Results 81 to 90 of about 261,268 (307)
Efficient processing of GRU based on word embedding for text classification
JOIV: International Journal on Informatics Visualization, 2019 Text classification has become very serious problem for big organization to manage the large amount of online data and has been extensively applied in the tasks of Natural Language Processing (NLP).
Muhammad Zulqarnain +3 more
doaj +1 more source
High Relative Accuracy Computations With Covariance Matrices of Order Statistics
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz +3 more
wiley +1 more source
A COMPREHENSIVE APPROACH TO SENTIMENT ANALYSIS ON IMDB DATASET USING THE EMBED-FLOW MODEL [PDF]
Proceedings on Engineering SciencesIn solving binary classification problems, deep learning models are very effective, and they are used in a variety of domains such as natural language processing and medicinal research.
Sahitya Satya +3 more
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Sleep Research, EarlyView.Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley +1 more source
Small, EarlyView.Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
wiley +1 more source
Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya
Computational and Mathematical BiophysicsThis study aims to enhance coronavirus disease 2019 forecasting in Kenya by comparing the predictive performance of statistical, machine learning, and deep learning (DL) models for total cases, critical cases, severe cases, and total deaths, using data ...
Kiarie Joyce +4 more
doaj +1 more source
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)Stock price prediction continues to be a major focus for investors today, some previous studies often focus on technical analysis using historical stock price data and ignore external factors that can affect stock prices.
Anita Sjahrunnisa +2 more
doaj +1 more source
Data source authentication of synchrophasor measurement devices based on 1D-CNN and GRU
, 2021 Shengyuan Liu +8 more
openalex +2 more sources