Results 51 to 60 of about 328,523 (223)

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

Research and implementation of Turbo decoding SOVA algorithm

Dianzi Jishu Yingyong
For the application requirements of low-orbit satellite communication, in order to reduce interference and load, convolutional codes, Turbo codes and other channel coding methods are usually used to improve the reliability of transmission.
Wang Danfei, Song Junkang, Xia Huining
doaj   +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

Separating Noisy TCP/IP Session Flows Based on Natural Redundancy Decoding

IET Communications, Volume 19, Issue 1, January/December 2025.
This paper optimizes the mean shift clustering algorithm for session flow separation in noisy environments by introducing a channel matching index for better window radius selection and using a majority decision mechanism for clustering centre updates. Tested on the CIC‐IDS‐2017 dataset, the proposed method achieves flow separation at a bit error rate ...
Guoxian Yu, Xiaomin Ran, Hongyi Yu, Zhixiang Shen   +3 more
wiley   +1 more source

Urban Travel Chain Estimation Based on Combination of CHMM and LDA Model

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
This study proposes a method that utilizes continuous hidden Markov models (CHMMs) and a travel destination prediction model, incorporating individual memory effects and distance effects, to estimate activity sequences for each travel chain and predict destinations, while optimizing CHMM results through the latent Dirichlet allocation topic model ...
Chenxi Xiao, Jinjun Tang, JaeYoung Jay Lee, Yunyi Liang   +3 more
wiley   +1 more source

Notice of Violation of IEEE Publication Principles: Channel Equalization and Data Detection of OVFDM Under Fading Channel

IEEE Access, 2020
Obtaining high spectral efficiency by overlapping and weighting multiplexing waveforms, OVFDM (Overlapped Frequency Division Multiplexing) system is considered to be a promising multi-carrier technology in future communication networks.
Yue Hu, Yafeng Wang, Haocheng Wang
doaj   +1 more source

Offshore Wind Power Prediction in Deep Sea Considering Wave‐Related Factors

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This paper integrates wave height information into a multi‐model framework, W‐DHMM‐MR, to enhance the accuracy of wind power prediction. Initially, bidirectional long short‐term memory (Bi‐LSTM) is employed to incorporate wave height data for precise deterministic wind speed forecasting.
Shuai Shi, Xiangyu Shi, Yuanyuan Li, Dongdong Li, Yao Zhao, Boyu Yang   +5 more
wiley   +1 more source

Weak Preprocessing Iris Feature Matching Based on Bipartite Graph

IET Signal Processing, Volume 2025, Issue 1, 2025.
Iris recognition is widely regarded as one of the most reliable biometric identification technologies. Traditional methods, such as the Daugman algorithm typically normalize the annular iris region into a rectangular format during the preprocessing stage, followed by feature extraction and matching.
Jin Zhang, Kangwei Wang, Rongrong Shi, Feng Xie, Qinghe Zheng, Ruizhe Zhang, Cheng Wu, Yiming Wang, Raul Alcaraz   +8 more
wiley   +1 more source

Application of Viterbi’s Algorithm for Predicting Rainfall Occurrence and Simulating Wet\Dry Spells – Comparison with Common Methods

مجله آب و خاک, 2015
Today, there arevarious statistical models for the discrete simulation of the rainfall occurrence/non-occurrence with more emphasizing on long-term climatic statistics.
M. Ghamghami, J. Bazrafshan
doaj   +1 more source

The Analysis of Controlled Flight Into Terrain Incidents From Flight Crew Perspective Using Named Entity Recognition and Bayesian Networks

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
Controlled flight into terrain (CFIT) can result in significant aircraft damage and human casualties. Analyzing incident factors and their evolutionary relationships in aviation safety reports helps explore the inherent mechanisms of CFIT, thereby potentially reducing their occurrence.
Junjie Liu, Wenzheng Yi, Aihua Zhang, Pengcheng Tian, Hui Bi   +4 more
wiley   +1 more source