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Multilayer Modeling Framework for Hybrid Warfare Game

کلیدواژه: hybrid warfare, Modeling framework, War game, Agent-based

نویسندگان: Khorrami Yaser

ناشر: پدافند غیر عامل

Hybrid warfare has been one of the topics of interest in recent years. This warfare has been given special importance due to the involvement of different economic, political, social, military and similar layers and its analysis has been complicated. Therefore, in addition to the need to upgrade ... ادامه

سال:2024

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Modeling of the Diesel Hybrid Propulsion System for Vessels

کلیدواژه: Diesel Engine,Hybrid Vessel,Simulation

نویسندگان: JALILI IRAJ, Zarenejad Ashkezari Abbas

ناشر: مهندسی دریا - JOURNAL OF MARINE ENGINEERING

The energy management of ships to improve the efficiency of ships and reduce greenhouse gas emissions is among the most important issues that have been considered as a milestone in designing and constructing of vessels in recent years. The study of energy trends and attention to technological change... ادامه

سال:2019

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Watershed Change Detection Using Hybrid Conceptual Model-Artificial Intelligence

کلیدواژه: Watershed Land Use Change,Conceptual Rainfall-Runoff Model,Storage Coefficients,Artificial Intelligence,Wavelet-Entropy

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Sharghi Elnaz

ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING

This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity via an inverse method for the Little River Watershed, USA. In this research, the artificial intelligence and soft computing capabilities such as wavelet-entropy were employed for t... ادامه

سال:2019

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Automatic Grayscale Image Colorization using a Deep Hybrid Model

کلیدواژه: Deep Learning,Convolutional Neural Network (CNN),Image Colorization,Encoder-decoder,Inception-v2,Computer Vision

نویسندگان: Kiani Kourosh, Hemmatpour Razieh, Rastgoo Razieh

ناشر: هوش مصنوعی و داده کاوی - JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING

Image colorization is an interesting yet challenging task due to the descriptive nature of obtaining a natural-looking color image from any grayscale image. To have a fully automatic image colorization procedure, we propose a convolutional neural network (CNN)-based model to benefit from the impress... ادامه

سال:2021

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Hybrid Learning Machine Metaheuristic Model for Estimating Groundwater Level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Groundwater is the most reliable source of supply for potable water and supports a wide array of economic and environmental services. There is a significant concern that groundwater levels are declining due to intense aquifer use. The sustainable management of groundwater resources requires good pla... ادامه

سال:2021

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Hybrid Model of Forecasting Domestic Tourism Demand of Tehran City

کلیدواژه: Regression,Adaptive Neuro-Fuzzy Inference System (ANFIS),Support Vector Regression (SVR) Algorithm,Medical tourism,Forecasting of Domestic Tourism Demand

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: گردشگری و توسعه - TOURISM AND DEVELOPMENT

In recent years, with the changing pattern of holidays and the formation of short-term holidays, cities have found the opportunity for tourism development. Four types of the most important types of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views... ادامه

سال:2019

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ANSYS Modeling for Bone Reconstruction by Using Hybrid Nano Bio Composite

کلیدواژه: Femur bone ANSYS modeling,Nano HDPE /ceramic Biocomposites, Titanium Oxide,Yttria stabilized zirconia (Y-PSZ),Bone biomechanics

نویسندگان: Sattar Kashan J., Mahmood Ali S.

ناشر: - Journal of Solid Mechanics

In the present work, an attempt has been made to study and improve the physical and biomechanical properties of adding Titanium dioxide (TiO2) and yttria stabilized zirconia (Y-PSZ) Nano fillers ceramic particles for reinforced the high density polyethylene (HDPE) matrix Nanocomposites for fabricate... ادامه

سال:2020

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Designing a Hybrid Model of Factors Affecting Accounting Development in Iran

کلیدواژه: Accounting Development,Analysis,Cross-Compounding

نویسندگان: Goleyjani Mehrdad, ALIKHANI RAZIEH, MARANJORY MEHDI, Fallah Reza

ناشر: پژوهش های حسابداری مالی و حسابرسی - The Financial Accounting and Auditing Researches

The purpose of this research is to identify the factors influencing the development of accounting by the combination of meta-analysis techniques. In the present study, by applying a systematic and qualitative cross-over approach, we analyze the results and findings of previous researchers and by con... ادامه

سال:2021

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Adjustment to a New Heart: Concept Analysis Using a Hybrid Model

کلیدواژه: Adjustment,concept formation,heart transplantation,Iran

نویسندگان: ASGARI PARVANEH, Jackson Alun C., BAHRAMNEZHAD FATEMEH

ناشر: - Iranian Journal of Nursing and Midwifery Research - Iranian Journal of Nursing and Midwifery Research

Background: Although the phenomenon of adjustment to a new heart in transplant recipients is very complex, very few studies have been conducted on this important issue. Therefore, no careful and clear definition exists for this concept. Materials and Methods: This concept analysis was conducted in I... ادامه

سال:2021

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A New Transformer-Based Hybrid Model for Forecasting Crude Oil Returns

کلیدواژه: Deep learning,Transformer,Forecasting,Brent oil returns,Hybrid Model

نویسندگان: Abdollah Pour Mohammad Mahdi, Hajizadeh Ehsan, Farineya Parsa

ناشر: - AUT Journal of Modeling and Simulation

In recent years, crude oil has been one of the most important energy sources in the world which impacts political stability and economic security in many countries. Furthermore, Crude oil price also has a huge influence on the world economic pattern due to being directly utilized in different indust... ادامه

سال:2022

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