Results 51 to 60 of about 8,821,946 (173)

Importance of using genetic data to inform conservation captive breeding: A tale of two species of threatened macaws (Ara spp.)

Conservation Science and Practice, EarlyView.
Unmanaged captive populations of threatened species often harbor hidden genetic risks, so using genomic tools, we audited a large private macaw collection and uncovered extensive hybridization and high inbreeding. Our findings provide an actionable framework for how routine genetic screening can be used to mitigate these risks, manage captive breeding ...
George Olah, Jeff A. Johnson, Jeremy S. Johnson, Donald J. Brightsmith, Janice D. Boyd   +4 more
wiley   +1 more source

PDA-BCJR algorithm for factorial hidden Markov models with application to MIMO equalisation [PDF]

, 2006
In this paper we develop an efficient algorithm for inference in Factorial Hidden Markov Models (FHMM), which is particularly suitable for turbo equalisation in Multiple Input-Multiple Output (MIMO) systems.
Piechocki, Robert, McGeehan, Joe, Sandell, M, Andrieu, C., Piechocki, RJ, Sandell, Magnus, Andrieu, C, McGeehan, JP   +7 more
core   +1 more source

Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R

Journal of Statistical Software, 2011
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Jared O'Connell, Søren Højsgaard
doaj  

Pharmacological and non‐pharmacological interventions for managing sleep disorders in children with cerebral palsy: A systematic review

Developmental Medicine &Child Neurology, EarlyView.
xxxxxx Aim To systematically review the effectiveness, safety, and economic evidence of pharmacological and non‐pharmacological interventions for sleep disorders in children with cerebral palsy (CP). Method Databases including MEDLINE, Embase, CENTRAL (the Cochrane Library), International Clinical Trials Registry Platform of the World Health ...
Nishant Jaiswal, Lizzie Fisher, Giorgio Ciminata, Ryan Mulholland, Anna Noel‐Storr, Lesley Nutton, Valerie Orr, Paul Eunson, Nicola J. Cooper, Alex Sutton, Olivia Wu, Terry Quinn   +11 more
wiley   +1 more source

Explicit Modeling of Brain State Duration Using Hidden Semi Markov Models in EEG Data

IEEE Access
We consider the detection and characterization of brain state transitions based on ongoing electroencephalography (EEG). Here, a brain state represents a specific brain dynamical regime or mode of operation that produces a characteristic quasi-stable ...
Nelson J. Trujillo-Barreto, David Araya Galvez, Aland Astudillo, Wael El-Deredy   +3 more
doaj   +1 more source

Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network

Medical Devices: Evidence and Research, 2022
Hai Yin,1 Qiliang Ma,2 Junwei Zhuang,1 Wei Yu,1 Zhongyou Wang3 1School of Biomedical Engineering and Medical Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China; 2School of ...
Yin H, Ma Q, Zhuang J, Yu W, Wang Z
doaj  

Under the cover of darkness: Foraging behaviour increases on cloudy, new moon nights in a pelagic seabird

Ibis, EarlyView.
While many visual predators feed exclusively during the day, others exploit foraging opportunities at night, although the efficiency with which they do so is strongly influenced by ambient light levels. We investigated the influence of variation in nocturnal light on the foraging behaviour of a small pelagic seabird, the European Storm‐petrel ...
Darren Wilkinson, Adam Kane, Mark Jessopp, John L. Quinn   +3 more
wiley   +1 more source

A statistical multiresolution approach for face recognition using structural hidden Markov models [PDF]

, 2007
This paper introduces a novel methodology that combines the multiresolution feature of the discrete wavelet transform (DWT) with the local interactions of the facial structures expressed through the structural hidden Markov model (SHMM).
A. Amira, P Nicholl, D. Bouchaffra, Perrott, R H, P. Nicholl, R H Perrott, Perrott, RH, D Bouchaffra, Nicholl, P, Amira, A, Bouchaffra, D, A Amira, R. H. Perrott   +12 more
core   +1 more source

Performance Analyses and Improvements for IEEE 802.15.4 CSMA/CA Scheme in Wireless Multihop Sensor Networks Based on HTC Algorithm

International Journal of Distributed Sensor Networks, 2013
Most of analyses for the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme for multi-hop wireless sensor networks (WSNs) focus on how to avoid the impacts of hidden terminal problems rather than how to derive the exact
Jianping Zhu, Chunfeng Lv, Zhengsu Tao
doaj   +1 more source

The Use of Artificial Intelligence in Neonatal Seizure Detection: An Artificial Intelligence‐Assisted Systematic Review

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai, Kee Thai Yeo, Juin Yee Kong, Menghao Duan, Shaun Wen Huey Lee, Nathorn Chaiyakunapruk, Karan Varshney, Colleen Ovelman, Kee‐Hsin Chen   +8 more
wiley   +1 more source