Knowledge graphs are graph-structured data models that provide a robust scheme for representing real-world relational facts with structured triples.The structural and factual information in knowledge graphs are extensively leveraged in various downstream applications.Unfortunately, knowledge graphs often contain incorrect triples due to the automat
Fiber optic Raman spectroscopy offers labelfree identification of cancer in the bladder under in vivo conditions.However, state-of-the-art Raman technology does not enable to scan the entire bladder wall.Our multidimensional approach within the project Uro-MDD combines panoramic 3D-image reconstruction of white light cystoscopy and fluorescence lif
This paper describes a case of renal pelvic cancer with a complete duplication of the renal pelvis and ureter, which is substantially rare.A 76-year-old man was referred to the hospital because of gross hematuria for 2 years.A tumor was detected in the upper right kidney using enhanced computed tomography and magnetic resonance imaging scan, and th
This study explores the application of a machine learning model called Multi-Layer Perceptron Regression (MLPR) for building cooling demand prediction.Through a hybridization technique with two cutting-edge optimization algorithms, the Brown Bear Optimization Algorithm (BBOA) and the Non-Monopolize Search Algorithm (NMSA), it sets out to explore it