Results 91 to 100 of about 1,791,426 (298)
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Convolutional Operator Code Generator for a Domestic Accelerator [PDF]
Domestic deep-learning accelerators have developed rapidly in recent years.Hardware resources have been changing continuously, and a series of tensor core instructions have been introduced.
WANG Xiaolong, WANG Jialiang, JI Qing, HOU Fengyao
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes
The organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness
E. G. Makeichik +2 more
doaj
Divergence coding for convolutional codes
In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements.
Valery Zolotarev +4 more
doaj +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Layered Steered Space-Time Codes Using Iterative Detection
This paper presents a novel multifunctional multiple-input multiple-output (MIMO) scheme that combines the benefits of the Vertical Bell Labs Layered Space-Time (VBLAST) scheme, of Space-Time Codes (STC) as well as of beamforming.
Alamri, O. +5 more
core +2 more sources
Iterative decoding convergence and termination of serially concatenated codes
In this paper we demonstrate that previously proposed serially concatenated codes only facilitate iterative decoding convergence towards points that are near but not at the top-right hand corner of the EXIT chart, which typically results in an error ...
Hanzo, L., Maunder, R. G.
core +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
The construction of hydroacoustic signal for object positioning in a fast fading aquatic environment is considered. The relevant data coding options of underwater signal are proposed.
D. S. Borovitskiy, V. P. Ipatov
doaj

