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Optimization of HyperParameters in Hybrid Deep Learning Models for Sleep Apnea Detection Using Swarm Intelligence Algorithms

کلیدواژه: Sleep Apnea, HoneyBadger Optimizer, GreyWolf Optimizer, Convolutional neural network, Deep Recurrent Neural Network

نویسندگان: Fotouhi-Ghazvini Faranak, Badiee Maryam

ناشر: پژوهش های نظری و کاربردی هوش ماشینی - Journal of Applied and Basic Machine Intelligence Research

This study investigates the efficiency of CNN-DRNN hybrid classifiers in detecting sleep apnea using electrocardiogram (ECG) signals. Various CNN models were evaluated, including AlexNet, VGG16, VGG19, and ZFNet, along with DRNN models such as LSTM, GRU, and BiLSTM. These models were compared with a... ادامه

سال:2025

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

16 بازدید

مشاهده/دانلود

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

کلیدواژه:

نویسندگان:

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

... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

18 بازدید

مشاهده/دانلود

The Application of Metaheuristic Optimization Algorithms of Gravitational Search, Particle Swarm, and their Hybrid in Fracture Network Modeling

کلیدواژه: Fractured Network Modeling,Multivariate Optimization Algorithms Particle Swarm Optimization,Gravitational Search Algorithm

نویسندگان: SHAKIBA Sima, DOULATI ARDEJANI FARAMARZ

ناشر: پژوهش نفت - PETROLEUM RESEARCH

Fractured network modeling is the main prerequisite for fluid flow simulation in many applications such as groundwater resource management, oil and gas reservoir simulation, geothermal energy resource modeling and etc. The aim of this study is to develop an iterative object-based algorithm for fract... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

15 بازدید

مشاهده/دانلود

Ethical Banking Education Optimization Model

کلیدواژه: Ethics,Education optimization,Ethical banking

نویسندگان: Golshanpour Ataghverdi mansour, REZVANI CHAMANZAMIN MOUSA, HAZRATI MORTEZA

ناشر: اخلاق در علوم و فناوری - Ethics in Science and Technology

Background: Ethical banking is a set of banking activities with full respect for human rights, commitment to healthy competition and responsibility and accountability for behaviors. The purpose of this research is to provide a model for optimizing ethical banking training in Iran's Workers' Welfare ... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

Assessing the Stability of the Hybrid PSO-GA Algorithm in Magnetic Model Parameter Estimation Compared to Two Separate Approaches

کلیدواژه: Parameter estimation,Particle Swarm Optimization Algorithm,Genetic algorithm,White Gaussian noise,Airborne magnetics

نویسندگان: Sohouli Abdol Nabi, Molhem Hossein, Zare Dehnavi Naser

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In this study, the stability of the combined PSO-GA algorithm in estimating magnetic model Parameters is evaluated and compared with two other algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The PSO algorithm is employed to enhance the action vector, while the GA algorithm ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

6 دانلود

13 بازدید

مشاهده/دانلود

A New Hybrid Method to Increase the Prediction in Data Reduced Using Rough Set and Swarm Intelligence Model

کلیدواژه: Rough Set Theory,Swarm Intelligence,Ant Colony Optimization,Feature Reduction

نویسندگان: Mirzaee Elahe, ESMAEILPOUR MANSOUR

ناشر: پردازش علایم و داده ها - SIGNAL AND DATA PROCESSING

Designing a system with an emphasis on minimal human intervention helps users to explore information quickly. Adverting to methods of analyzing large data is compulsory as well. Hence، utilizing power of the data mining process to identify patterns and models become more essential from aspect of rel... ادامه

سال:2017

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

18 بازدید

مشاهده/دانلود

Modeling and Optimization of Hybrid Energy Systems Using Techno-economic and Environmental Characteristics

کلیدواژه: Renewable Energy Hybrid Energy System Multi, objective Optimization Multi, criteria Decision Analysis Sustainable Development

نویسندگان: Abdollahi Seyyed Amirreza, Ahrari Mahmoud, Ghazizadeh Ahsaee Mahdi

ناشر: کارافن - Karafan

The development of energy technologies with high efficiency, reliability and free from environmental contaminants is of great importance for sustainable development. The main goal of this research was the multi-objective techno-economic-environmental Optimization of hybrid renewable energy systems p... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

8 بازدید

مشاهده/دانلود

A Hybrid Robust Optimization Model for Day-Ahead Management of Active Distribution Networks

کلیدواژه: Robust optimization,Info-gap decision theory,Day-ahead market,Real-time market,Two-level optimization

نویسندگان: Aboli Reza, RAMEZANI MARYAM, FALAGHI HAMID

ناشر: مهندسی برق دانشگاه تبریز - Tabriz Journal of Electrical Engineering

In this paper, a hybrid day-ahead robust Optimization model is presented for the optimal operation of active distribution networks subject to real-time operation. Maintaining the convex structure of the problem with load flow equations is the most important goal in how to robust modeling of uncertai... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Multi-Objective Portfolio Optimization Model with Fuzzy-Robust Hybrid Approach (As a case:Tehran Stock Exchange)

کلیدواژه: portfolio, Multi-Objective optimization, Zimmermann fuzzy approach, Minimax regret, robustness

نویسندگان: Jaberi Mahsa, Mohammadi Emran, Azizi Amir

ناشر: بورس اوراق بهادار - JOURNAL OF SECURITIES EXCHANGE

The novel theory of the portfolio Optimization has developed based on the fundamental Markowitz model. The Markowitz model is unique in terms of theory, but its weaknesses prevent the use of this model in practice. In this model, the return rate is extracted based on past data, but in this research,... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

9 بازدید

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