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DESIGNING EFFECTIVE CHATBOT SYSTEM USING GRU WITH BEAM SEARCH

open access: yesICTACT Journal on Soft Computing, 2022
Artificial Intelligence (AI) based Chatbot is a moderately new technology in the world. AI and Natural Language Processing (NLP) empowers a Chatbot to converse like a human being.
Sandeep A. Thorat   +2 more
doaj   +1 more source

PRICE PROGNOSTICATION OF CURRENCY WITH DEEP LEARNING [PDF]

open access: yesICTACT Journal on Soft Computing, 2023
In this modern era of technology, the more secured ways are needed to deal with financial investments or transactions. Cryptocurrency can be named as one of the solutions for this concern.
Manisha Patil   +3 more
doaj   +1 more source

Click-through rate prediction model based on a deep neural network

open access: yes工程科学学报, 2022
The click-through rate (CTR) prediction task is to estimate the probability that a user will click an item according to the features of user, item, and contexts.
Hong-li LIU   +4 more
doaj   +1 more source

Gated Recurrent Unit Based On Feature Attention Mechanism For Physical Behavior Recognition Analysis

open access: yesJournal of Applied Science and Engineering, 2022
In order to overcome the problem that traditional machine learning methods rely heavily on artificial feature selection and have low recognition accuracy in the field of human behavior recognition, a deep learning model based on multi-layer recurrent ...
Wen Ying
doaj   +1 more source

Review on recent Computer Vision Methods for Human Action Recognition

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2022
The subject of human activity recognition is considered an important goal in the domain of computer vision from the beginning of its development and has reached new levels. It is also thought of as a simple procedure.
Azhee Wria Muhamada, Aree A. Mohammed
doaj   +1 more source

Learning and Generalization in RNNs

open access: yesCoRR, 2021
Simple recurrent neural networks (RNNs) and their more advanced cousins LSTMs etc. have been very successful in sequence modeling. Their theoretical understanding, however, is lacking and has not kept pace with the progress for feedforward networks, where a reasonably complete understanding in the special case of highly overparametrized one-hidden ...
Abhishek Panigrahi, Navin Goyal
openaire   +3 more sources

Advance Approach for Detection of DNS Tunneling Attack from Network Packets Using Deep Learning Algorithms

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2021
Domain Name System (DNS) is a protocol for converting numeric IP addresses of websites into a human-readable form. With the development of technology, to transfer information, a method like DNS tunneling is used which includes data encryption into DNS ...
Dr. Gopal Sakarkar   +6 more
doaj   +1 more source

Excitation Backprop for RNNs [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
CVPR 2018 Camera Ready ...
Sarah Adel Bargal   +5 more
openaire   +2 more sources

Research progress on neural network algorithms for mixed gas detection in coal mines

open access: yesGong-kuang zidonghua, 2023
When coal mine gas sensors are used for mixed gas detection, there is cross interference between measurement signals. It is difficult to ensure detection accuracy.
JIAO Mingzhi   +4 more
doaj   +1 more source

Distributed Online Pre-Processing Framework for Big Data Sentiment Analytics [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2022
Performing sentiment analysis on social networks big data can be helpful for various research and business projects to take useful insights from text-oriented content.
M. Molaei, D. Mohamadpur
doaj   +1 more source

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