نتایج جستجو برای: processing methods using statistical regression techniques 1

تعداد نتایج: 6976954  

Journal: :international journal of agricultural science, research and technology in extension and education systems 0
daniel ekpa department of agricultural economics and extension, federal university dutsin-ma, katsina state, nigeria segun adeola department of agricultural economics and extension, federal university dutsin-ma, katsina state, nigeria umar mukhtar department of agricultural economics and extension, federal university, dutse, jigawa state, nigeria mary ekpa department of agricultural economics and extension, federal university dutsin-ma, katsina state, nigeria

the study is an analysis of processing methods, marketing channels, and profitability determinants of selected cassava products in kogi state, nigeria. the study was carried out in kogi east senatorial district of the state. a multi-stage sampling technique was employed in the selection of 120 respondents from whom information were collected and analyzed. the data used for the study were collec...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده علوم اجتماعی و اقتصادی 1389

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

Journal: :International Journal of Computer Applications 2011

Geo-statistical methods for reserve estimation are difficult to use when stationary conditions are not satisfied. Artificial Neural Networks (ANNs) provide an alternative to geo-statistical techniques while considerably reducing the processing time required for development and application. In this paper the ANNs was applied to the Choghart iron ore deposit in Yazd province of Iran. Initially, a...

Mehdi Tajdari Saeed Zare Chavoshi

In the present study, five modeling approaches of RA, MLP, MNN, GFF, and CANFIS were applied so as to estimate the radial overcut values in electrochemical drilling process. For these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, and tool feed rate, were selected. The developed models were evaluated in terms of their prediction capability with m...

Permeability can be directly measured using cores taken from the reservoir in the laboratory. Due to high cost associated with coring, cores are available in a limited number of wells in a field. Many empirical models, statistical methods, and intelligent techniques were suggested to predict permeability in un-cored wells from easy-to-obtain and frequent data such as wireline logs. The main obj...

2018
St'ephane Lathuiliere Pablo Mesejo Xavier Alameda-Pineda Radu Horaud

Deep learning revolutionized data science, and recently, its popularity has grown exponentially, as did the amount of papers employing deep networks. Vision tasks such as human pose estimation did not escape this methodological change. The large number of deep architectures lead to a plethora of methods that are evaluated under different experimental protocols. Moreover, small changes in the ar...

Journal: :journal of crop protection 2015
jagadeesh devidas pujari rajesh siddarammayya yakkundimath shamrao jahagirdar abdul byadgi

rust caused by phakopsora pachyrhizi syd. is a major constraint to soybean product in asia. early detection and possibilities of controlling plant diseases by the integration of several image processing methods has been the subject of extensive research. the main contribution of this paper is to present different methodologies for quantitatively detecting soybean rust at each stage of disease d...

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