A novel cascaded approach for classification of tuberculosis using cough audio in real-time environment

Published in: IEEE Access

Dec 17, 2024

Haroon Mahmood Manal Iftikhar Aamir Wali Arshad Ali Maryam Gulzar

Tuberculosis (TB) is an infectious disease primarily impacting the lungs. It spreads through the air when an infected person coughs, sneezes, or talks. Diagnosing TB involves clinical examinations and specialized tests performed by medical professionals. Coughing is a common symptom. The diagnosis of TB involves clinical examinations and specialized tests. However, studies have shown that medical doctors can distinguish between cough sounds associated with different respiratory conditions. Ther...

Image encryption algorithm based on factorial decomposition

Published in: Multimedia Tools and Applications

Dec 16, 2024

This study proposes a highly efficient image encryption algorithm by employing a rapid key generation approach and permutation structure. The image is converted to a matrix, and then an encryption algorithm based on factorial decomposition permutation is applied. Two variants of the algorithm have been proposed in this study, where each variant is distinguished by the elements of the matrix to be permutated. The first variant is based on the permutation of the pixels of the image. In the second...

Optimized Coverage of Urban Territory for Traffic Surveillance using Multiple UAVs

Published in: Global Congress on Emerging Technologies (GCET-2024)

Dec 09, 2024

Saba Tariq Haroon Mahmood Farooq Ahmad Aamir Wali

With ever increasing vehicles on the roads, traffic congestion is one of the major concerns of the modern world. Cities frequently experience heavy traffic, especially in developing countries due to lack of technology and automatic control systems. To address this issue, numerous models of traffic monitoring have been proposed by researchers. However, due to the static nature of these approaches, they are either inefficient or require a lot of resources and in turn a huge investment. Use of low...

A multi-layered security framework for medical imaging: integrating compressed digital watermarking and blockchain

Published in: IEEE ACCESS

Dec 06, 2024

In electronic healthcare, patient medical imaging data is critical for remote diagnostic procedures. The increasing demand to harness the potential of these medical images necessitates their secure sharing among various entities, including hospitals, medical institutions, and insurance companies. However, third-party access and possible manipulation make it challenging to maintain the ownership and integrity of this data. This study introduces a novel approach that combines compression, digital...