A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
Abstract: This paper outlines the development of a deep learning approach for dealing with tabular data in crop yield prediction. The deep learning approach is developed based on the depthwise ...
Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...
NeuralSheild AI, an open-source, cross-platform AI spam detection engine using Logistic Regression. Actively protecting Email, SMS, Telegram, and Instagram. Join us in building a safer internet. The ...
Abstract: This research investigates classifying human and AI-generated text, which is crucial in this era of AI technology and the evolution of large language models (LLMs). This highlights a ...
This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
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