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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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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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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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Supply Chain Sustainability Assessment using Hybrid Simulation-Optimization Modeling

کلیدواژه: sustainable supply chain management,agent-based modeling,simulation-optimization approach

نویسندگان: Farzaneh Rezaee Farzaneh Rezaee, Nazanin Pilevari Nazanin Pilevari, Reza Radfar Reza Radfar

ناشر: IRANIAN JOURNAL OF OPERATIONS RESEARCH - IRANIAN JOURNAL OF OPERATIONS RESEARCH

Abstract Objective: From economic, environmental and social perspectives, the sustainability of the supply chain can give a competitive advantage to organizations. By designing a Hybrid discrete event agent-based simulation model based on the simulation-optimization approach and meta-heuristic algor... ادامه

سال:2023

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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 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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Subway System Usage by Elderly: Application of a Hybrid Choice Model

کلیدواژه: Elderly mobility, subway system, Health importance, mental satisfaction, Hybrid choice model

نویسندگان: Edrisi Ali, Hayati Salout Mahsa, Ganjipour Houmaan, Barzegari Vahed

ناشر: JOURNAL OF NUMERICAL METHODS IN CIVIL ENGINEERING - JOURNAL OF NUMERICAL METHODS IN CIVIL ENGINEERING

Worldwide. In the context of increasing aging in the cities, elderlies with different characteristics such as sociodemographic, mental, and physical problems may face many barriers to their mobility. We need new mathematical models to understand and predict how different factors affect the subway sy... ادامه

سال:2023

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A Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds

کلیدواژه: Cardiac abnormalities,Heart rate processing,Fuzzy systems,Hummingbird algorithm

نویسندگان: Aghaei Nezhad Ehsan, Taimourei Yansary Ramazan, RIAHI ALI

ناشر: انفورماتیک سلامت و زیست پزشکی - Journal of Health and Biomedical Informatics

Introduction: Different factors are effective in detecting heart abnormalities. The greater the number of these factors, the greater the uncertainty in the detection of heart abnormalities. In the uncertainty condition in response of prediction model, the fuzzy systems are one of the most effective ... ادامه

سال:2019

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COVID-19 Prediction Classifier Model Using Hybrid Algorithms in Data Mining

کلیدواژه: Accuracy,Covid-19,Classifier model,Data mining,Hybrid data mining

نویسندگان: Nikooghadam Morteza, Ghazikhani Adel, SAEEDI MOHAMMAD

ناشر: - Journal of Pediatric Perspectives - Journal of Pediatric Perspectives

Increase of stored data in medical databases needs allocative tools to get access to data, data mining, discover knowledge and efficient use of data. Medical and treatment fields are two examples of data mining tools to analyze massive data and predictive modelling. In medical sciences, prediction a... ادامه

سال:2021

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