Artificial Intelligence

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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382 Views

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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2297 Views

<p>This article created to address the&nbsp;</p><p>current state of affairs, which has&nbsp;</p><p>resulted in an insufficient progress and&nbsp;</p><p>innovation system. The purpose of this&nbsp;</p><p>overview article is to increase educate&nbsp;</p><p>society's knowledge of how to use&nbsp;</p><p>modern and innovative technologies&nbsp;</p><p>based on need, cultural aspects, social&nbsp;</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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110 Views

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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Blast furnace iron-making process (BFIP) is one of the most critical procedures in the iron and steel industry, in which timely detection and accurate classification of faults have always been of core focus. Nevertheless, due to the coupling effects of complex nonlinear and nonstationary characteristics hidden among the data, the consistent underlying information in the process cannot be accurately mined, hindering the establishment of the BFIP fault diagnosis model.

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The C3I Synthetic Human Dataset provides 48 female and 84 male synthetic 3D humans in fbx format generated from iClone 7 Character creator “Realistic Human 100” toolkit with variations in ethnicity, gender, race, age, and clothing. For each of these, it further provides the full-body model with five different facial expressions – Neutral, Angry, Sad, Happy, and Scared. Along with the body models, it also open-sources a data generation pipeline written in python to bring those models into a 3D Computer Graphics tool called Blender.

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533 Views

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