… security, medical, defense military and professional filming. In recent years, deep learning
… methods and recent methods based on deep learning. Finally, the potential problems and …

… The latest development in machine learning-based semantic … differences, dense vegetation,
obstacles such as vehicles, … and safe environment for both pedestrians and vehicles. For …

This article compares and discusses three prevailing approaches used to understand the
concept of school culture and school culture phenomena. The approaches are typology-…

… of car following behavior of autonomous vehicles and mitigate the negative effects of traffic
oscillations, a deep reinforcement learning-based car … of safety, the TD3 model reduces safety …

… for autonomous vehicles using hybrid reinforcement learning[… Abstract: Ensuring the safety
of pedestrians is essential and … of the proposed method, we validate it in simulation using an …

… The paper mentioned some of the issues in loT systems like authentication, … car parking,
smart transportation, tracking goods details in supply chain system using sensors in the vehicle. …

… analytics and machine learning in driving operational excellence. It … , and dense layers), can
automatically learn hierarchical … and Machine Learning, data privacy and security emerge as …

… Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted …
Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle …

… security. Utilizing the coupling relationship between soil and environment within framework
of machine learning … Predicting soil organic carbon density using auxiliary environmental …

… of reinforcement learning in the field of autonomous driving. First,an … of reinforcement learning
is presented. Following that,the … deep reinforcement learning based safe automatic driving …