Publications by authors named "S Wasi"
Article Synopsis
- - This article outlines a semantic web-based method to extract valuable information from the annual financial reports of banks, transforming unstructured data into a structured, queryable format using a knowledge graph.
- - It addresses the difficulties caused by inconsistent terminology across different financial reports and proposes an ontological approach to standardize these terminologies, enhancing data understanding.
- - The implementation of the knowledge graph is tested with actual bank data, demonstrating its usefulness in search engines, recommendation systems, and financial storytelling, while also evaluating the accuracy of the extracted information through specific competency questions.
Nephrotoxicity refers to the toxigenic impact of compounds and medications on kidney function. There are a variety of drug formulations, and some medicines that may affect renal function in multiple ways via nephrotoxins production. Nephrotoxins are substances that are harmful to the kidneys.
View Article and Find Full Text PDFThe quality of groundwater in the Jaunpur district of Uttar Pradesh is poorly studied despite the fact that it is the only supply of water for both drinking and irrigation and people use it without any pre-treatment. The evaluation of groundwater quality and suitability for drinking and irrigation is presented in this study. Groundwater samples were collected and analysed by standard neutralisation and atomic emission spectrophotometry for major anions (HCO, SO, Cl, F, NO), cations (Ca, Mg, Na, K), and heavy metals (Cd, Mn, Zn, Cu, and Pb).
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- * The average BMI of participants was 23.5, with 69.2% classified as normal weight, while 31.2% were either overweight or obese; most students reported excessive TSED of 6+ hours daily.
- * Despite the observed trend of rising BMI with increased TSED, the results showed no statistically significant correlation, indicating that other factors might contribute to increased BMI in young adults.
Traffic congestion, accidents, and pollution are becoming a challenge for researchers. It is essential to develop new ideas to solve these problems, either by improving the infrastructure or applying the latest technology to use the existing infrastructure better. This research paper presents a high-resolution dataset that will help the research community to apply AI techniques to classify any emergency vehicle from traffic and road noises.
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