The problem of finding a next best viewpoint for 3D modeling or scene mapping has been explored in computer vision over the last decade. This paper tackles a similar problem, but with different characteristics. It pro...
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Education in recent years has slowly transitioned to an online model, allowing massive access to online courses virtually from anywhere. The adoption of such educational models was boosted by the global pandemic in 20...
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Testing new applications and network protocols in IoT systems is a challenging and time-consuming task. As a result of this, a significant number of testbed platforms have been built in recent few decades. In this pap...
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This paper proposes a new method of pole controlled infinite impulse response (IIR) adaptive digital filters (ADF) and shows its pole controllability with trajectories of poles on MSE surface. Proposed IIR ADF consist...
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IPTV has been hailed as a "killer app" of the Internet for a long time, but it has yet to really make a major breakthrough, due to various technical and political reasons. The recent influx of community-driv...
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ECG (electrocardiogram) is currently the most effective way to detect the heart condition. Previously people have to go to special organization, e.g. hospital, to do the ECG recording. But sometimes when the patient a...
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In today's world, more importance is given on the availability of the applications and various websites available in the digital market. People will manage their daily work on time, precisely, very fast, and with ...
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We introduce an exploratory event mining system in social media. A system deals with user's interests by making use of interaction between user input and system output. The system presents related events in the fo...
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Large Language Models (LLMs) are at the forefront of technological evolution, significantly enhancing digital interactions and automating complex processes across various sectors. While these models facilitate advance...
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One in each of the applications of NLP is text classification. In this paper, a multi-label classification model of tagging the plain text is developed where the data is obtained from the Automatic Speech Recognition ...
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