Results 71 to 80 of about 63,611 (263)
Asian Journal of Control, EarlyView.Abstract This paper focuses on the issue of adaptive event‐triggered containment control for Markov jump multi‐agent systems characterized by hidden Markov jump parameters. The central objective is to design an output‐feedback controller for the Markov jump multi‐agent system by using an adaptive event‐triggered technique that not only ensures the ...
Parivallal Arumugam +3 more
wiley +1 more source
Product code vector quantisation and hidden Markov modelling in isolated word recognition [PDF]
, 1987 Børge Lindberg, Paul Dalsgaard
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Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Convolutional Neural Networks Grid Search Optimizer Based Brain Tumor Detection
International Transactions on Electrical Engineering and Computer Science, 2023 The brain tissues segmented by MRI and CT provide a more accurate viewpoint on diagnosing various brain illnesses. Many different segmentation approaches may be used to brain MRI images.
Pushpak Kurella
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Minimum mean‐square error speech enhancement using hidden Markov models [PDF]
, 1989 Y. Ephraim
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Generative Deep Learning for Advanced Battery Materials
Batteries &Supercaps, EarlyView.This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 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 +2 more
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Hidden Markov models for fault detection in dynamic systems [PDF]
, 1994 Padhraic Smyth
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Reinforcement Learning for Robust Dynamic Metabolic Control
Biotechnology and Bioengineering, EarlyView.ABSTRACT Dynamic metabolic control allows key metabolic fluxes to be modulated in real time, enhancing bioprocess flexibility and expanding available optimization degrees of freedom. This is achieved, for example, via targeted modulation of metabolic enzyme expression.
Sebastián Espinel‐Ríos +2 more
wiley +1 more source
Two General Architectures for Intelligent Machine Performance Degradation Assessment
Shock and Vibration, 2015 Markov model is of good ability to infer random events whose likelihood depends on previous events. Based on this theory, hidden Markov model serves as an extension of Markov model to present an event from observations rather than states in Markov model.
Yanwei Xu, Aijun Xu, Tancheng Xie
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