This study presents a smart doorbell system designed to improve home security through advanced deep learning techniques. At its core, the system utilizes the YOLOv5 (You Only Look Once) algorithm for real-time face de...
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Early detection of colorectal cancer is important as it is one of the most common and deadliest types of cancer worldwide. This project proposes an image classification model based on deep learning architecture that c...
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Today, gas leakage has become a common problem in both industrial and household sectors as it can cause explosions, fires, and toxic exposures. The real time gas alert system ensures that gas leaks are not only detect...
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This study aimed to analyze prompts of programming students with a chatbot powered by OpenAI's GPT-3.5, enhanced with the Retrieval Augmented Generation (RAG) technique, within the context of a Java programming co...
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This work proposes a real-time sentiment analysis pipeline on customer feedback using Yelp and addresses the high-volume dynamic user-generated contents processing problem. The proposal integrates state-of-the-art mac...
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Cloud computing requires efficient usage of resource allocation and optimal response times in load balancing. This paper introduces an extended version of our previous work, presenting the Dynamic Adaptive Fuzzy based...
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Post-pandemic, with the advent of many OTT platforms, there are a number of different movies and web series available which makes it difficult for the users to find a suitable movie to watch. So the movie recommendati...
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The major risk of gas leakages to naval ships and vessels is to both personnel and machinery. Traditional types of gas detectors use fixed wired sensors, which tend to be extremely challenging for maintenance in compl...
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The research aims to find how effective various models are based on deep learning, particulary - Convolutional Neural Networks (CNN), VGG-16, MobileNet V2, Inception V3, and ResNet-50 - on the ISL dataset, using trans...
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Traditional text-based image retrieval often struggles to provide effective results when there is insufficient information in the search query or when searching with new sentences. This limitation arises because users...
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