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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

96 بازدید

مشاهده/دانلود

Evaluation of A Hybrid CNN-TCN-LSTM Model for Traffic Flow Prediction

کلیدواژه: Traffic Speed Prediction, Machine learning, Inductive Loop Detector, Combined Model Convolutional Neural Network

نویسندگان: Hosseinali Farhad, Shirmohammadi Zahra, Ahangar Kiasari Mohammad, Yousefi Abolfazl, Farmani Mojtaba

ناشر: EARTH OBSERVATION AND GEOMATICS ENGINEERING - EARTH OBSERVATION AND GEOMATICS ENGINEERING

Accurate prediction of road Traffic speed has a crucial impact in estimating Traffic condition and plays a role in optimizing transportation and Traffic system’s function. However, the nonlinear nature of Traffic systems and the complexity of uncertainty introduce challenges for speed variables. The... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

7 دانلود

20 بازدید

مشاهده/دانلود

Modelling of Highway Traffic Using a Triangular Fundamental Diagram with Hybrid Petri Net Continue

کلیدواژه: Macroscopic model,Highway traffic,Triangular Fundamental Diagram,Hybrid Petri Net Continue,Simulation analysis

نویسندگان: Luthfiyah H., Yunata A.S., Harjono M.S., Halim A.

ناشر: - International Journal of Engineering

This paper focuses on creating a macroscopic Traffic flow model that describes crucial Traffic dynamics: density, Traffic flow, and average speed. Changes in Traffic flow dynamics are captured through a simplified macroscopic Traffic flow model with a triangular shape, which allows the system to res... ادامه

سال:2025

لینک به محتوا با زبان هدف

نوع سند: Article

7 دانلود

26 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

102 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

100 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

84 دانلود

104 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

26 دانلود

65 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

118 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

81 دانلود

122 بازدید

مشاهده/دانلود

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

124 بازدید

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