Journal of Instrumentation Technology & Innovations
Volume 13, Issue 2 (2023)
Published
Table of contents
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Efficient Masked Face Recognition Methods using Deep Learning
Abstract: Covid-19 questioned not only people's health but alsoconventional scientific systems. Due to face masks that were made mandatory to wear, the existing cognitive systems failed to perform in real-time scenarios. The demand to develop face recognition systems that detect people even when they wore masks was naturallyhigh. Deep learning techniques help to solve this problem, working efficiently in detecting user face features and comparing them with a known image database. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article
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Real-time Conversational AI Application for Healthcare Domain
Abstract: Real-time Conversational AI Application for Healthcare Domain’s primary goal is to create a real- time communication plan to reduce low-pitch sounds and noise levels. We’re using Nvidia Nemo SDK, Nvidia Riva, Amazon Services, and open-source platforms like RASA and Facebook Blender 2.0 chatbot. Our chatbot differs from conversational AI-based chatbots because neural networks are used in text mining consumer feedback. We can say that Conversational AI applications are Intelligent Virtual …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 11–31 Read article
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Handwritten Telugu Character Recognition Using Machine Learning – A Detailed Survey
Abstract: Telugu language is largest member of the Dravidian language family. Primarily spoken in south-eastern India. The handwritten character recognition of Telugu has wide range of applications in healthcare, administrations, education, Palaeography. However, the Telugu script is very different from English. This makes the use of CNN to recognize the Telugu characters.Converted into several data formats for use in a variety of documents, agreements, and private files. Electronic data uses less …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 32–39 Read article
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Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article
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Hexapod Robot Platforms: Applications in Real-world Environments
Abstract: The main goal of this project is to present a fully constructed Hexapod robot with six legs for versatile movement and a wide range of degrees of freedom. While previous studies have focused on mobile robots, recent advancements have led to the development of impressive navigator robots that have practical applications. The Hexapod's multiple legs offer the advantage of easy customization and the ability to perform various gaits, including tripod, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 54–64 Read article