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کلیدواژه: Arabic Handwritten Recognition,Deep Neural Networks,Hidden Markov Model,Kaldi Toolkit
نویسندگان: BABAALI BAGHER, Rekabdar Babak
ناشر: پردازش علایم و داده ها - SIGNAL AND DATA PROCESSING
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and le... ادامه
سال:2021
مشاهده/دانلود
کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord
نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.
ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science
Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial Neural networks, Neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه
سال:2019
کلیدواژه: Non–,Intrusive Appliance Load Disaggregation,Smart Home,Swarm Particle Optimization,Factorial Hidden Markov Model
نویسندگان: DEJAMKHOOY ABDOLMAJID, AHMADPOUR ALI, POURJAFAR SAEED
ناشر: JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY - JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY
Nowadays, the prediction of the load performances in the smart systems is necessary to generate the minimum energy. In a smart home, there are various appliances that each of them has different behavior. These differences defined as appliance states. In this paper, an effective hybrid method is prop... ادامه
کلیدواژه: Oil Rent,Economic Growth,OPEC Countries,The Hybrid Threshold Markov Switching Model
نویسندگان: Sedaghat Kalmarzi Haniyeh, FATTAHI SHAHRAM, SOHAILI KIOMARS
ناشر: مدلسازی اقتصادسنجی - JOURNAL OF ECONOMIC MODELING
The relationship between oil and economic growth is one of the most important issues in the oil-exporting countries that the nature of the relationship is important for the economic policymakers of these countries. The purpose of this study was to examine the effects of oil rent on economic growth i... ادامه
کلیدواژه: Flow Discharge,Support Vector Machine,Wavelet Neural Network,Forecasting
نویسندگان: Younesi Hojatolah, GODARZI AHMAD
ناشر: ENVIRONMENTAL RESOURCES RESEARCH - ENVIRONMENTAL RESOURCES RESEARCH
River flow forecasting is of immense importance for reliable planning, designing, and management of water resources projects. This study investigated the performance of wavelet Neural network, support vector machine, artificial Neural network, and Multiple Models Driven by Artificial Neural Networks... ادامه
کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model
نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.
ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)
Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه
کلیدواژه: Multi-layer perceptron neural network, Cosmology algorithms, Beneish model, Corporate governance system
نویسندگان: Maleki Nia Nahid, Tehrani Reza, Tabriz Akbar Akbar, Fallah Shams Mirfeiz
ناشر: اقتصاد پولی، مالی - Monetary and Financial Economics
Extended abstract1- INTRODUCTIONAccurately predicting earning manipulation in order to detect and identify manipulation of financial statements has always been one of the most fundamental challenges ahead of financial reports users. Because of increasing financial reporting fraud, this fact resulted... ادامه
کلیدواژه: Prediction of Changes,Markov Chain Model,Cellular Automata,Bazangan Lake,Remote Sensing
نویسندگان: ALIKHAH ASL M., REZVANI F.
ناشر: تحقیقات جغرافیایی - GEOGRAPHICAL RESEARCH
Introduction and Background Detection and prediction of changes are necessary for maintenance of an ecosystem particularly in rapidly-changing and often unplanned regions in developing countries. Aims This study predicts the land use changes in catchment area around Bazangan Lake for the year of 202... ادامه
سال:2018
کلیدواژه: Particle Swarm Optimization,Imperialist Competitive Algorithm,Artificial neural network,Earnings Management
نویسندگان: GHADERI EGHBAL, AMINI PEYMAN,
ناشر: پژوهش های تجربی حسابداری - Journal of Empirical Research in Accounting
Metaheuristic approaches are inspired mainly based on the order and rules of natural organisms. Today, these approaches have been widely used in various branches. According to the importance of forecasting, understanding the methods of earnings management forecast can provide useful information for ... ادامه
سال:2020
کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City
نویسندگان: Goli Ejlali R.
ناشر: آب و فاضلاب - Water and Wastewater
The prediction of water consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه
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