This research study leverages machine learning algorithms to forecast investors' attitudes and preferences concerning green bonds. Using a sample of 187 investors from Bengaluru, the study explores relevant demogr...
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Insect species recognition systems have significantly advanced with recent machine learning techniques, but many existing models still face challenges such as limited scalability, lower accuracy in diverse environment...
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Currently, deep learning-based object detection algorithms can rapidly and accurately locate vehicles and pedestrians under normal conditions. However, in low-light environments, the detection accuracy of these algori...
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The next revolutionary innovation in the textile industry is artificially driven by intelligent quality control and next-generation textile materials. This review, based on AI-driven automation and sustainable practic...
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Geographic information systems(GIS) are now changing from two-dimensional expression to three-dimensional expression, and the geographic data gradually transforms into a more intuitive and more applied method of expre...
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Sentiment analysis, a pivotal aspect of natural language processing (NLP), has seen notable advancements with the advent of deep learning models. Despite these advancements, challenges persist in accurately capturing ...
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AI and EdTech are transforming education by making it more accessible, personalized, and assessable, even in low and middle income countries (LMICs) facing resource constraints. However, challenges come with unequal a...
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A complicated neurological illness, autism spectrum disorder (ASD) impacts social skills, communication, and other behavioral elements. Because the symptoms of ASD might be confused with those of other mental health c...
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Voice assistant applications have become integral parts of modern technology ecosystems, offering users convenient and efficient ways to interact with their devices. This paper introduces Voice Ai, a versatile voice a...
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In the area of farming, parts of the soil are of special note as it has to do with growing crops and provision of food for consumption. Soil analysis is also important in crop rating since it reflects some important I...
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