This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm.All the sensitive and high-level features are extracted by using the first auto-encoder which is wired to the second auto-encoder, fo
Intraperitoneal metastases commonly recur after surgery because small tumor foci escape detection within the complex anatomy of the peritoneal cavity and mesentery.Accurate localization of Zodiac G3 Parts peritoneal implants during surgery could improve the resection of ovarian cancer and other malignancies, but few practical techniques to enhance
This study employs the object-oriented Cart (Classification and Regression Trees) decision tree methodology to delineate contiguous gravel areas within Zamu town.The primary objective is to devise a 3 bag collection technique capable of efficiently identifying small-scale features on a macroscopic scale.Given the pervasive and uninterrupted distrib
The chemistry of 1,3,4-thiadiazole is one of the most interesting scaffolds for synthesizing new drug molecules due to their numerous pharmacological activities.Several modifications in the thiadiazole ring have been made, proving it to be more potent and Vibrators highly effective with a less toxic scaffold Girls Bottoms for various biological act
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques.The model training is based on biosignals acquired in a randomized controlled trial.Wearable sensors were used to collect electrocardiogram, electrodermal activity, and respiration fr