Results 91 to 100 of about 14,251,445 (242)

Figure 4. A chromosome structure for HMM shown in Figure 2.-Neuroevolution Mechanism for Hidden Markov Model

, 2011
The chromosome which represents the HMM can be extracted from its corresponding neural network. The general structure of the chromosome is divided into two sections, input layer and hidden layer. Each section contains many slots, and each slot represents
Neuroevolution Mechanism for Hidden Markov Model (5584958), Neuroevolution Mechanism for Hidden Markov Model   +1 more
core   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
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

Safeguarded Reinforcement Learning for Dynamic Environments

Optimal Control Applications and Methods, EarlyView.
This paper uses a combination of Reinforcement Learning and Funnel Control to train a fast and safe controller for systems operating in changing environments. Furthermore, the presented formulation overcomes former limitations associated with the need for predefined reference trajectories.
Simon Gottschalk
wiley   +1 more source

Different demographic drivers of recovery in two adjacent populations of a long‐lived bird of prey

Oikos, EarlyView.
Understanding the demographic mechanisms underlying population decline or recovery is critical for conservation and management, yet similar population trends may arise from very different underlying processes. Comparing populations of vulnerable species groups like long‐lived raptors in different environments can reveal how species respond to change ...
Carina Nebel, Toni Laaksonen, Torsten Stjernberg, Heikki Lokki, Michael Schaub   +4 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

Using Hidden Markov Model to Detect Macro-economic Risk Level

, 2013
In this paper, inspired by Moody’s BET model, a stochastic hidden Markov model is constructed to detect the macro-economic risk states hidden in the corporate default data.
Cheng, Jie, Zhu, Yajing
core  

Prediction of Prion Proteins in E. coli Based on Bimodal Sequence Characteristics

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Prions are infectious proteins that bear misfolded conformations capable of converting folded states into misfolded aggregates under physiologically relevant conditions. In mammals, prions cause deadly maladies including Creutzfeldt‐Jakob and chronic wasting disease. To date, several prion proteins have been identified in eukaryotes, primarily
Katherine Shreeve, Jinoh Jang, Mridula Srivathsan, Siyu Li, Taylor D. Scott, Silvia Cavagnero   +5 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  

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