The transition to electric vehicles is an important strategy for reducing greenhouse gas emissions from passenger cars.Modelling future pathways helps identify critical drivers and uncertainties.Global integrated assessment models (IAMs) have been used extensively to analyse climate mitigation policy.IAMs emphasise technological change processes bu
Gelişen teknoloji ile beraber internet ve sosyal medya kullanım oranları günden güne artmaktadır.Sosyal medya kullanımının bu denli yaygınlaşması, pazarlama anlayışı şeklini değiştirmiş ve sosyal medya pazarlamasının önemini artırmıştır.Sosyal medyanın popüler olması ve sosyal medya ünlüleri olarak adlandırılan ve g
As large language models (LLMs) permeate more and more applications, an assessment of their associated security risks becomes increasingly necessary.The potential for exploitation by malicious actors, ranging from disinformation to data breaches and reputation damage, is substantial.This paper addresses a gap in current research by specifically Swe
BackgroundEssential oils, often referred to as “liquid gold,” are renowned for their broad biological activity.Ancient Egyptians used essential oils’ antibacterial and antiseptic effects to preserve mummies, ancient Greeks used olive oil for sun protection, and ancient Chinese used essential oils to treat wounds.When essential oils are applie
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver.RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward