Results 91 to 100 of about 1,377,038 (265)
Reinforcement-Learning-Based Trajectory Learning in Frenet Frame for Autonomous Driving
Applied SciencesAutonomous driving is a complex problem that requires intelligent decision making, and it has recently garnered significant interest due to its potential advantages in convenience and safety.
Sangho Yoon +5 more
doaj +1 more source
Driving policies of V2X autonomous vehicles based on reinforcement learning methods
IET Intelligent Transport Systems, 2020 Autonomous driving has been achieving great progress since last several years. However, the autonomous vehicles always ignore the important traffic information on the road because of the uncertainties of driving environment and the limitations of onboard
Zhenyu Wu, Kai Qiu, Hongbo Gao
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Improving training dynamics of projected GAN-CLC via state feedback control theory
npj Artificial IntelligenceGenerative adversarial networks (GANs) are pivotal for generative artificial intelligence, but their training is plagued by three intertwined core challenges: instability, gradient vanishing, and mode collapse.
Mingxing Li, Chenlong Li, Hong Lu
doaj +1 more source
IEEE AccessThis study investigates the potential of open-source Large Language Models (LLMs) to enhance the accessibility and understanding of complex legal information.
Patricio Santiago Garcia-Montero +3 more
doaj +1 more source
Motion sickness evaluation and comparison for a static driving simulator and a dynamic driving simulator [PDF]
, 2014 This paper deals with driving simulation and in particular with the important issue of motion sickness. The paper proposes a methodology to evaluate the objective illness rating metrics deduced from the motion sickness dose value and questionnaires for ...
KEMENY, Andras +5 more
core +1 more source
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Other title: Teen safe driving in Connecticut
, 2012 Annual; "Annual Report on Effectiveness of Connecticut's Teen Driving Laws.
core
Intelligent, In-Vehicle Autonomous Decision-Making Functionality for Driving Style Reconfigurations
, 2023 Intelligent connected vehicles (ICVs) constitute a transformative technology attracting immense research effort and holding great promise in providing road safety, transport efficiency, driving comfort, and eco-friendly mobility.
George Dimitrakopoulos +1 more
core +1 more source