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Non– Intrusive Appliance Load Disaggregation in Smart Homes Using Hybrid Constrained Particle Swarm Optimization and Factorial Hidden Markov Model

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

سال:2019

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A Hybrid Approach to Develop a Structural Model of Factors Affecting Supply Chain Collaboration in Home Appliance Industry

کلیدواژه: Supply Chain Collaboration,Home Appliance Industry,Systematic Literature Review,Interpretive Structural Modeling,Fuzzy Cognitive Maps

نویسندگان: SHAHRYARI NIA ARASH, OLFAT LAYA, AMIRI MAGHSOUD, KAZAZI ABOLFAZL

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

Supply chain collaboration as a collective approach to compete against rivals, aims to improve performance of supply chain. In order to develop collaboration across supply chain it is vital to identify factors affecting collaboration and their interactions. to do so, we have proposed a hybrid method... ادامه

سال:2020

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Using Hybrid Model of Particle Swarm Optimization and Multi-Layer Perceptron Neural Networks for Classification of Diabete

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نویسندگان:

ناشر: International Journal of Intelligent Engineering and Systems - International Journal of Intelligent Engineering and Systems

... ادامه

سال:2021

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New Evidence from Oil Rent and Economic Growth in OPEC Countries: An Application of the Hybrid Model of Threshold Markov Switching Model

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

سال:2019

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A 3D Time-Variant Non-Stationary Hybrid Channel Model for Massive MIMO Systems

کلیدواژه: Channel modeling,doppler effect,clustering,massive MIMO,ray tracing,5G

نویسندگان: Tamaddondar Mohammad Mehdi, NOORI NARGES

ناشر: - International Journal of Information and Communication Technology Research

This paper presents a novel three-dimensional (3D) time-variant hybrid channel Model for massive multiple input multiple output (M-MIMO) wireless systems. The main aim of the proposed Model is to find channel characteristics in a simple and precise manner. To achieve this purpose, this channel Model... ادامه

سال:2019

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Concept Analysis of Non-Technical Skills in Cardiopulmonary resuscitation: Use of Hybrid Model

کلیدواژه: A concept analysis,Non-technical skills,Cardiopulmonary resuscitation,the hybrid model

نویسندگان: HEYDARI ABBAS, HOSSEINI MOHAMMAD

ناشر: مجله انجمن آنستزیولوژی و مراقبت های ویژه ایران - JOURNAL OF IRANIAN SOCIETY ANAESTHESIOLOGY AND INTENSIVE CARE

Background and Aim: Despite the emphasis on the teaching and training of Non-technical skills and teamwork based on CPR guideline (2015), the concept of Non-technical skills in CPR is not well-known and clear in social and cultural context of medical sciences in Iran. Materials and methods: Using th... ادامه

سال:2018

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Design of a Hybrid Data-Driven Classification Model for Optimal Selection of Non-Destructive Testing Methods in Weld Inspection

کلیدواژه: Non-destructive inspection, Weld Inspection, Machine Learning, Xgboost, Data-Driven Modeling

نویسندگان: Nazari Gharibdoosti Amirmahdi, Sarai Tabrizi Mahdi

ناشر: فناوری آزمون های غیرمخرب - Non-Destructive Testing Technology

Selecting the most suitable Non-Destructive Testing (NDT) method in industries such as energy, transportation, automotive, aerospace, and oil and gas significantly contributes to quality improvement, minimizing human errors, and reducing operational costs. In this study, a smart, data-driven classif... ادامه

سال:2024

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Prediction of Land Cover Changes in Horizon of 2028 through a Hybrid Model of Markov Chain and Cellular Automata; Catchment Area around Bazangan Lake Case Study

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

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An Integrated Hybrid Fuzzy Multiple-Criteria Decision-Making Model for Non-Performing Loans Collections in The Banking System (Case Study: Shahr Bank)

کلیدواژه: Bank.Non,performing loans.Fuzzy multiple,criteria decision,making

نویسندگان: RASHIDI MAJID, Fathi Hafshjani Kiamars, MODIRI MAHMOUD, Jafari Seyedeh Mahboubeh

ناشر: - Advances in Mathematical Finance and Applications

The increase in Non-performing loans considerably reduces profit in the banking systems. To solve these problems, factors influencing the collection of Non-performing loans have to be examined in a hopeful attempt to reduce them to an acceptable level. The present study is conducted to analyze and s... ادامه

سال:2023

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Akhuwat: Measuring Success for a Non-profit Organization

کلیدواژه: akhuwat ؛ Microfinance/fa?page=1&sort=1&ftyp=all&fgrp=all&flan=all&fyrs=all" target="_blank">Islamic Microfinance ؛ Microfinance ؛ Non-Profit Organisations

نویسندگان: Bashir, Mohsin ؛ Saleem, Ashar ؛ Ahmed, Ferhana

ناشر: Asian Journal of Management Cases

... ادامه

سال:2019

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