Multimedia data production, such as audio, video, and acoustic measurements in large volumes and speed, has approached the scale of big data in many sensor networks. Multimedia Sensor Networks (MSN) are popular becaus...
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The significance of assessing building damage for post-disaster rescue and reconstruction is acknowledged, and a novel approach is introduced to address the challenges associated with detecting and classifying damage ...
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This paper discusses creating a system that ranks search result using user-provided ratings and comments to improve the quality of search experiences. In this application, users can rate websites on a scale of 1 to 5 ...
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Global systems for mobile communications (GSM) Powered Gas Leakage Detection system aims to prevent gas leakages, especially from inflammable sources like LPG, which poses great risk. This presents a gas leakage detec...
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The use of computers has become an integral part of our daily lives, and they are utilized in various fields. However, traditional input devices such as a mouse and keyboard can sometimes be limiting. Hand gestures ca...
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In today's world, the use of data analytics with precision has been extremely important and crucial with the changing times. The creation of virtual environments to facilitate communication and education among the...
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In this age of digitalization, securing computer networks is of utmost importance to protect sensitive data and critical infrastructure. Threat scrutinization plays an integral role in identifying and thwarting cyber ...
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This paper proposes a new method of classifying celestial objects using Grad-Class Activation Mapping (Grad-CAM) in conjunction with deep learning models such as VGG16, Google Net, Dense Net, and Efficient Net. The pa...
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The use of two-way SSL or Secure Socket Layer communication becomes the key for effectively creating a secure two-way communication between the servers and the clients in web applications. This research delves into an...
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Detecting pedestrian intentions is crucial for safer interactions between autonomous driving and pedestrians. This study addresses this challenge by proposing an object detection model for autonomous driving using YOL...
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