Search results for " Classification"
showing 10 items of 1043 documents
SOME EXAMPLES RELATED TO A CLASS OF FUNCTIONALS WITHOUT GLOBAL MINIMA
2012
Abstract: In this paper, we provide six examples which show the sharpness of the assumptions of a recent deep result of Ricceri about a class of functionals without global minima.
Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…
2019
Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…
Image classification based on 2D feature motifs
2013
The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…
INSTITUTIONAL PROBLEMS OF PIG CARCASS CLASSIFICATION SECTOR IN ROMANIA
2015
The paper deals with the institutional problems faced by animal carcass classifying operators while implementing the SEUROP classification system in Romania. The research was performed in March 2015 by means of in-depth interviews with different economical operators in the pig-carcass classification sector. The main findings that need solutions in the next future are the following: still poor understanding of the benefits of the carcass classification activity by some direct beneficiaries, the need for a consolidation in current regulation, the need for a methodological framework for the uniform application of the law and a few external factors that can not be controlled by carcasses classi…
PIG CARCASS CLASSIFICATION IN ROMANIA: A DISSECTION TRIAL FOR THE APPROVAL OF THE “FAT-O-MEAT’ER” AND OF THE “OPTIGRADE-PRO”EQUIPMENT
2014
The objective of this study was to obtain new regression formulas for optical equipment Fat-O-Meat’er and OptiGrade-PRO in pig carcass classification in Romania. The estimation of lean mean content in pig carcasses by means of SEUROP system and following fair payment based on the weight and composition of the carcass pigs in the main objective of classification. Dissection of four main cuts (shoulder, loin, ham, belly) of pig carcasses (n = 145) were performed. The measurement of backfat and muscle depths using probes were taken from the carcasses within 45 min. after slaughter of pigs. Lean meat content estimated using different methods and determined from dissections was equal (56,3 % ). …
Technical English for agriculture
2021
As the world goes global, the agricultural business needs to move across frontiers and oceans. Food, raw and processed, is regularly transported across continents. As space is no longer a limit for food trade and human nutrition, language cannot represent a barrier to this continuous exchange. In the last 60 years, English has been taking a foothold as the primary language for world trade and the exchange of agricultural goods is no exception. Agricultural sciences embrace a large number of disciplines, from botany to environmental physiology, from soil science to meteorology, from plant propagation to cultural management, from soil management to pest control, from field crops to animal husb…
The comparison of quality of life assessment, and severity of clinical symptoms in patients with chronic venous insufficiency. Can one universal ques…
2003
Wstęp. Celem pracy była ocena kwestionariusza jakości życia chorych z przewlekłą niewydolnością żylną (CVI), którego podstawą były opinie i preferencje chorych, jak również zbadanie czy sposób oceny jakości życia tych chorych powinien być uniwersalny, czy też powinien zależeć od stopnia zaawansowania choroby. Materiał i metody. Materiał i metody. Materiał i metody. Jakość życia oceniono u 80 chorych ze stopniem klinicznym C-2, -3, -4 i -6 według klasyfikacji CEAP za pomocą kwestionariusza uwzględniającego: dolegliwości fizyczne, ograniczenie aktywności życiowej i problemy psychologiczne związane z chorobą. Chorych proszono, aby oceniali nasilenie każdego z problemów oraz i jego subiektywne …
Catalogue of the Diptera (Insecta) of Morocco— an annotated checklist, with distributions and a bibliography
2022
The faunistic knowledge of the Diptera of Morocco recorded from 1787 to 2021 is summarized and updated in this first catalogue of Moroccan Diptera species. A total of 3057 species, classified into 948 genera and 93 families (21 Nematocera and 72 Brachycera), are listed. Taxa (superfamily, family, genus and species) have been updated according to current interpretations, based on reviews in the literature, the expertise of authors and contributors, and recently conducted fieldwork. Data to compile this catalogue were primarily gathered from the literature. In total, 1225 references were consulted and some information was also obtained from online databases. Each family was reviewed and the c…
Kernel Feature Extraction Methods for Remote Sensing Data Analysis
2014
Technological advances in the last decades have improved our capabilities of collecting and storing high data volumes. However, this makes that in some fields, such as remote sensing several problems are generated in the data processing due to the peculiar characteristics of their data. High data volume, high dimensionality, heterogeneity and their nonlinearity, make that the analysis and extraction of relevant information from these images could be a bottleneck for many real applications. The research applying image processing and machine learning techniques along with feature extraction, allows the reduction of the data dimensionality while keeps the maximum information. Therefore, develo…
Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation
2014
Current signal monitoring (CSM) can be used as an effective tool for diagnosing broken rotor bars fault in induction motors. In this paper, fault diagnosis and classification based on artificial neural networks (ANNs) is done in two stages. In the first stage, a filter is designed to remove irrelevant fault components (such as noise) of current signals. The coefficients of the filter are obtained by least square (LS) algorithm. Then by extracting suitable time domain features from filter's output, a neural network is trained for fault classification. The output vector of this network is represented in one of four categories that includes healthy mode, a 5 mm crack on a bar, one broken bar, …