Deep learning for Arabic healthcare: MedicalBot

M Abdelhay, A Mohammed, HA Hefny - Social Network Analysis and …, 2023 - Springer
Since the COVID-19 pandemic, healthcare services, particularly remote and automated
healthcare consultations, have gained increased attention. Medical bots, which provide …

A deep neural network model for coreference resolution in geological domain

B Wan, S Dong, D Chu, H Li, Y Liu, J Fu, F Fang… - Information Processing …, 2023 - Elsevier
Coreference resolution of geological entities is an important task in geological information
mining. Although the existing generic coreference resolution models can handle geological …

SemSyn: Semantic-Syntactic Similarity Based Automatic Machine Translation Evaluation Metric

S Chauhan, R Kumar, S Saxena, A Kaur… - IETE journal of …, 2024 - Taylor & Francis
Machine translation evaluation is difficult and challenging for natural languages because
different languages behave differently for the same dataset. Lexical-based metrics have …

[HTML][HTML] Evaluating emotional and subjective responses in synthetic art-related dialogues: A multi-stage framework with large language models

C Luna-Jiménez, M Gil-Martín, LF D'Haro… - Expert Systems with …, 2024 - Elsevier
Abstract The appearance of Large Language Models (LLM) has implied a qualitative step
forward in the performance of conversational agents, and even in the generation of creative …

A comprehensive survey of trending tools and techniques in deep learning

A Prakash, S Chauhan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Automated feature learning is now possible in various fields, including healthcare, image
recognition, and, more recently, feature extraction and classification of simple and complex …

[Retracted] Analysis of Chinese Machine Translation Training Based on Deep Learning Technology

Y Sun - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
With the advent of the information age, people can establish good communication through
Internet technology. Mechanical translation has become a key means to solve people's …

Enhanced unsupervised neural machine translation by cross lingual sense embedding and filtered back-translation for morphological and endangered Indic …

S Chauhan, S Saxena, P Daniel - Journal of Experimental & …, 2022 - Taylor & Francis
The fast growth of communication technology has brought nations and their cultures closer
together, and the demand for cross-language communication has risen tremendously. There …

Exploring Innovative Methods for Enhancing Data Security in Computing

A Prakash, S Chauhan - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Thousands of gigabytes of data are produced each minute by everyone in today's society.
This data is being stored in clouds worldwide. The study addressed these security issues in …

SES-Net: A Novel Multi-Task Deep Neural Network Model for Analyzing E-learning Users' Satisfaction via Sentiment, Emotion, and Semantic

S Sandiwarno, Z Niu, AS Nyamawe - International Journal of …, 2024 - Taylor & Francis
Understanding users' satisfaction is fundamental for enhancing the effectiveness and
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …

Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation

R Kimera, YS Kim, H Choi - arXiv preprint arXiv:2404.01070, 2024 - arxiv.org
This paper addresses the ethical challenges of Artificial Intelligence in Neural Machine
Translation (NMT) systems, emphasizing the imperative for developers to ensure fairness …