Performance Measurement with High-Performance Computer Using Hw-Ga Anomaly-Detection Algorithms for Streaming Data

Anomaly detection for streaming real-time data is very important;more signifi-cant is the performance of an algorithm in order to meet real-time requirements. Anomaly detection is very crucial in every sector because, by knowing what is going wrong with data/digital systems, we can make decisions to help in every sector. Dealing with real-time data requires speed;for this reason, the aim of this paper is to measure the performance of our proposed Holt-Winters gene-tic algorithm (HW-GA) as compared to other anomaly-detection algorithms with a large amount of data as well as to measure how other factors such as visualization and the performance of the testing environment affect the algori-thm's performance. The experiments will be done in R with different data sets such as the as real Covid-19 and IoT sensor data that we collected from Smart Agriculture Libelium sensors and e-dnevnik 1 as well as three benchmarks from the Numenta data sets. The real data has no known anomalies, but the ano-malies are known in the benchmark data;this was done in order to evaluate how the algorithm works in both situations. The novelty of this paper is that the performance will be tested on three different computers (in which one is a high-performance computer);also, a large amount of data will be used for our testing, as will how the visualization phase affects the algorithm's performance.

COVID 19 Patient Who underwent Cardiac Surgery and Their Postoperative Outcomes

The pandemic of Coronavirus Disease 2019 (COVID19) has had a major influence on worldwide surgery. The heart and circulatory system have been shown to be negatively affected by SARS-CoV-2 infection. It's challenging to decide whether to operate on urgent patients with active/recent COVID-19 infection, especially because it's still an unknown disease entity in the context of emergent cardiac surgery. COVID19 and cardiac surgery have also been shown to have a deleterious influence on pulmonary function. As a result, we wanted to see how COVID-19 positive individuals fared following heart surgery. From 2018 to 2022, a search was conducted in Pub Med, Scholar, and Mesh for this study. Clinical trials and observational studies published in English were excluded from the search. After titles and s were reviewed, followed by a full text analysis, only six papers fulfilled the inclusion criteria. These patients' conditions may not have resulted in serious problems. However, deciding whether or not to operate on urgent patients with active or recent COVID-19 infection is problematic.