Results 41 to 50 of about 3,574 (177)

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
doaj   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4322-4336, August 2026.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

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, ANGGUN FITRIAN ISNAWATI, SOLICHAH LARASATI   +2 more
doaj   +1 more source

Understanding Sex‐Specific Behavioral States of Bobcats in Response to Highway Proximity in South Texas

Ecology and Evolution, Volume 16, Issue 8, August 2026.
ABSTRACT Roads are a major source of landscape fragmentation that can influence movement patterns, survival, and behavioral states of carnivore species. Understanding their behavior and response to roads is crucial for developing effective mitigation strategies such as wildlife crossing structures, exclusion fencing, and habitat connectivity planning ...
Rupesh Maharjan, Sean Kiernan, Jack G. Towson, Elizabeth A. Saldo, Thomas M. Langschied, Emma K. Brookover, Daniel G. Scognamillo, John H. Young, Michael E. Tewes   +8 more
wiley   +1 more source

Named Entity Recognition Model Based on k-best Viterbi Decoupling Knowledge Distillation [PDF]

Jisuanji kexue yu tansuo
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation.
ZHAO Honglei, TANG Huanling, ZHANG Yu, SUN Xueyuan, LU Mingyu
doaj   +1 more source

Speech Preprocessing Method Based on Transmission Wave and Fluid Theory

Engineering Reports, Volume 8, Issue 8, August 2026.
With the continuous development of social economy, voice audio has become one of the important ways of streaming media, and is widely used in many fields. However, it is very important for how to process speech. In view of this requirement and limitation, this paper introduces transmission wave and fluid theory, tries to comb the corresponding noise ...
Lixian Wu, Weiwei Lai, Li Bu, Zhaoxiong Guan, Guangcai Wu, Yinglong Zheng   +5 more
wiley   +1 more source

Behavioral responses of black bears to human presence and infrastructure in Yosemite National Park

The Journal of Wildlife Management, Volume 90, Issue 6, August 2026.
Using GPS collar data from black bears in Yosemite National Park, we examined how bear spatiotemporal activity in relation to human development shifted during the COVID‐19 park closure in 2020. In the absence of visitors, bears maintained consistent landscape‐scale space use but altered fine‐scale spatial and temporal behaviors.
Jennifer R. Green, Caitlin Lee‐Roney, Kathleen Patrick, Rachel Mazur, Robert Lester, Erin Degutis, Ryan Leahy, Tal Avgar, Naomi B. Schwartz, Kaitlyn M. Gaynor   +9 more
wiley   +1 more source

SYNCHRONIZATION RECOVERY WHEN DECODING MESSAGES USING A MODIFIED VITERBI DECODING ALGORITHM

Известия высших учебных заведений. Поволжский регион:Технические науки, 2020
Background. Modern data transmission systems using cryptographic methods of information protection require high reliability and quality of information transmission. The object of research is protected data transmission systems. The subject of research
Yu. Yu. Sinitsyn, A. B. Sizonenko
doaj   +1 more source

Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 623-634, August 2026.
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz, Bilal Tasdelen, Ibrahim K. Ozaslan, Mihailo R. Jovanovic, Ye Tian, Krishna S. Nayak   +5 more
wiley   +1 more source

Divergence coding for convolutional codes

MATEC Web of Conferences, 2017
In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements.
Valery Zolotarev, Gennady Ovechkin, Dina Satybaldina, Nurlan Tashatov, Eldor Egamberdiyev   +4 more
doaj   +1 more source