Results 81 to 90 of about 2,414,319 (289)
Sensors, 2022 Along with the rapid development of autonomous driving technology, autonomous vehicles are showing a trend of practicality and popularity. Autonomous vehicles perceive environmental information through sensors to provide a basis for the decision making ...
Dayi Qu +4 more
doaj +1 more source
, 2017 Recent advances in combining deep learning and Reinforcement Learning have shown a promising path for designing new control agents that can learn optimal policies for challenging control tasks.
Givargis, Tony, Mirzaei, Hamid
core +1 more source
Multi-agent reinforcement learning for autonomous vehicles: a survey
Autonomous Intelligent Systems, 2022 In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual mobility, as well as from the road safety point of view.
Joris Dinneweth +3 more
semanticscholar +1 more source
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles [PDF]
IEEE transactions on intelligent transportation systems (Print), 2020 Academic research in the field of autonomous vehicles has reached high popularity in recent years related to several topics as sensor technologies, V2X communications, safety, security, decision making, control, and even legal and standardization rules ...
S. Aradi
semanticscholar +1 more source
Molecular Oncology, EarlyView.PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Sensors, 2023 The emergence of autonomous vehicles marks a shift in mobility. Conventional vehicles have been designed to prioritize the safety of drivers and passengers and increase fuel efficiency, while autonomous vehicles are developing as convergence technologies
Hyoduck Seo, Kyesan Lee, Kyujin Lee
doaj +1 more source
Stick Shift: Autonomous Vehicles, Driving Jobs, and the Future of Work [PDF]
, 2017 More than 30 companies say they are just a few years away from introducing autonomous vehicles to the mass market. While it is unknown what the ultimate impact of autonomous vehicles will have on jobs, there is a possibility that there could be a ...
Algernon Austin +3 more
core
Deep Reinforcement Learning framework for Autonomous Driving
, 2017 Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes.
Abdou, Mohammed +3 more
core +1 more source
YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma
Molecular Oncology, EarlyView.The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy +9 more
wiley +1 more source
Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine
Molecular Oncology, EarlyView.The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu +18 more
wiley +1 more source