved A-Star and Directional ORCA.
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A novel FLC-ORCA obstaclea avoidance method is compared with other state-of-the-art techniques of Improved A-Star and Directional ORCA. The SLAM navigation recording are shown with comparable analysis of time taken, navigation path, rerouting occurance, and stoppage occurance. The obstacles are consist of static, dynamic and intelligent entity state of nature.
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中国 Municipal Panel Data
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We constructed datasets by extracting different features from Android Apk files, including permissions (official definition and customization), APIs and vulnerabilities. The datasets can be used for malware detection.
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