Abstract Background Diagnosis and treatment of patients in the clinical setting is often driven by known symptomatic factors that distinguish one particular condition from another.Treatment based on noticeable symptoms, however, is limited to the types of clinical biomarkers collected, and is prone to overlooking dysfunctions in physiological facto
Search based Universal Simmerstat test data generation has gained popularity in recent times.Mutation testing can assist in improving the effectiveness of the generated test data.We recently proposed PSO-MT (Particle Swarm Optimization along with Mutation Testing) for generation of test data.In this paper, we fortify our proposal by applying the pr
In this work, two embroidered textile moisture sensors are characterized with three different conductive yarns.The sensors are based on a capacitive interdigitated structure embroidered on a cotton substrate with an embroidered conductor yarn.The performance comparison of three different type of conductive yarns has been addressed.In order to evalu
The paper presents the principles and features of the use of machine Headband learning methods to assess the power system reliability.Based on the analysis of publications, the main approaches to the application of machine learning methods are given.A prototype of an automatic system has been developed to identify in Mealtime real time potentially
Intracranial fungal granulomas can be misdiagnosed clinically and radiologically as neoplastic lesions.They also rarely occur without any history of immunodeficiency or diabetes.We report two such cases of fungal granulomas that were unsuspected clinically and POS radiologically but were detected on intraoperative squash cytology (SC) and later con