Nowadays, there is a significant increase in drunken-driving accidents from the past few
years. Drunk driving has emerged as a significant problem in recent times. With the help of …

The healthcare supply chain involves obtaining resources, managing supplies, and
delivering goods and services to patients across multiple teams, stakeholders, and …

The unmanned aerial vehicle (UAV) equipped with mobile-edge computing (MEC) can act
as an air base station to provide computing services for Artificial Intelligence of Things (AIoT) …

Abstract This Research Paper seeks to examine the possibilities of blockchain technology.
For use in the field of restaurant food tracking and safety. Public health risks and economic …

The problems related to unique personality identification are faced by various fields like
psychology, criminal justice, and forensics investigations when hiring employees and …

The proposed model is a Deep Learning (DL) based method employing Long Short-Term
Memory (LSTM) networks for forecasting stocks. The aim of this approach is forecasting …

Traffic accidents present significant risks to human life, leading to a high number of fatalities
and injuries. According to the World Health Organization's 2022 worldwide status report on …

Building an electronic voting system is a prime requirement of a government election system
to avoid the manipulation in the voting machines and make them more secure and efficient …

Driving under the influence of alcohol (DUIA) is closely associated with alcohol use disorder
(AUD) because of significant impacts of alcoholism on brain functions related to response …

Objective: This study is focused to safeguard the human life from road accidents with
imparting assistive technology. Also to meticulously estimate the accident location. Method …