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Fatality Prediction in Road Accidents Using Neural Networks
The fatalities due to road traffic injuries have a great effect on society. The time of occurrence of road accidents can’t be predicted exactly but...
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Estimation of Willingness to Pay and Value of Statistical Life for Road Crash Fatality Reduction for Motorcyclists: A Case Study of Patna, India
India suffers from huge economic losses as a result of road accidents and unfortunately rank first in the world in terms of fatal road accidents,...
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On Predicting COVID-19 Fatality Ratio Based on Regression Using Machine Learning Model
The world has been in the grips of the Coronavirus Disease-19 (COVID-19) pandemic for almost two years since December 2019. Since then the virus has...
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The Association of Socio-demographic Characteristics Towards Driver Behaviour and Traffic Fatality in Selangor, Malaysia
There are more than 6,000 road traffic fatalities each year in Malaysia since 2004, although the index of road traffic fatality per 100,000...
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Smart Accident Fatality Reduction (SAFR) System
Injuries and deaths resulting from road accidents are a growing public health problem in India. Road crash deaths have increased by 31% from 2007 to...
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An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
A vehicular ad hoc network (VANET) is a wireless network that connects a group of moving or stationary vehicles together. VANETs were primarily used...
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Fatality Risk Assessment
The chapter discusses models for various elements of fatality risk; including occupational fatality risk, immediate fatality risk, risk during...
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Improved hepatocellular carcinoma fatality prognosis using ensemble learning approach
Hepatocellular Carcinoma (HCC) is the most common type of liver cancer which accounts for around 75% of all liver cancer cases. From statistical...
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Comparative Analysis of Aviation Occurrence Patterns among Three Northeast Asian Countries: South Korea, China and Japan
This study investigates the commonalities and differences in aviation occurrences among three Northeast Asian countries–South Korea, China and Japan,...
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Analysing Willingness to Pay and Attitude Towards Safety for Indian Motorcyclists
Vulnerable Road Users (VRUs), like Motorised two-wheelers (MTWs), are the most affected class of road users. Road safety project evaluation requires...
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Helicopter Transportation Fatality Risk Assessment
This presentation starts with a review of accidents and incidents in the UK and Norwegian sectors and presents earlier risk assessments. Risk...
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Effectiveness of Japanese Encephalitis Early Warning System Developed by North Eastern Space Application Center in Case Fatality Ratio Mitigation in Three Districts of Assam
Japanese Encephalitis (JE) is one of the major health concerns in Assam. The three districts of Assam, viz., Dibrugarh, Sivsagar, and Tinsukia are...
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Comparative Safety Assessment of Vehicle–Pedestrian Interactions at Urban Arterial and Highway Using UAV Data
According to the WHO Global Road Safety Report [10] and the MoRTH Accident Report [12], fatal road accidents involving pedestrians are...
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Targets for fuzzy enforcement scores; a way to set policies for helmet and seat-belt among countries
Failure to wear a helmet and seat belt is one of the most important risk factors for road traffic injuries. According to data from most countries in...
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Analysis of Traffic Accidents in Saudi Arabia: Safety Effectiveness Evaluation of SAHER Enforcement System
Traffic accidents have become a threatening socioeconomic concern worldwide. The global annual deaths and injuries toll from traffic accidents are...
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Accident propensity assessment of Boeing 737 Aircraft variants using the Gompertz distribution model
Aircraft is a socio-technical system with some unavoidable accidents due to its complexity. Although Boeing 737 Aircraft was the best-selling...
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Gender Impact Assessment of the COVID-19 Pandemic in Ukraine
Sex differences in the epidemic and demographic statistics of Ukraine are considered. Unlike the majority of countries in the world, there were more...
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Analysis and Prediction of COVID-19 Spread in Ernakulam District, Kerala
The world is witnessing a pandemic of SARS-CoV2 infection since the first quarter of the twenty-first century. Ever since the first case was reported...
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Prediction of Fatal Accidents in the Petrochemical Industry with Machine Learning
There is an urgent need for energy companies to understand why employees still suffer injuries/accidents. The full potential of historical incident...
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Exploring Driver Injury Severity Using Latent Class Ordered Probit Model: A Case Study of Turkey
There have been limited efforts to study the severity of traffic crashes in Turkey. This study is probably the first attempt to investigate the...