According to the company, Clever AI Humanizer enables teams to continue using AI for speed and scale while improving ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing 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 ...

This study explores the development of AI-powered adaptive systems for English language learning, focusing on leveraging Recurrent Neural Networks (RNNs) and Natural Language Processing (NLP) to ...

Abstract: This project focuses on addressing the challenge of multilingual SMS classification and speech synthesis by incorporating advanced deep learning models and secure delivery mechanisms.

Introduction: Plant phenotyping is a critical area in agricultural research that focuses on assessing plant traits quantitatively to enhance productivity and sustainability. While traditional methods ...

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...

Sometime in the 1960s, hypertext pioneer Ted Nelson envisioned deep linking to specific pieces of text as a core feature of his proposed Project Xanadu system. (My first exposure to Xanadu came in the ...

ABSTRACT: A multi-dimensional mathematical theory applied to texts belonging to the classical Greek Literature spanning eight centuries reveals interesting connections between them. By studying words, ...