Results 51 to 60 of about 425 (179)

Enhancing Diabetes Management With CRIBC: A Novel NER Model for Constructing A Comprehensive Chinese Medical Knowledge Graph

Engineering Reports, Volume 7, Issue 10, October 2025.
This study proposes CRIBC, an advanced Named Entity Recognition (NER) model tailored for Chinese medical text processing. By integrating Chinese‐RoBERTa‐WWM‐EXT with BiLSTM‐CRF and IDCNN, CRIBC enables more accurate entity extraction and knowledge representation.
Yiqing Xu, Zalizah Awang Long, Djoko Budiyanto Setyohadi   +2 more
wiley   +1 more source

Application of convolutional codes for the protection of FPGA against single failures caused by outer space radiation effects

Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2017
Increasing the resistance of a system consisting of several programmable logic integrated circuits (FPGA) to space radiation effects is discussed in the paper.
A. A. Nikitin, Yu. N. Zhigulevtsev
doaj   +1 more source

Unified Neural Lexical Analysis Via Two‐Stage Span Tagging

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1254-1267, August 2025.
ABSTRACT Lexical analysis is a fundamental task in natural language processing, which involves several subtasks, such as word segmentation (WS), part‐of‐speech (POS) tagging, and named entity recognition (NER). Recent works have shown that taking advantage of relatedness between these subtasks can be beneficial.
Yantuan Xian, Yefen Zhu, Zhentao Yu, Yuxin Huang, Junjun Guo, Yan Xiang   +5 more
wiley   +1 more source

Transmembrane topology and signal peptide prediction using dynamic bayesian networks. [PDF]

PLoS Computational Biology, 2008
Hidden Markov models (HMMs) have been successfully applied to the tasks of transmembrane protein topology prediction and signal peptide prediction.
Sheila M Reynolds, Lukas Käll, Michael E Riffle, Jeff A Bilmes, William Stafford Noble   +4 more
doaj   +1 more source

Review and Analysis of Digital Signal Processing Algorithms for Coherent Optical Satellite Links

International Journal of Satellite Communications and Networking, Volume 43, Issue 3, Page 229-250, May/June 2025.
ABSTRACT Coherent optical satellite links enable high‐throughput communication and high accuracy ranging to and between satellites. Due to the ever‐increasing demand for throughput, wavelength division multiplexing of polarization multiplexed optical signals is being considered as a solution to provide high‐speed optical satellite links.
Carl Valjus, Raphael Wolf, Juraj Poliak
wiley   +1 more source

Joint Nonlinear Trellis-Coded Precoding and Noise-Weighted Viterbi Decoding for Robust High-Speed MISO Underwater Visible Light Communication

Photonics
In this paper, we propose a robust multi-input single-output (MISO) underwater visible light communication (UVLC) system. By integrating NLTCP and NW-Viterbi decoding, the system effectively alleviates nonlinear distortions and stochastic power ...
Yunlong Pan, Jiabin Ye, Yunkai Wang, Zhe Feng, Xinyi Liu, Zengyi Xu, Fujie Li, Chao Shen, Nan Chi   +8 more
doaj   +1 more source

Total Variation Based Joint Detection and State Estimation for Wireless Communication in Smart Grids

IEEE Access, 2019
A novel total variation (TV) framework is conceived for joint detection and dynamic state estimation (JDSE) for wireless transmission from the measurement devices to the control center in a smart grid.
Ankit Kudeshia, Aditya K. Jagannatham, Lajos Hanzo   +2 more
doaj   +1 more source

Improved order selection method for hidden Markov models: A case study with movement data

Methods in Ecology and Evolution, Volume 16, Issue 6, Page 1215-1227, June 2025.
Abstract Hidden Markov models (HMMs) are a versatile statistical framework commonly used in ecology to characterize behavioural patterns from animal movement data. In HMMs, the observed data depend on a finite number of underlying hidden states, generally interpreted as the animal's unobserved behaviour. The number of states is a crucial hyperparameter,
Fanny Dupont, Marianne Marcoux, Nigel Hussey, Marie Auger‐Méthé   +3 more
wiley   +1 more source

Prefrontal Internal Event‐Driven Analysis of Dynamical Electroencephalographic Biomarkers in Depression During Emotional Auditory Task

CNS Neuroscience &Therapeutics, Volume 31, Issue 4, April 2025.
We first proposed a novel framework for prefrontal internal event‐driven EEG data analysis, which permits event‐related analysis for experimental paradigms with low cognitive load and absence of external task events, and reveals internal event‐related neural oscillatory power specific to depressed emotional processes as well as abnormal low‐frequency ...
Qinglin Zhao, Kunbo Cui, Hua Jiang, Zhongqing Wu, Lixin Zhang, Mingqi Zhao, Bin Hu   +6 more
wiley   +1 more source

Design and implementation of a 2-bit add-compare-select unit in quantum-dot cellular automata [PDF]

EPJ Web of Conferences
QCA (Quantum Dot Cellular Automata) emerged as potential replacements for CMOS technology in the field of ultralow-power high-density digital circuits.
Kumar C. Naveen Saravan, N V Srinivas, E Prabhu   +2 more
doaj   +1 more source