Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning

S Aghalya, NV Rao, RR Roy… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Early detection and intervention are essential for respiratory disease management and
patient outcomes. The paper presents an integrated system that integrates Internet of Things …

Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results

K Mridha, FG Tola, S Sarkar, N Arefin, S Ghimire… - … Conference on Multi …, 2023 - Springer
Malaria is a deadly infectious disease that claims numerous lives worldwide each year,
primarily due to delayed or incorrect diagnosis using the manual microscope. This article …

Emotion Recognition: A New Tool for Healthcare Using Deep Learning Algorithms

K Mridha, T Sarker, R Zaman, M Shukla… - … Conference on Electrical …, 2023 - Springer
Emotion recognition is a challenging task, but it has many potential applications in areas
such as human–computer interaction, healthcare, and marketing. The capacity to record in …

Respiratory disorder classification based on lung auscultation using MFCC, Mel Spectrogram and Chroma STFT

A Bapa, O Bandgar, A Ekapure… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
A significant portion of the population suffers from various lung function disorders on a daily
basis, which ultimately result in respiratory problems. For respiratory disorders to be …

Enhancing IVR Systems in Mobile Banking with Emotion Analysis for Adaptive Dialogue Flows and Seamless Transition to Human Assistance

A Ozpinar, E Alpan, T Celik - Orclever Proceedings of …, 2023 - journals.orclever.com
This study introduces an advanced approach to improving Interactive Voice Response (IVR)
systems for mobile banking by integrating emotion analysis with a fusion of specialized …