This paper presents an optimization example using a new paradigm for viewing the work of Wireless Sensor Networks. In our earlier paper [1] the Observed Field (OF) is described as a multi-dimensional “Information Space” (ISp). The Wireless Sensor Network is described as a “Transformation Space” (TS), while the information collector is a single point consumer of information, described as an “Inf...

Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membership functions. These linguistic variables should be optimized at the level of single rules or sets of rules. Assuming the Gaussian uncertainty of input values allows to increase the accuracy of predictions and to estima...

Aims of traditional planners had been limited to finding a sequence of operators rather than finding an optimal or neax-optimal final state. Consequent]y, the performance improvement systems combined with the planners had only aimed at efficiently finding an axbitraxy solution, but not necessarily the optimal solution. However, there axe many domains where we call for quality of the final state...

We propose a novel model-based hearing compensation strategy and gradient-free optimization procedure for a learning-based hearing aid design. Motivated by physiological data and normal and impaired auditory nerve models, a hearing compensation strategy is cast as a neural coding problem, and a Neurocompensator is designed to compensate for the hearing loss and enhance the speech. With the goal...

background: problem-based learning (pbl) is one of the most commonly used educational methods in medical schools of different countries. by working through this method, students think critically, generate ideas, and acquire the knowledge and skills required to become a doctor. objectives: this study aimed to compare problem-based learning with lecture-based learning in the education of medical ...

In this paper, we study from the perspective of an insurance company the Reinsurance Contract Placement problem. Given a reinsurance contract consisting of a fixed number of layers and a set of expected loss distributions (one per layer) as produced by a Catastrophe Model, plus a model of current costs in the global reinsurance market, identifying optimal combinations of placements (percent sha...

background and purpose: determined outcomes in education are based on the ultimate expectations from the medical graduates. methods: one hundred and two medical school graduates of the last 4 years of universities located in a city were asked in 2015 to self-evaluate themselves according to 42 expected skill outcomes. these 42 procedures were approved in 2007, by expert panels of iranian minist...

background: in the present study, we studied the clinical students’ viewpoints toward traditional and case study training methods. methods: this analytical descriptive study was conducted in cardiac ward of valiasr hospital in birjand from 1389 to 1390. 5 training sessions in the form of case presentation were held during a one-month course in cardiac ward. the trainer prepared a powerpoint fil...

Reliable prediction of individual learning performance can facilitate timely support to students and improve the experience. In this study, two well-known machine-learning techniques, that is, vector machine (SVM) artificial neural network (ANN), are hybridized by teaching–learning-based optimizer (TLBO) reliably predict student exam (fail-pass classes final scores). For defined classification ...