Achieving semantic interoperability in healthcare is one of the significant challenges in the rapidly expanding healthcare sector. On the other hand, IoT in healthcare can provide patient-centric treatment mechanisms ...
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The aim of the paper is to improve pairwise DNA sequence alignment accuracy using ensemble learning techniques. The application of these methods has resulted in a remarkable accuracy of 94.5%. Utilizing the DNA sequen...
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In today's world, the use of hyperspectral image (HSI) has significantly increased in a variety of industries, from agricultural to environmental monitoring due to its capacity to capture rich spectral information...
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Most real-time computer vision applications heavily rely on Convolutional Neural Network (CNN) based models, for image classification and recognition. Due to the computationally and memory-intensive nature of the CNN ...
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Invoice processing is a time-consuming and tedious task that can be automated using optical character recognition (OCR) technology. Tesseract is a popular open-source OCR engine that can be used to extract text from s...
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The need for the Chatbot-Based Ticket Booking System arises from the inherent complexities and inconveniences associated with traditional ticket booking processes. Booking tickets for events, travel, or any other purp...
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In an era where global healthcare coverage stands at 50%, the need for accessible, secure, and efficient healthcare services is paramount. Electronic Health Records (HER) play a pivotal role in this, digitizing patien...
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Many fields, specifically those involving personal identification, rely on voice processing. Fields like emergency centre routing, electronic finance, criminal detection, and anti-kidnapping operations frequently util...
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This study explores the adaptability of a segmentation model, originally trained on pre-operative MRI data, in post-operative recurrent brain tumor segmentation. We utilized the Attention U-Net model for this study. I...
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In recent decades, rapid advancements in AI, machine learning, and deep learning have yielded new methods and tools for manipulating multimedia. While this technology has primarily found applications in legitimate fie...
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