Spectral matching algorithms can be used for the identification of unknown spectra based on a measure of similarity with one or more known spectra. Two popular spectral matching algorithms use different error metrics and constraints to determine the existence of a spectral match. Multiple endmember spectral mixture analysis (MESMA) is a linear mixing model that uses a root mean square error (RM...

An approach was evaluated for the retrieval of soil moisture of bare soil surface using bistatic scatterometer data in the angular range of 200 to 700 at VVand HHpolarization. The microwave data was acquired by specially designed X-band (10 GHz) bistatic scatterometer. The linear regression analysis was done between scattering coefficients and soil moisture content to select the suitable incide...

Today Recommendation systems [6] have become indispensable because of the sheer overload of information made available to a user from web-services(Netflix, IMDB, Amazon, Yelp and many others). Recommendation systems are a well studied research area. In the following work, we present our study on the Netflix Challenge [3]. The Netflix Challenge can be summarized in the following way : Given a mo...

This paper presents the application of neuro-fuzzy method for prediction of vehicle fuel consumption prediction. Prediction motor vehicle fuel consumption has become a strategic issue, because it is not only related to the issue of availability of fuel but also the problem of the environmental impact caused. This study used automobile data, i.e. number of cylinders, displacement, horsepower, we...

هدف: هدف پژوهش حاضر، ساخت و اعتبار­سنجی سیاهه آسیب‌شناسی روانشناختی نوجوانان در فضای مجازی بود. روش: روش آمیخته اکتشافی (کیفی-کمی) بدین منظور با استفاده از تحلیل مضمون مقالات مصاحبه‌های انجام‌شده متخصصان فعال مجازی، آسیب­ ها شناسایی شدند بر اساس آن ­ای ساخته شد. جامعه آماری بخش کیفی شامل مقالات، اساتید دانشگاه­ های اراک، اصفهان، امام خمینی قزوین شهر اراک بودند که نمونه هدفمند آنها انتخاب کمی بو...

هدف: پژوهش حاضر با هدف بررسی مقایسه اثربخشی گروه درمانی شناختی – رفتاری و ذهن ­آگاهی مبتنی بر شناخت کاهش رفتارهای پرخطر در معتادان ترک افیونی صورت گرفت. روش: روش این شبه آزمایشی طرح پیش آزمون پس همراه کنترل است. جامعه­ی آماری شامل کلیه افراد وابسته به مواد مراجعه کننده مرکز اعتیاد شبکه بهداشت درمان شهرستان سرپل ذهاب نیمه اول سال 1396 بود، نمونه­ گیری دسترس تعداد 36 نفر تشخیص وابستگی اساس معیاره...

Eutrophication is an increasing problem in coastal waters of the Baltic Sea. Moreover, algal blooms, which occur every summer in the Gulf of Gdansk can deleteriously impact human health, the aquatic environment, and economically important fisheries, tourism, and recreation industries. Traditional laboratory-based techniques for water monitoring are expensive and time consuming, which usually re...

Image registration is a fundamental enabling technology in computer vision. Developing an accurate image registration algorithm will significantly improve the techniques for computer vision problems such as tracking, fusion, change detection, autonomous navigation. In this paper, our goal is to develop an algorithm that is robust, automatic, can perform multi-modality registration, reduces the ...

Latent Semantic Analysis (LSA) is a statistical technique for extracting semantic information from text corpora. LSA has been used with success to automatically grade student essays (Intelligent Essay Scoring), model human language learning, and model language comprehension. We examine how LSA may help to predict a reader’s interest in a selection of news articles, based on their reported inter...

Learning Factors Analysis (LFA), a form of student modeling, is used to predict whether a student can correctly answer a tutor question. Existing evaluations of LFA rely on metrics like the crossvalidated root mean squared error (RMSE). However, the LFA output can be a binary classification (the student will be correct or not), so we can use classification metrics, such as precision and recall,...