The study “Smart Grid Cybersecurity: Anomaly Detection in Solar Power Systems Using Deep Learning” is the joint effort of researchers from Noida International University and Dayananda Sagar University ...
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 ...
Abstract: The study presents a price prediction of stock framework utilizing machine learning, specifically focusing on (Long Short-Term Memory) as the primary technique. LSTM is highlighted for its ...
Long short-term memory (LSTM) networks have become indispensable tools in hydrological modeling due to their ability to capture long-term dependencies, handle non-linear relationships, and integrate ...
Abstract: Physical activity energy expenditure (PAEE) offers significant benefits for general healthcare monitoring and has the potential to promote healthy and active aging for elderly individuals.
In deepmd v3, the inference results from the DPLR model are incorrect when using the Python interface. In deepmd-v3, the long-range correction (i.e., the data modifier) is not calculated and added to ...
Irregular waves exhibit complex and erratic behavior, posing significant challenges for accurate short-term ship motion forecasting. Reliable ship navigation depends on precise motion predictions, ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Blood cultures are the gold standard for diagnosing bacterial bloodstream infections, but test results ...
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