For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
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Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
While nanopore technologies have revolutionized DNA and RNA analysis, their application to proteins has been limited due to ...
Researchers at University of Tsukuba have achieved a significant breakthrough by employing scatterometry, a technique ...
The cryptocurrency ecosystem is attracting more financial professionals, drawn by its volatility and potential for outsized ...
Abstract: The widespread usage of Microsoft Windows has unfortunately led to a surge in malware, posing a serious threat to the security and privacy of millions of users. In response, the research ...
Abstract: Craniofacial growth pattern analysis is of paramount importance in accurate diagnosis and orthodontic treatment planning. Conventional cephalometric analysis is time consuming and subjects ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
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