Object detection is the method of recognizing and finding objects in digital images and video frames. Over the years, object detection techniques have made significant advances driven by breakthroughs in large-scale d...
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Smart farming involves leveraging modern technology to optimize agricultural practices, aiming to enhance both the quantity and quality of agricultural yields. One such approach is edge-based smart farming, which focu...
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Smart farming involves leveraging modern technology to optimize agricultural practices, aiming to enhance both the quantity and quality of agricultural yields. One such approach is edge-based smart farming, which focuses on field crop monitoring using sensors and automating irrigation systems to meet agricultural demands efficiently. Unlike traditional cloud-based systems reliant on IoT models, edge-based systems offer reduced latency, extended battery life for IoT devices, cost-effective information management, and improved access to knowledge management and AI. In this paper, we propose the Ensembled Enabled Edge computing algorithm for developing a smarter farming system, particularly for crop recommendation, aiming to achieve superior results. Comparative analysis with established classifiers like SVM and Naive-Bayes reveals that our algorithm attains the highest accuracy, reaching 95%.
The increase in interest towards integration of wind energy with the existing power grids is evident because of its eco-friendly, zero-carbon emission and renewable nature and this develops the scope of Wind Power For...
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The purpose of wound segmentation is to accurately identify and delineate wound areas in images, enabling precise analysis of metrics like size, shape, and spread. This aids healthcare professionals in assessing wound...
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Authentic detection of deepfakes can be vital to fighting misinformation, safeguarding security, and preventing financial and reputational damage. The more it acquires human nature, the more dangerous deepfake technol...
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Social media platforms offer educators a unique canvas for innovative pedagogy. Collaborative learning, facilitated by platforms like Facebook and Twitter, fosters dynamic interactions among students and cultivates a ...
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Social media platforms offer educators a unique canvas for innovative pedagogy. Collaborative learning, facilitated by platforms like Facebook and Twitter, fosters dynamic interactions among students and cultivates a sense of community. Furthermore, the visual nature of platforms like Instagram and YouTube enables educators to incorporate multimedia elements, enhancing engagement and information retention. Blogs and podcasts provide avenues for students to create and share content, honing their storytelling and communication skills. This study explores the multifaceted influence of social media on media education, aiming to illuminate its transformative impact on pedagogical approaches and the preparedness of individuals for the dynamic media industry. This intersection brings forth a host of opportunities and challenges, fundamentally altering the pedagogical approaches employed in media education.
With the rapid growth of real-time next-generation mobile services, it has become necessary to work towards holistic orchestration of the benefits promised with edge computing based on bringing the computing infrastru...
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With the rapid growth of real-time next-generation mobile services, it has become necessary to work towards holistic orchestration of the benefits promised with edge computing based on bringing the computing infrastructure closer to the end user. While the concept of Multi-access Edge computing (MEC) integrated with Network Function Virtualisation (NFV) is being standardised, there is still a lot of work to be done to orchestrate the relocation of edge applications integrated in 5G and beyond systems in a smooth and efficient manner. In this paper, we document the current status of the transparent relocation of edge services in an experimentally deployed MEC-NFV environment based on OSM. Working towards gathering monitoring training datasets necessary for the development of proactive MEC application orchestrators that will implement seamless follow-me behaviour for MEC services, we provide benchmark results for the service downtime of three potential MEC services hosted in lightweight containers. Our analysis of results shows that containers exhibit improved performance over that of virtual machines, but there are still some issues that require improvement in both the orchestration implementation as well at the relocation process for containers.
This work allows users to retrieve information about student and faculty *** Student and Faculty information System (SFIS) is an Android application designed to streamline administrative, faculty, and student interact...
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Research on semantic communication has advanced because of deep learning in the construction for collaborative (joint) resource-channel coding (JSCC) project. Deep learning technology (DL)-based JSCC systems currently...
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Universities that work with information and communications technology (ICT) encounter a number of difficulties, including budgetary constraints, licensing fees, and managing software and hardware. Universities can pro...
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