Results 251 to 260 of about 2,712,717 (312)

Fine-tuning affinity and spacer design enhances T cell potency in DLL3 and BCMA CAR T cells. [PDF]

MAbs
Mazzanti N, Tamot N, Francese A, Luo J, Borrok MJ, Rossillo J, Plummer J, Patwardhan GA, Sum CS, Ports M, Spiller KL, Sukumar M.   +11 more
europepmc   +1 more source

The development of CAR T cells for patients with CNS malignancies. [PDF]

Nat Rev Clin Oncol
Binder ZA, Bagley SJ, Foster JB, O'Rourke DM.   +3 more
europepmc   +1 more source

Editorial: Enhancing CAR T-cell therapy with imaging. [PDF]

Front Immunol
Lopci E, de Jong D, Dercle L.
europepmc   +1 more source

Bayesian Models to Generate Small Area Estimates of Population Health: Tutorial for Using Rate Stabilizing Tools and Their Output.

JMIR Public Health Surveill
DeLara D, Zomorrodi R, Quick H, Tootoo J, Li R, Baker J, Kwon J, Casper M, Vaughan A.   +8 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Towards data-driven car-following models

Transportation Research Part C: Emerging Technologies, 2015
Abstract Car following models have been studied with many diverse approaches for decades. Nowadays, technological advances have significantly improved our traffic data collection capabilities. Conventional car following models rely on mathematical formulas and are derived from traffic flow theory; a property that often makes them more restrictive. On
Vasileia Papathanasopoulou, Constantinos Antoniou   +1 more
openaire   +2 more sources

Fault Tolerance Analysis of Car-Following Models for Autonomous Vehicles

IEEE transactions on intelligent transportation systems (Print), 2022
Microscopic car-following models can be applied in Autonomous Vehicles (AVs) to control the real-time longitudinal interactions among individual vehicles.
Tanveer Awal, M. Mushfiq, A. Islam
semanticscholar   +1 more source

Modeling oscillatory car following using deep reinforcement learning based car following models

2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021
In this work, we use reinforcement learning (RL) to train a car following model for vehicle jerk. The learned model is specifically trained for car following in low-speed oscillatory driving conditions such as stop-and-go traffic typical in congested urban centers.
John Nguyen, Raphael Stern
openaire   +1 more source

An Algebraic Evaluation Framework for a Class of Car-Following Models

IEEE transactions on intelligent transportation systems (Print), 2022
Car-following models describe how a driver follows the leading vehicle in the same lane. They serve as the cornerstone of microscopic traffic-flow simulations and play an essential role in analyzing human factors in traffic casualty, congestion ...
Zejiang Wang, Xing-nan Zhou, Junmin Wang
semanticscholar   +1 more source