Results 91 to 100 of about 53,114 (263)

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

Packaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas, Daniel Hellström, Henrik Pålsson, Yulia Vakulenko   +3 more
wiley   +1 more source

Complexity of Comparing Hidden Markov Models

, 2001
The basic theory of hidden Markov models was developed and applied to problems in speech recognition in the late 1960's, and has since then been applied to numerous problems, e.g. biological sequence analysis. In this paper we consider the problem of computing the most likely string generated by a given model, and its implications on the complexity of ...
Lyngsø, R.B., Pedersen, C.N.S.
openaire   +2 more sources

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition

International Journal of Distributed Sensor Networks, 2018
Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun, Keshav Thapa, M Humayun Kabir, Lee Hee-Chan   +3 more
doaj   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni   +1 more
wiley   +1 more source

Non‐Physical Barrier Design and Environmental Conditions Alter Routing and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in the Sacramento‐San Joaquin River Delta

River Research and Applications, EarlyView.
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin, Summer M. Burdick, Russell W. Perry   +2 more
wiley   +1 more source

Markov Observation Models and Deepfakes

Mathematics
Herein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

How to detect the life cycle of technology in the domain of endoscopy based on the hidden Markov model [PDF]

کتابداری و اطلاع‌رسانی, 2017
Purpose: This study aimed to identify how to diagnose technology life cycle of endoscopy by using data patents and hidden Markov model. Methodology: This applied research was conducted through a descriptive approach using exploratory method.
Ali Mansoori, Maryam Mohammadpour, Saeed Hayati   +2 more
doaj  

Impacts of Change‐Type and State‐Type System Qualities on Complex System Architectures

Systems Engineering, EarlyView.
ABSTRACT System qualities, such as scalability, expandability, and reconfigurability, are key requirements of complex systems. Requirements associated with system qualities are important factors in design trade space analyses, but systems engineering design methodologies make only limited use of these qualities, hindering a holistic understanding of ...
Christina F. Bridges, Benjamin W. Stirgwolt   +1 more
wiley   +1 more source