Evaluation of an Arabic chatbot based on extractive question-answering transfer learning and language transformers

TN Alruqi, SM Alzahrani - AI, 2023 - mdpi.com
Chatbots are programs with the ability to understand and respond to natural language in a
way that is both informative and engaging. This study explored the current trends of using …

Implementasi AI Chatbot Sebagai Support Assistant Website Universitas Nurul Jadid Menggunakan Algoritma Long Short-Term Memory (LSTM)

ME Rianto, M Maulidiansyah… - Journal of Electrical …, 2024 - ejournal.unuja.ac.id
Perkembangan teknologi semakin pesat, menciptakan perubahan besar dalam berbagai
aspek kehidupan termasuk pada sektor pendidikan. Universitas Nurul Jadid merupakan …

[PDF][PDF] Improving chatbot performance using hybrid deep learning approach

P Naveen, SC Haw, D Nadthan… - Journal of System and …, 2023 - aasmr.org
A chatbot is a computer program that is implemented to communicate with clients via natural
language. Suruhanjaya Syarikat Malaysia (SSM) is a Malaysian statutory authority that …

An improved chatbot for medical assistance using machine learning

R Reshma - 2022 International Conference on Inventive …, 2022 - ieeexplore.ieee.org
In most cases, users are unaware of all treatment options or symptoms related to a specific
illness. For small difficulties, the user must go straight to the hospital for a checkup, which …

A Web-Based Chatbot for Indian Cities: A Comparison of CNN, ANN, and LSTM Models

AMA Sai, O Balamurali, M Karthikeya… - 2023 14th …, 2023 - ieeexplore.ieee.org
Digital transformation is necessary to bring an inclusive opportunity for technology and
society to meet the needs brought by both environment, circumstances, and events. In this …

Reducing carbon emissions in the architectural design process via transformer with cross-attention mechanism

HD Li, X Yang, HL Zhu - Frontiers in Ecology and Evolution, 2023 - frontiersin.org
Introduction The construction industry is one of the world's largest carbon emitters,
accounting for around 40% of total emissions. Therefore, reducing carbon emissions from …

Understanding the performance of AI algorithms in Text-Based Emotion Detection for Conversational Agents

SD Kusal, SG Patil, J Choudrie… - ACM Transactions on …, 2024 - dl.acm.org
Current industry trends demand automation in every aspect, where machines could replace
humans. Recent advancements in conversational agents have grabbed a lot of attention …

Conversational AI for Mental Health Support

S Kulkarni, E Parkar, R Lonkar, P Pareek… - 2024 MIT Art, Design …, 2024 - ieeexplore.ieee.org
Conversational AI can provide 24/7 access to mental health resources and services. Virtual
assistants and chatbots can be used to detect early warning signs and symptoms of mental …

Affective computing: an introduction to the detection, measurement, and current applications

G Gaudi, B Kapralos, KC Collins, A Quevedo - Advances in Artificial …, 2022 - Springer
Affective computing aims to design and develop natural human-user interfaces that respond
to the emotional needs of the user, bridging the gap between humans and technology. With …

An optimal weighted combined model coupled with feature reconstruction and deep learning for multivariate stock index forecasting

J Wang, Y Liao, Z Zhuang, D Gao - Mathematics, 2021 - mdpi.com
Stock index prediction plays an important role in the creation of better investment strategies.
However, prediction can be difficult due to the random fluctuation of financial time series. In …