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Digital Twins: A Comprehensive Study on Models, Platforms, Applications and Challenges
PD Singh, V Tripathi - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Technological innovation has created “digital twins,” which can replicate and synchronize
digital and physical things in (almost) real-time, assess situations from multiple perspectives …
digital and physical things in (almost) real-time, assess situations from multiple perspectives …
Bidirectional attentional mechanism for Arabic chatbot
F Youness, A Elshenawy, MA Makour - International Journal of Information …, 2024 - Springer
A chatbot is an intelligent agent that developed based on Natural language processing
(NLP) to interact with people in a natural language. The development of multiple deep NLP …
(NLP) to interact with people in a natural language. The development of multiple deep NLP …
A metaverse: Significance and dimensions in various sectors
The term “metaverse” is being spoken around often in the IT sector. Investments, startups
constructing components, new platform announcements, and major corporations joining this …
constructing components, new platform announcements, and major corporations joining this …
Intent recognition leveraging XLM-RoBERTa for effective NLU
Natural Language Processing (NLP) systems are vital for precisely interpreting user
intentions in order to guarantee efficient communication between people and computers …
intentions in order to guarantee efficient communication between people and computers …
Decrypting Secrets: Deep Learning for Unmasking Malicious Traffic
The prevailing of encrypted traffic in all network flows, including social media, has
significantly enhanced privacy and security for personal data. However, this widespread …
significantly enhanced privacy and security for personal data. However, this widespread …
Leveraging Cognitive Machine Reasoning and NLP for Automated Intent-Based Networking and e2e Service Orchestration
Modern networks are increasingly complex, necessitating dynamic and automated solutions
to connect user intents with network actions effectively. This study presents a new framework …
to connect user intents with network actions effectively. This study presents a new framework …
Enhancing Chatbot Intent Classification using Active Learning Pipeline for Optimized Data Preparation
K KULIGOWSKA, B KOWALCZUK - Journal of Applied Economic …, 2024 - ceeol.com
This study presents a novel approach to enhancing chatbot intent classification through an
optimized data preparation combined with Active Learning. We applied the clustering …
optimized data preparation combined with Active Learning. We applied the clustering …
[PDF][PDF] Intent Classification for Malaysian Academic Writers' Proofreader Chatbot Using Machine Learning
SNB Mustafa, LQB Zakaria - Journal of Theoretical and Applied Information …, 2024 - jatit.org
The intent classification component is important in develo** a chatbot as it helps the
chatbot system to understand the meaning and purpose of conversation from the user …
chatbot system to understand the meaning and purpose of conversation from the user …
Harnessing Deep Learning: Innovations and Practical Applications
M Kapalia, A Kaur, N Sharma - 2024 3rd Edition of IEEE Delhi …, 2024 - ieeexplore.ieee.org
In the recent years, Deep learning is an emerging and exciting subfield in machine learning.
The purpose of deep learning technique is to deal with complex problems with huge …
The purpose of deep learning technique is to deal with complex problems with huge …
Improve Accuracy in Healthcare Data Analysis using Competitive Ensemble Deep Learning Model
J Sravanthi, CS Reddy, A Mahendar… - … on Computing for …, 2024 - ieeexplore.ieee.org
This paper discusses the significance of Machine Learning (ML) and Deep Learning (DL)
techniques for structured and unstructured healthcare data. As healthcare data is increasing …
techniques for structured and unstructured healthcare data. As healthcare data is increasing …