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A Proposed Pattern of Enterprise Risk Management in Insurance Companies

کلیدواژه: Enterprise risk Management,Own Risk and Solvency Assessment,Insurance,Corporate Governance and Solvency

نویسندگان: DEHGHANI ALI, SHAHRYAR BEHNAM

ناشر: پژوهشنامه بیمه - Iranian Journal of Insurance Research

The main purpose of this paper is to present an enterprise risk management for insurance companies in line with establishing Corporate Governance System with supervisory considerations. Therefore, we initially introduce theoretical aspects of international standards and frameworks of Enterprise Risk... ادامه

سال:2018

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Developing a Model for Ranking Mutual Funds in Iran Using the Systematic Risk Assessment Approach Based on LTD, SES, MES, and CoVaR Models

کلیدواژه: Systemic Risk,Conditional Value at Risk (Δ؛CoVaR),Systemic Expected Shortfall (SES),Marginal Expected Shortfall (MES),Low Sequence Dependence (LTD)

نویسندگان: Chavoshi Behnam, TEHRANI REZA, Abbassian Ezatollah

ناشر: تحقیقات مالی - Financial Research Journal

Objective The simplest thing that may make an amateur investor invest in a fund is simply to look at the fund’ s return that can be calculated very easily. Capital market experts have always tried to make investors aware of the threat of making judgments merely based on the fund's returns. Me... ادامه

سال:2021

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Modeling and Evaluation of Hybrid Covert Timing Channel on Internet Using Coloured Petri net

کلیدواژه: Covert Timing Channel,Inter-Packet Gap,Packet Reordering,Packet Loss,Modeling Coloured Petri Net

نویسندگان: DEHGHANI M., SALEH ESFAHANI M.

ناشر: علوم و فناوری های پدافند نوین - Advanced Defense Science and Technology

Covert timing channels are used to transmit information through computer networks in a seamless or secret way. Inter-packet gap and packet reordering are among techniques of encoding information in covert channels. Several reports on evaluating the capacity and the robustness of covert channels are ... ادامه

سال:2014

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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

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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

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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

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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

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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

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A Hybrid Model for Back-Break Prediction using XGBoost Machine learning and Metaheuristic Algorithms in Chadormalu Iron Mine

کلیدواژه: backbreak, extreme gradient boosting (XGB), Particle swarm optimization (PSO), gray wolf optimization (GWO), Chadormalu iron mine

نویسندگان: Nabavi Zohreh, Mirzehi Mohammad, Dehghani Hesam, Ashtari Pedram

ناشر: معدن و محیط زیست - JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)

Back-break is one of the adverse effects of blasting, which results in unstable mine walls, high duration, falling machinery, and inappropriate fragmentation. Thus, the economic benefits of the mine are reduced, and safety is severely affected. Back-break can be influenced by various parameters such... ادامه

سال:2023

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Investigating the Application of Hybrid Support Vector Machine Models in Predicting River Flow of Karkhe Basin

کلیدواژه: Bayesian Network,Support Vector Machine,Wavelet,Karkhe Basin

نویسندگان: DEHGHANI REZA, Torabi Poodeh Hasan, YOUNESI HOJJATOLLAH, Shahinejad Babak

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Introduction: River flow forecasting is one of the most important issues in water resources management and planning, especially in making the right decisions in the event of floods and droughts. Various approaches to hydrology have been introduced to predict river flow rates, among which, intelligen... ادامه

سال:2020

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