Results 51 to 60 of about 409 (184)

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

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

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

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

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

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

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

An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection

International Journal of Distributed Sensor Networks, Volume 2025, Issue 1, 2025.
Over the past decades, Session Initiation Protocol (SIP) has been commonly utilized in signaling protocol to control and signal multimedia communication sessions for providing various services to users. Video calls and internet telephony over Internet Protocol (IP) are the most common applications on SIP.
V. Sreenivasulu, C. V. Ravikumar, Sivakumar Poruran   +2 more
wiley   +1 more source