Obstacle avoidance path planning in a dynamic circumstance is one of the fundamental problems of autonomous vehicles, counting optional maneuvers: emergency braking and active steering.This paper proposes emergency obstacle avoidance planning based on deep reinforcement learning (DRL), considering safety and comfort.Firstly, the vehicle emergency b
Abstract Background Exclusive breastfeeding is widely accepted as a key intervention with proven efficacy for improving newborn survival.Despite international commitments and targets to support and promote breastfeeding, there are still gaps in meeting and maintain coverage in many sub-Saharan African countries.This paper aimed to triangulate the p
Pandemics historically have killed as many people as the wars that have beset this world, yet the resources committed to pandemic prevention and response are a fraction of the resources we commit to security.This paper examines the COVID-19 pandemic of 2020 by analysing the preparedness and responses of the UK, the USA, Germany, and South Korea.We
With the emergence of cyber-physical systems (CPSs) in utility systems like electricity, water, and gas networks, data collection has become more prevalent.While data collection in these systems has numerous advantages, here it also raises concerns about privacy as it can potentially reveal sensitive information about users.To address this issue, w