Spoken keyword detection is a technique used to identify specific keywords or phrases in spoken language. It is often used in the field of speech recognition to trigger specific actions or responses. For example, a sp...
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Deep learning segmentation techniques have been created recently to enhance the identification of liver illnesses, which have demonstrated tremendous promise for increasing precision and effectiveness in diagnosis. He...
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In a digitalized market, social connections are on the top as an essential part of daily life, enabling users to connect, share, and engage with content on a global scale. Among these platforms, Instagram stands out a...
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Diagnosing plant diseases research tackles the vital challenge of identifying plant diseases in agriculture by focusing on the intricate complexities found in images displaying diverse symptoms, scattered lesions, and...
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Social media is pervasive and a regular part of our lives. People need to comprehend this in order to be able to influence the crypto currency market and an investor's purchasing and selling activity. Even one con...
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In the realm of Indian agriculture, cotton stands out as a crucial commercial product. However, challenges persist in the form of various issues affecting the leaves, primarily stemming from elusive illnesses and pest...
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The data from the Internet of Things (IoT) is essential in the modern data-driven digital economy since it inspires many new business models supplying a wide spectrum of services both ubiquitous and intelligent. The d...
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In this hate speech detection system, the team embarked on a mission to combat the rising tide of online hate speech, a prevalent issue in the digital landscape. Leveraging a diverse array of machine learning models, ...
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Extensive research has been conducted on soft robots due to their inherent qualities of malleability and adaptability. Soft robots encounter difficulties in the areas of modelling, calibration, and control in comparis...
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Sentiment analysis on social media data, particularly Twitter, plays a crucial role in understanding public opinion and user sentiments towards various topics. This paper presents a rule-based approach to sentiment an...
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