Results 61 to 70 of about 546,093 (294)
Advanced Robotics Research, EarlyView.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
Advanced Engineering Research, 2007 Problem of computer model development of Sudan and Guruswami's list decoders for generalized Reed-Solomon codes and concatenated codes is solved. Strict algorithm of list decoding of concatenated codes is given.
V.V. MKRTICHAN
doaj
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Space-Time Codes and Concatenated Channel Codes for Wireless Communications
, 2002 Following a brief historical perspective on channel coding, an introduction to space–time block codes is given. The various space–time codes considered are then concatenated with a range of channel codecs, such as convolutional and block-based turbo ...
Liew, T.H., Hanzo, Lajos
core +1 more source
Bosonic Pauli+: Efficient Simulation of Concatenated Gottesman-Kitaev-Preskill Codes [PDF]
QuantumA promising route towards fault-tolerant quantum error correction is the concatenation of a Gottesman-Kitaev-Preskill (GKP) code with a qubit code. Development of such concatenated codes requires simulation tools which realistically model noise, while ...
Florian Hopfmueller +4 more
doaj +1 more source
Advanced Science, EarlyView.NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source
A unified ensemble of concatenated convolutional codes [PDF]
2017 IEEE International Symposium on Information Theory (ISIT), 2017 We introduce a unified ensemble for turbo-like codes (TCs) that contains the four main classes of TCs: parallel concatenated codes, serially concatenated codes, hybrid concatenated codes, and braided convolutional codes. We show that for each of the original classes of TCs, it is possible to find an equivalent ensemble by proper selection of the design
Saeedeh Moloudi +2 more
openaire +4 more sources
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
Advanced Science, EarlyView.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
Irregular Precoder-Aided Differential Linear Dispersion Codes
, 2008 —In this treatise, we propose a novel family of serial concatenated IrRegular Convolutional Coded (IRCC) IrRegular Precoded Differential Linear Dispersion Codes (IR-PDLDC).
Nan Wu, Wu, N, Hanzo, L, Lajos Hanzo
core +2 more sources
Extrinsic Information Transfer Analysis and Design of Block-Based Intermediate Codes [PDF]
, 2011 Intermediate codes have been shown to facilitate iterative decoding convergence to the maximum likelihood error ratio performance in serially concatenated schemes.
Robert G. Maunder +3 more
core +1 more source