Results 91 to 100 of about 1,601,679 (307)

Synthetic Data Enhancement and Network Compression Technology of Monocular Depth Estimation for Real-Time Autonomous Driving System

Sensors
Accurate 3D image recognition, critical for autonomous driving safety, is shifting from the LIDAR-based point cloud to camera-based depth estimation technologies driven by cost considerations and the point cloud’s limitations in detecting distant small ...
Woomin Jun, Jisang Yoo, Sungjin Lee
doaj   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

Reinforcement-Learning-Based Trajectory Learning in Frenet Frame for Autonomous Driving

Applied Sciences
Autonomous 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, Youngjoon Kwon, Jaesung Ryu, Sungkwan Kim, Sungwoo Choi, Kyungjae Lee   +5 more
doaj   +1 more source

An interactive enhanced driving dataset for autonomous driving

Scientific Data
Abstract Driving interaction data are important for training and evaluating autonomous driving Vision-Language-Action (VLA) models, but existing datasets contain limited dense interaction samples and weak alignment between trajectories, visual inputs, and language annotations.
Haojie Feng, Peizhi Zhang, Mengjie Tian, Xinrui Zhang 0004, Zhuoren Li, Junpeng Huang, Xiurong Wang, Junfan Zhu, Jianzhou Wang, Dongxiao Yin, Lu Xiong 0001   +10 more
openaire   +2 more sources

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Radar Perception of Multi-Object Collision Risk Neural Domains during Autonomous Driving

The analysis of the state of the literature in the field of methods of perception and control of the movement of autonomous vehicles shows the possibilities of improving them by using an artificial neural network to generate domains of prohibited ...
Józef Lisowski
core   +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

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Improving training dynamics of projected GAN-CLC via state feedback control theory

npj Artificial Intelligence
Generative 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

Legal AI for All: Reducing Perplexity and Boosting Accuracy in Normative Texts With Fine-Tuned LLMs and RAG

IEEE Access
This 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, Paulina Vizcaino, Ivan Galo Reyes-Chacon, Manuel Eugenio Morocho-Cayamcela   +3 more
doaj   +1 more source