Fouzia Nawaz¹, Muhammad Ramzan¹, Khalid Mehmood¹, Hikmat Ullah Khan², Saleem Hayat Khan^3,4, Muhammad Raheel Bhutta^5,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1631-1645, 2021, DOI:10.32604/cmc.2020.012887

Abstract Diabetic retinopathy (DR) is a retinal disease that causes irreversible blindness. DR occurs due to the high blood sugar level of the patient, and it is clumsy to be detected at an early stage as no early symptoms appear at the initial level. To prevent blindness, early detection and regular treatment are needed. Automated detection based on machine intelligence may assist the ophthalmologist in examining the patients’ condition more accurately and efficiently. The purpose of this study is to produce an automated screening system for recognition and grading of diabetic retinopathy using machine learning through deep transfer and representational learning.… More >

Abdul Waheed^1,2,*, Naila Habib Khan³, Mahdi Zareei⁴, Shahab Ul Islam⁵, Latif Jan^5,6, Arif Iqbal Umar¹, Ehab Mahmoud Mohamed^7,8

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 359-372, 2021, DOI:10.32604/cmc.2020.012196

Abstract Congestion control is one of the main obstacles in cyberspace traffic. Overcrowding in internet traffic may cause several problems; such as high packet hold-up, high packet dropping, and low packet output. In the course of data transmission for various applications in the Internet of things, such problems are usually generated relative to the input. To tackle such problems, this paper presents an analytical model using an optimized Random Early Detection (RED) algorithm-based approach for internet traffic management. The validity of the proposed model is checked through extensive simulation-based experiments. An analysis is observed for different functions on internet traffic. Four… More >

Fabricio González‐Andrade, Daniel Echeverría, Valeria López, Michaela Arellano

Congenital Heart Disease, Vol.13, No.6, pp. 911-918, 2018, DOI:10.1111/chd.12654

Abstract Objective: To assess the pulse oximetry as a method for screening critical congenital heart disease (CHD) in newborns.
Study design: This is an observational, transversal, descriptive simple study. The pre‐ ductal and postductal saturation were taken in term newborns thatfulfilled the criteria of inclusion and exclusion in the Hospital Gineco‐Obstetrico Isidro Ayora (HGOIA) in Quito. These measurements were performed between the 24 and 48 h after birth. Those new‐ borns that saturated less than 90% on initial pulse oxìmetry underwent 3 successive measurements at 1‐h intervals. Those who saturate less than 90% after 3 measurements or have a difference higher… More >