Results 41 to 50 of about 212,585 (307)
LSTM based Ensemble Network to enhance the learning of long-term dependencies in chatbot
International Journal for Simulation and Multidisciplinary Design Optimization, 2020 A chatbot is a software that can reproduce a discussion portraying a specific dimension of articulation among people and machines utilizing Natural Human Language.
Patil Shruti +3 more
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Structural-RNN: Deep Learning on Spatio-Temporal Graphs [PDF]
Computer Vision and Pattern Recognition, 2015 Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while many problems in computer vision inherently have an underlying high-level structure and ...
Ashesh Jain +3 more
semanticscholar +1 more source
Breast Cancer Disease Prediction With Recurrent Neural Networks (RNN) [PDF]
International Journal of Industrial Engineering and Production Research, 2020 Cancer is a consortium of diseases which comprises abnormal increase in cells growth by having potential to occupy and attack the entire body. According to study breast cancer is the most likely occurs in the women and which became the second biggest ...
sangapu venkata appaji +3 more
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Economic MPC of Nonlinear Processes via Recurrent Neural Networks Using Structural Process Knowledge [PDF]
, 2020 This work discusses three methods that incorporate a priori process knowledge into recurrent neural network (RNN) modeling of nonlinear processes to get increased prediction accuracy and provide information on how the neural network models are structured.
Park, Michael Jihyuck
core
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding [PDF]
AAAI Conference on Artificial Intelligence, 2017 Recurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used on NLP tasks to capture the long-term and local dependencies, respectively.
Tao Shen +5 more
semanticscholar +1 more source
SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS
Barekeng, 2023 Sentiment analysis is a form of machine learning that functions to obtain emotional polarity values or data tendencies from data in the form of text. Sentiment analysis is needed to analyze opinions, sentiments, reviews, and criticisms from someone for a
Muhammad Nazhif Abda Putera Khano +3 more
doaj +1 more source
Compressing Recurrent Neural Network with Tensor Train
, 2017 Recurrent Neural Network (RNN) are a popular choice for modeling temporal and sequential tasks and achieve many state-of-the-art performance on various complex problems.
Nakamura, Satoshi +2 more
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THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES
BarekengIn the financial markets, accurately forecasting the closing prices of gold futures is crucial for investors and analysts. Traditional methods like ARIMA (Autoregressive Integrated Moving Average) have been widely used for this purpose, particularly for ...
Windy Ayu Pratiwi +4 more
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IEEE Access, 2022 Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the popularity and widespread use of social media by individuals of all ages, it is vital to make social media platforms safer from cyberbullying.
Belal Abdullah Hezam Murshed +4 more
semanticscholar +1 more source
Modelling Time Series Data for Stock Prices Prediction Using Bidirectional Long Short-Term Memory
KnowbaseThe dynamic nature of stock markets, characterized by intricate patterns and sudden fluctuations, poses significant challenges to accurate price prediction. Traditional analytical methods are often unable to capture this complexity. This requires the use
Yenie Syukriyah, Adi Purnama
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