Deep learning for Arabic healthcare: MedicalBot
Since the COVID-19 pandemic, healthcare services, particularly remote and automated
healthcare consultations, have gained increased attention. Medical bots, which provide …
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 …
mining. Although the existing generic coreference resolution models can handle geological …
SemSyn: Semantic-Syntactic Similarity Based Automatic Machine Translation Evaluation Metric
Machine translation evaluation is difficult and challenging for natural languages because
different languages behave differently for the same dataset. Lexical-based metrics have …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation
This paper addresses the ethical challenges of Artificial Intelligence in Neural Machine
Translation (NMT) systems, emphasizing the imperative for developers to ensure fairness …
Translation (NMT) systems, emphasizing the imperative for developers to ensure fairness …