Results 61 to 70 of about 5,911 (187)

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

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

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa   +5 more
wiley   +1 more source

A hidden semi-Markov model for estimating burst suppression EEG [PDF]

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Burst suppression is an electroencephalogram (EEG) pattern associated with profoundly inactivated brain states characterized by cerebral metabolic depression. This pattern is distinguished by short-duration band-limited electrical activity (bursts) interspersed between relatively near-isoelectric periods (suppressions).
Chakravarty, Sourish, Baum, Taylor E., An, Jingzhi, Kahaliardabili, Pegah, Brown, Emery Neal   +4 more
openaire   +4 more sources

Emotional and motivational experiences in teacher–student relationships and psychological need satisfaction during adolescence: A latent profile and latent transition analysis

British Journal of Educational Psychology, EarlyView.
Abstract Background Emotional and motivational aspects of teacher–student relationships are central to adolescents' psychological need satisfaction and academic development. However, few longitudinal studies examine how these relational experiences evolve during adolescence or co‐occur with emotional‐motivational functioning.
Fabian Schimmelpfennig, Diana Raufelder
wiley   +1 more source

Animal behaviour on the move: the use of auxiliary information and semi-supervision to improve behavioural inferences from Hidden Markov Models applied to GPS tracking datasets

Movement Ecology, 2023
Background State-space models, such as Hidden Markov Models (HMMs), are increasingly used to classify animal tracks into behavioural states. Typically, step length and turning angles of successive locations are used to infer where and when an animal is ...
Sarah Saldanha, Sam L. Cox, Teresa Militão, Jacob González-Solís   +3 more
doaj   +1 more source

Route Restoring Based on Hidden Semi-Markov Model

Advances in Intelligent Systems Research, 2014
Present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we apply the Hidden SemiMarkov model and Mean Value method to demonstrate
Zhenmin Zhu, Jian Ye, Guannan Wang
openaire   +2 more sources

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Decoding Chinese stock market returns: Three-state hidden semi-Markov model [PDF]

Pacific-Basin Finance Journal, 2017
In this paper, we employ a three-state hidden semi-Markov model (HSMM) to explain the time-varying distribution of the Chinese stock market returns since 2005. Our results indicate that the time-varying distribution depends on the hidden states, which are represented by three market conditions, namely the bear, sidewalk, and bull markets.
Liu, Zhenya, Wang, Shixuan
openaire   +3 more sources

Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust

Information Systems Journal, EarlyView.
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley   +1 more source