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 …

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 …

A metaverse: Significance and dimensions in various sectors

R Joshi, K Pandey, S Kumari - 2024 11th International …, 2024 - ieeexplore.ieee.org
The term “metaverse” is being spoken around often in the IT sector. Investments, startups
constructing components, new platform announcements, and major corporations joining this …

Intent recognition leveraging XLM-RoBERTa for effective NLU

KK Jayanth, GB Mohan, RP Kumar… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Natural Language Processing (NLP) systems are vital for precisely interpreting user
intentions in order to guarantee efficient communication between people and computers …

Decrypting Secrets: Deep Learning for Unmasking Malicious Traffic

S Sethi, R Patil, S Rani, M Anjum… - … on Computing for …, 2024 - ieeexplore.ieee.org
The prevailing of encrypted traffic in all network flows, including social media, has
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

M Asif, TA Khan, WC Song - IEEE Access, 2025 - ieeexplore.ieee.org
Modern networks are increasingly complex, necessitating dynamic and automated solutions
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 …

[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 …

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 …

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 …