نتایج جستجو برای: efm classifier
تعداد نتایج: 44077 فیلتر نتایج به سال:
land degradation is a major danger which restricting different areas of iran. systematic description of the environmentfor detection of environmental changes and the human-related causes and responses is essential in land cover changestudy. use of land cover data allow detection of where certain changes occur, what type of change, as well as how theland is changing. existing systems for classif...
the article suggests an algorithm for regular classifier ensemble methodology. the proposed methodology is based on possibilistic aggregation to classify samples. the argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. the optimization aims at learning backgrounds as solid clusters in subspaces of the high-dim...
This article proposes a new approach to sales forecasting for products (stock-keeping units [SKUs]) with long lead time but short product life cycle. These SKUs are usually sold one season only, without any replenishments. An exponential factorization machine (EFM) forecast model is developed solve this problem which not only takes into account SKU attributes, also pairwise interactions. The EF...
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
مقدمه: سرطان اولیه کبد HCC)) پنجمین سرطان شایع در دنیا و سومین عامل مرگ و میر در جهان میباشد. علائم سرطان کبد پس از بروز به سرعت پیشرفت کرده و در صورت عدم تشخیص به موقع متأسفانه بقای عمر بیمار بسیار کم می گردد. یکی از مشکلات اصلی پیش روی متخصصین گوارش، پیش بینی و تشخیص زود هنگام سرطان کبد است. داده کاوی از روشهایی است که در این زمینه مورد استفاده واقع می گردد. هدف از انجام این مطالعه معرفی...
development of an autonomous weeding machine requires a vision system capable of detecting and locating the position of the crop. it is important for the vision system to be able to recognize the accurate position of the crop stem to be protected during weeding. several shape features of corn plants and common weed species in the location were extracted by means of morphological operations. eff...
Unreinforced masonry (URM) buildings are susceptible to extraordinary actions such as earthquakes compared steel or reinforced concrete buildings. Various methods have been developed for the computational analysis of URM in last few decades. The equivalent frame method (EFM) is one numerical modeling approaches widely used nonlinear analyses Different macroelements context EFM proposed. However...
Abstract Researchers and practitioners widely employ simplified Equivalent Frame Models (EFM) for reproducing the in-plane governed response of unreinforced brick masonry (URM) structures, as they typically represent an acceptable compromise between numerical accuracy computational cost. However, when considering URM structural systems with irregular opening distribution, definition effective h...
Quantification of Viral and Prokaryotic Production Rates in Benthic Ecosystems: A Methods Comparison
Viruses profoundly influence benthic marine ecosystems by infecting and subsequently killing their prokaryotic hosts, thereby impacting the cycling of carbon and nutrients. Previously conducted studies, based on different methodologies, have provided widely differing estimates of the relevance of viruses on benthic prokaryotes. There has been no attempt so far to compare these independent appro...
image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...
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