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    Now showing items 41-49 of 49

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        Semantic similarity between words and sentences using lexical database and word embeddings 

        Pawar, Atish Shivaji (2018)
        Calculating the semantic similarity between sentences is a long-standing problem in the area of natural language processing. The semantic analysis field has a crucial role to play in the research related to the text ...
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        Semi-supervised framework for clustering and semantic segmentation 

        Chow, Yik Lun (2021)
        During the past couple of decades, machine learning and deep learning methods have achieved remarkable results in many real-world applications. However, it is difficult to develop and train these artificial intelligence ...
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        Surface estimation from multi-modal tactile data 

        Thrikawala, Isura (2021)
        The increasing popularity of Robotic applications has seen use in healthcare, surgery, and as an industrial tool. These robots are expected to be able to make physical contact with the objects in the environment which ...
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        Toward lightweight fusion of AI logic and EEG sensors to enable ultra edge-based EEG analytics on IoT devices 

        Tazrin, Tahrat (2021)
        Electroencephalogram (EEG) analysis has garnered attention in the research domain due to its ability to detect various neural activities starting from brain seizures to a person’s concentration level. To make it more ...
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        Towards designing AI-aided lightweight solutions for key challenges in sensing, communication and computing layers of IoT: smart health use-cases 

        Sakib, Sadman (2021)
        The advent of the 5G and Beyond 5G (B5G) communication system, along with the proliferation of the Internet of Things (IoT) and Artificial Intelligence (AI), have started to evolve the vision of the smart world into a ...
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        Towards machine learning enabled future-generation wireless network optimization 

        Yan, Peizhi (2020)
        We anticipate that there will be an enormous amount of wireless devices connected to the Internet through the future-generation wireless networks. Those wireless devices vary from self-driving vehicles to smart wearable ...
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        Use of semantic, syntactic and sentiment features to automate essay evaluation 

        Janda, Harneet Kaur
        Manual grading of essays by humans is time-consuming and likely to be susceptible to inconsistencies and inaccuracies. Mostly performed within an academic institution, the task at hand is to grade hundreds of submitted ...
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        Using homophily to analyze and develop link prediction models with deep learning framework 

        Khanam, Kazi Zainab (2021)
        Twitter is a prominent social networking platform where users’ short messages or “tweets” are often used for analysis. However, there has not been much attention paid to mining the medical professions, such as detecting ...
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        Wireless sensor network scheduling schemes 

        Wang, Bo (2012-11-10)
        Wireless Sensor Network (WSN) consists of small sensing devices with constrained power and resources. It is widely used for environment monitoring. WSN usually works in hostile environments and performs critical tasks, for ...
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