Abstract: Rule based systems store knowledge as a set of rules and reason over them to solve problems. A new hype rough net approach for rule generation, representation and reasoning of knowledge-based system using rough sets and Petri nets is presented in this paper. A Rough Petri Net (RPN) is proposed for representing knowledge and formalism for the verification of rule-based systems. The mai...

Nephron sparing surgery (NSS) is the gold standard treatment option for patients with a solitary kidney in order to preserve renal function. Open partial nephrectomy (OPN) has been long considered the standard care for NSS. Robotic partial nephrectomy (RPN) is being gradually used more commonly even for solitary kidney and complex tumors. There was no difference between RPN and OPN regarding th...

Purpose. Transoral robotic surgery (TORS) has increased in popularity in the management of squamous cell carcinoma of the head and neck. However, TORS does not address the neck or retropharyngeal nodes (RPN). In the current report, we highlight the impact of the lack of adjuvant radiotherapy on RPN recurrence after TORS. Materials and Methods. A 58-year-old Caucasian male presented with squamou...

Retroperitoneoscopic partial nephrectomy (RPN) is one of the standard methods for treating T1-stage renal carcinoma, which has a narrow operational space and a difficult surgical procedure. The aim of this study was to examine the safety and feasibility of renal-rotation techniques in RPN. Between April 2012 and June 2014, the renal-rotation technique in RPN was performed in 22 male and 16 fema...

Over the years, researchers have tried to extend Petri net to model multimedia. The focus of the research flows from the synchronization of multimedia without user interactions, to interactions in distributed environments. The issues in concern are the flexibility and compactness of the model when applied to model a system under change. Most existing models lack the power to model a system unde...

This chapter explores the mathematical and algorithmic properties of two sample-based texture models: random phase noise (RPN) and asymptotic discrete spot noise (ADSN). These models permit to synthesize random phase textures. They arguably derive from linearized versions of two early Julesz texture discrimination theories. The ensuing mathematical analysis shows that, contrarily to some statem...

PURPOSE To determine the feasibility and safety of robotic partial nephrectomy (RPN), we compared the operative outcomes of patients who had undergone RPN with those of patients who had undergone laparoscopic partial nephrectomy (LPN). MATERIALS AND METHODS Between February 2009 and June 2010, 13 patients underwent transperitoneal RPN (group 1) and 14 patients underwent transperitoneal LPN (g...

| In this paper, a new class of higher-order feedforward neural networks, called ridge polynomial networks (RPN) is formulated. The new networks are shown to uniformly approximate any continuous function on a compact set in multidimensional input space with any degree of accuracy. Moreover, these networks have an eecient and regular architecture as compared to ordinary higher-order feedforward ...

INTRODUCTION For the treatment of renal tumors, minimally invasive nephron-sparing surgery has become increasingly performed due to proven efficiency and excellent functional and oncological outcomes. The introduction of robotics into urologic laparoscopic surgery has allowed surgeons to perform challenging procedures in a reliable and reproducible manner. We present our surgical technique for ...