Background: Near misses are incidents which might have resulted in a maternal death, but for prompt and effective treatment.Characterizing near-miss mortality is valuable for monitoring the quality of hospital based obstetric care, and for assessing the incidence of life threatening complications.It is the major indicator used to monitor maternal h
Currently barriers are still faced by salt farmers because they still use traditional technology in salt production so traditional farmers are less competitive than other modern salt products.The method of Foam Sealing Tape data collection was carried out by analyzing sea water quality survey and test at the Research and Development Agency of the I
Machine Learning (ML) is now becoming a key driver empowering the next generation of drone technology and VIT E 14 extending its reach to applications never envisioned before.Examples include precision agriculture, crowd detection, and even aerial supply transportation.Testing drone projects before actual deployment is usually performed via robotic
Objectives Accurate prediction of heart failure (HF) patients at high risk of atrial fibrillation (AF) represents a potentially valuable tool to inform shared decision making.No validated prediction model for AF in HF is currently available.The objective was to develop clinical prediction models for 1-year risk of AF.Methods Using the Danish Heart
Abstract K-singular value decomposition (K-SVD) is a frequently used dictionary learning (DL) algorithm Electrical Muscle Stimulators that iteratively works between sparse coding and dictionary updating.The sparse coding process generates sparse coefficients for each training sample, and the sparse coefficients induce clustering features.In the app