Results 111 to 120 of about 3,083,050 (398)

The solution supramolecular structure of α2 → 8 polysialic acid suggests a structural cause for its low immunogenicity

FEBS Letters, EarlyView.
α2 → 8 polysialic acid elicits poor immunogenicity. Small‐angle scattering shows a supramolecular structure with parallel‐chain binding, although in different forms at μm and mm calcium. The major histocompatibility complex requires molecular weights around 2000 Da to produce antibodies, and 2000 Da polysialic oligomers will bind in these structures ...
Kenneth A. Rubinson
wiley   +1 more source

A Review of Environmental Perception Technology Based on Multi-Sensor Information Fusion in Autonomous Driving

World Electric Vehicle Journal
Environmental perception is a key technology for autonomous driving, enabling vehicles to analyze and interpret their surroundings in real time to ensure safe navigation and decision-making.
Boquan Yang, Jixiong Li, Ting Zeng
doaj   +1 more source

Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation [PDF]

arXiv, 2022
Robust environment perception for autonomous vehicles is a tremendous challenge, which makes a diverse sensor set with e.g. camera, lidar and radar crucial. In the process of understanding the recorded sensor data, 3D semantic segmentation plays an important role.
arxiv  

Choosing the Best Sensor Fusion Method: A Machine-Learning Approach

Italian National Conference on Sensors, 2020
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
R. Brena, Antonio A. Aguileta, L. Trejo, Erik Molino-Minero-Re, O. Mayora-Ibarra   +4 more
semanticscholar   +1 more source

Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
In this paper, we present an extension to LaserNet, an efficient and state-of-the-art LiDAR based 3D object detector. We propose a method for fusing image data with the LiDAR data and show that this sensor fusion method improves the detection performance
Gregory P. Meyer, Jake Charland, Darshan Hegde, A. Laddha, Carlos Vallespi-Gonzalez   +4 more
semanticscholar   +1 more source

Modular Sensor Fusion for Semantic Segmentation [PDF]

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
preprint of a paper presented at the IEEE International Conference on Intelligent Robots and Systems ...
Blum, Hermann, Gawel, Abel, Siegwart, Roland, Cadena, Cesar   +3 more
openaire   +3 more sources

Refining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

FEBS Letters, EarlyView.
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma, Jennifer R. Deuis, Xinying Jia, Theo Crawford, Sassan Rahnama, Eivind A. B. Undheim, Irina Vetter, Yanni K. ‐Y. Chin, Mehdi Mobli   +8 more
wiley   +1 more source

Deep convolutional neural networks for cyclic sensor data [PDF]

arXiv, 2023
Predictive maintenance plays a critical role in ensuring the uninterrupted operation of industrial systems and mitigating the potential risks associated with system failures. This study focuses on sensor-based condition monitoring and explores the application of deep learning techniques using a hydraulic system testbed dataset.
arxiv  

Analysis of sensor and fusion schedules of a time-triggered sensor fusion system [PDF]

2007 10th International Conference on Information Fusion, 2007
In this paper we analyze the sensor and fusion schedules of a time-triggered, Kalman filter based, multi-sensor fusion system. The fusion system is used as an environmental perception platform for advanced driver assistance systems and delivers its service to a safety related application. As the application demands cyclic updates with bounded accuracy,
A. Kirchner, Wilfried Elmenreich, M. Mauthner   +2 more
openaire   +2 more sources

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source