Results 41 to 50 of about 2,303,958 (204)
Research on Protein Complex Recognition Using Hidden Markov Model
Jisuanji kexue yu tansuo, 2021 The construction of dynamic protein networks and the recognition of protein complexes are the hot topics in the current research of bioinformatics.
LI Peng, LUO Aijing, MIN Hui, TAN Sunyi, GUO Huimin
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Multiple Chains Markov Switching Vector Autoregression
Journal of Time Series Analysis, EarlyView.ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
Optimal Estimation and Sequential Channel Equalization Algorithms for Chaotic Communications Systems
EURASIP Journal on Advances in Signal Processing, 2001 Many previously proposed communications systems based on chaos disregard common channel distortions and fail to work under realistic channel conditions.
Douglas B. Williams, Mahmut Ciftci
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Tackling nonlinear price impact with linear strategies
Mathematical Finance, Volume 35, Issue 2, Page 422-440, April 2025.Abstract Empirical studies in various contexts find that the price impact of large trades approximately follows a power law with exponent between 0.4 and 0.7. Yet, tractable formulas for the portfolios that trade off predictive trading signals, risk, and trading costs in an optimal manner are only available for quadratic costs corresponding to linear ...
Xavier Brokmann +3 more
wiley +1 more source
A Protein Sequence Analysis Hardware Accelerator Based on Divergences
International Journal of Reconfigurable Computing, 2012 The Viterbi algorithm is one of the most used dynamic programming algorithms for protein comparison and identification, based on hidden markov Models (HMMs).
Juan Fernando Eusse +3 more
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Scandinavian Journal of Statistics, EarlyView.ABSTRACT Two major tasks in applications of hidden Markov models are to (i) compute distributions of summary statistics of the hidden state sequence, and (ii) decode the hidden state sequence. We describe finite Markov chain imbedding (FMCI) and hybrid decoding to solve each of these two tasks.
Zenia Elise Damgaard Bæk +3 more
wiley +1 more source
Application of Hidden Markov Model in Malicious Domain Name Detection [PDF]
Jisuanji gongcheng, 2019 A malicious domain name detection method based on Hidden Markov Model(HMM) is proposed.The characteristics of good and evil domain name in DNS communication are analyzed,and the attribute characteristics are counted by using the efficient computing power
BAI Lingling, NING Zhenhu, XUE Fei, YANG Yongli
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Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT We present an efficient multi‐object map‐matching approach for scene modeling in the context of automated driving. The mapping of traffic participants to the road topology is a key component of the scene modeling step in the processing pipeline for situation‐aware automated driving.
Maximilian Gerwien, Klaus Röbenack
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Analisis Kinerja FBMC OQAM menggunakan Kode Konvolusi
Jurnal Elkomika, 2021 ABSTRAK Sistem FBMC merupakan teknologi MCM yang dapat menyediakan laju data bit yang tinggi. Modulasi digital OQAM digunakan untuk meningkatkan bit rate. Pengkodean kanal digunakan untuk mengoreksi kesalahan yang diakibatkan noise.
MIFTAKHUDIN YUSUF +2 more
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The Plant Genome, Volume 19, Issue 4, December 2026.Abstract One strategy for increasing the genetic diversity of upland cotton (Gossypium hirsutum) involves the introgression of beneficial alleles from related and wild tetraploid species. Progress in this area has been limited due to undesirable outcomes associated with whole genome interspecific hybridization. To minimize genetic influences from other
Ganesh Pinnika +4 more
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