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Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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Designing Comprehensive Model of Corporate Governance with open innovation approach in the insurance Industry

کلیدواژه: Open Innovation,Corporate Governance,Insurance Industry

نویسندگان: ZIYAE BABAK, Kafaee Farzad

ناشر: مدیریت نوآوری در سازمان های دفاعی - INNOVATION MANAGEMENT IN DEFENSE ORGANIZATIONS

Context/Purpose: Today, corporate governance is known as an ability to obtain financial and management health. In this regard, the Open Innovation provides useful and efficient ways to achieve strong corporate governance. Given the lack of research on open innovation to deal with the ultimate goals ... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Prediction of Stream Flow Using Intelligent Hybrid Models in Monthly Scale (Case study: Zarrin roud River)

کلیدواژه: Hybrid Algorithms,Particle Swarm,Entropy,Discharge,Simulated Annealing

نویسندگان: Mohammadi Babak, MOAZENZADEH ROOZBEH

ناشر: علوم و تکنولوژی محیط زیست - Journal of Environmental Science and Technology

Background and Objective: Selecting appropriate inputs for intelligent models are important because it reduces the cost and saves time and increases accuracy and efficiency of its models. The aim of the present study is the use of Shannon entropy to select the optimum combination of input variables ... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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Modeling Groundwater Level in Delfan Plain, Lorestan Province, Using Hybrid Metaheuristic Models

کلیدواژه: Groundwater Level, Artificial neural network, Metaheuristic optimization, Delfan plain

نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Groundwater is often a crucial source of freshwater worldwide, particularly in arid and semi-arid regions. In these areas, groundwater resources are vital due to variable rainfall and high evaporation rates. Groundwater use is increasing in arid and semi-arid regions due to population growth, rapid ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

13 بازدید

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Assessment of Groundwater Hardness in Khorramabad Plain Using Hybrid Models Based on Metaheuristic Algorithms

کلیدواژه: Groundwater, Khorramabad, Support Vector Regression, Metaheuristics

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Introduction: Over the past century, water scarcity has become a significant global issue due to climate change, population growth, urbanization, and agriculture. In response to this problem, groundwater resources have been used extensively for various purposes, including agriculture, industry, and ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

17 بازدید

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Evaluation of Hybrid Metaheuristic Models in Estimating Electrical Conductivity (Case Study: Kakarza River, Lorestan Province)

کلیدواژه: Kakarza River, water quality, Electrical conductivity, Wavelet

نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza

ناشر: پژوهش های خشکسالی و تغییر اقلیم - Journal of Drought and Climate Change Research

Electrical conductivity (EC) is an important indicator for monitoring water quality in rivers. Electrical conductivity is inherently related to the concentration of dissolved ionic compounds present in aquatic environments, including various salts and minerals. Estimating electrical conductivity is ... ادامه

سال:3

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

3 بازدید

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Investigation of Dissolved Oxygen Levels in the Karun River Water Using Hybrid Models Based on Support Vector Regression

کلیدواژه: Dissolved Oxygen, Support vector regression, Karun, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Oxygen plays a vital role in maintaining the balance of life cycles in all ecosystems. Aquatic life is highly sensitive to dissolved oxygen (DO) levels. This necessitates not only continuous monitoring of DO in aquatic environments but also the development of accurate predictive models for future DO... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

12 بازدید

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The Potential of the Hybrid Support Vector Regression Model for Predicting River Sediment Discharge (Case Study: Keshkan-Lorestan River)

کلیدواژه: Kashkan, Support vector regression, suspended sediments, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Providing a robust and reliable predictive model for river sediment discharge is an essential task for several environmental and geomorphological perspectives, including water quality, riverbed engineering sustainability, and aquatic habitats. In this research, a new hybrid intelligent approach base... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

8 بازدید

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The Impact of Effective Corporate Governance on the Relation-ship between Tax Gap and Future Profit Changes in Iranian Economy

کلیدواژه: Tax,Tax Gap,Corporate Governance Effectiveness,Future Earnings Changes

نویسندگان: Karami Rasoul, VAEZ SEYED ALI, REKABDAR GHASEM

ناشر: - Advances in Mathematical Finance and Applications

The Iranian economy in recent years is due to the development of eco-nomic sanctions, a sharp decline in the price of oil and the deficit result-ing from revenue-dependent on oil revenues and the trend towards tax revenues. While comparing the volume of the Iranian economy with the amount of tax inc... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

6 دانلود

17 بازدید

مشاهده/دانلود

The Impact of Effective Corporate Governance on the Relationship between Tax Gap and Future Profit Changes in Iranian Economy

کلیدواژه: Tax,Tax Gap, Corporate Governance Effectiveness, Future Earnings Changes

نویسندگان: Karami Rasoul, VAEZ SEYED ALI, REKABDAR GHASEM

ناشر: - Advances in Mathematical Finance and Applications

The Iranian economy in recent years is due to the development of economic sanctions, a sharp decline in the price of oil, and the deficit resulting from revenue-dependent on oil revenues and the trend towards tax revenues. While comparing the volume of the Iranian economy with the amount of tax inco... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

14 بازدید

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