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A Review of the Studies on Driver Drowsiness Detection sensors and Proposing Hybrid Diagnostic Methods and Efficient Model Design

کلیدواژه: Drowsiness, Consciousness, Traffic Accident, Automobile Driving, Detection sensors

نویسندگان: , , , , ,

ناشر: بهداشت و ایمنی کار - Journal of Health and Safety at Work

Introduction: In recent years, driver’s Drowsiness has been one of the leading causes of road Accidents, which can lead to physical injuries, death, and significant economic losses. Statistics show that an efficient system is needed to detect the driver’s Drowsiness, that gives the necessary warning... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

6 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Accurate Detection of Breast Cancer Metastasis Using a Hybrid Model of Artificial Intelligence Algorithm

کلیدواژه: Breast cancer,Metastasis,Machine learning,Specificity selection,Classification algorithms,Hybrid algorithm

نویسندگان: Abdollahi Jafar, Keshandehghan Atlas, Gardaneh Mahsa, PANAHI YASIN, GARDANEH MOSSA

ناشر: - Archives of Breast Cancer - Archives of Breast Cancer

Background: Breast cancer (BC) is a prevalent disease and a major cause of mortality among women worldwide. A substantial number of BC patients experience metastasis which in turn leads to treatment failure and death. The survival rate has been significantly increased due to more rapid Detection and... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

6 بازدید

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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

The Presentation of a Hybrid Anomaly Detection Model Using Inverse Weight Clustering and Machine Learning in Cloud Environments

کلیدواژه: IDS,Cloud Computing,Fog Computing,Anomaly Detection,IoT

نویسندگان: Jafar Gholi Beik A., Shiri Ahmad Abadi M. E., Rezakhani A.

ناشر: پدافند الکترونیکی و سایبری - JOURNAL OF ELECTRONIC AND CYBER DEFENCE

Today, due to highly advanced attacks and intrusions, it has become very difficult to detect IoT attacks in cloud environments. Other problems with cloud systems include low error Detection accuracy, false positive rates, and long computation times. In the proposed method, we present a hybrid intrus... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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ALightweight Anomaly Detection Model usingSVMfor WSNs in IoT through a Hybrid Feature Selection Algorithm based on GAand GWO

کلیدواژه: Wrapper Feature Selection,Metaheuristic Algorithms,Grey Wolf Optimizer (GWO),Genetic Algorithm (GA),Wireless Networks,Internet of Things (IoT),Anomaly Detection,Support Vector Machine (SVM)

نویسندگان: Davahli azam, Shamsi Mahboubeh, Abaei Golnoush

ناشر: JOURNAL OF COMPUTING AND SECURITY - JOURNAL OF COMPUTING AND SECURITY

As a result of an incredibly fast growth of the number and diversity of smart devices connectable to the internet, commonly through open wireless sensor networks (WSNs) in internet of things (IoT), the access of attackers to the network tra c in the form of intercepting, eavesdropping and rebro... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

14 بازدید

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Hybrid Fuzzy Models and Experimental-based Collective Intelligence Algorithms for Detection of Breast Tumors through Mammography Image Analysis

کلیدواژه: Fuzzy Inference System,Breast Tumors,Benign,Malignant,Soft Computing,Evolutionary Hybrid Algorithms

نویسندگان: Khodadadi Elnaz, HOSSEINI RAHIL, MAZINANI MAHDI

ناشر: هوش محاسباتی در مهندسی برق (سیستم های هوشمند در مهندسی برق) - COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)

In this study, a hybrid fuzzy intelligent method for diagnosing and managing uncertainty in input features to identify breast tumors in mammography images has been proposed. Moreover, a hybrid fuzzy evolutionary model has been applied to increase the system efficiency and optimize results. Soft comp... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

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An Intelligent Hybrid Segmentation Model Based on Fuzzy Logic, Discrete Wavelet Transform In Digital Imaging for Detection of Gastric Cancer

کلیدواژه: Fuzzy logic,Discrete Wavelet Transformation,Voting Mechanism,Stomach Cancer,SVM Algorithm

نویسندگان: Teimouri Paniz, MAZINANI MAHDI, HOSSEINI RAHIL

ناشر: مدل سازی در مهندسی - Modeling in Engineering

Gastric cancer is the first rank of cancer in Iran. If the disease is detected in early stages, treatment is probability to be furthered and treatment costs will be reduced. Due to the complexity of pathologic images and the fundamental challenges in these images, such as the poor contrast between t... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

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13 بازدید

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