A. Balasundaram^1,*, Golda Dilip², M. Manickam³, Arun Kumar Sivaraman⁴, K. Gurunathan⁵, R. Dhanalakshmi⁶, S. Ashokkumar⁷

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 693-704, 2022, DOI:10.32604/iasc.2022.022241 - 17 November 2021

Abstract In the present world, video surveillance methods play a vital role in observing the activities that take place across secured and unsecured environment. The main aim with which a surveillance system is deployed is to spot abnormalities in specific areas like airport, military, forests and other remote areas, etc. A new block-based strategy is represented in this paper. This strategy is used to identify unusual circumstances by examining the pixel-wise frame movement instead of the standard object-based approaches. The density and also the speed of the movement is extorted by utilizing optical flow. The proposed More >

Zainab Arshad¹, Sohail Masood Bhatti^2,*, Huma Tauseef³, Arfan Jaffar²

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1195-1205, 2022, DOI:10.32604/iasc.2022.022160 - 17 November 2021

Abstract According to the World Health Organization, 31% death rate in the World is because of cardiovascular diseases like heart arrhythmia and heart failure. Early diagnosis of heart problems may help in timely treatment of the patients and hence control death rate. Heart sounds are good signals of heart health if examined by an expert. Moreover, heart sounds can be analyzed with inexpensive and portable medical devices. Automatic heart sound classification can be very useful in diagnosing heart problems. Major focus of this research is to study the existing techniques for heart sound classification and develop More >