Results 61 to 70 of about 241,122 (289)

Hybridization of a hidden Markov model using Elman neural network with application [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2014
This research aims to improve the performance of the work of hidden Markov model, which is limited to the positive integers as input, and through the use of Elman artificial neural network that have the ability to accept all types of data in the input ...
Omar Qasim
doaj   +1 more source

Interleaved Factorial Non-Homogeneous Hidden Markov Models for Energy Disaggregation [PDF]

, 2014
To reduce energy demand in households it is useful to know which electrical appliances are in use at what times. Monitoring individual appliances is costly and intrusive, whereas data on overall household electricity use is more easily obtained.
Goddard, Nigel, Sutton, Charles, Zhong, Mingjun   +2 more
core  

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

Advanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source

Dissecting Pirtobrutinib Resistance in Mantle Cell Lymphoma Through Single‐Cell Multi‐Omics

American Journal of Hematology, EarlyView.
ABSTRACT Pirtobrutinib (PBN), a non‐covalent BTK inhibitor, has been approved by the FDA for relapsed/refractory mantle cell lymphoma (MCL); however, resistance to PBN has been observed. To dissect the molecular dynamics driving PBN resistance, we performed integrative single‐cell multi‐omic profiling (scRNA‐seq, scATAC‐seq, and scDNA‐seq) on ...
Fangfang Yan, Yang Liu, Heng‐Huan Lee, Wei Wang, Joseph McIntosh, Yijing Li, Jovanny Vargas, Yue Fei, Sairah Ahmed, Lukas M. Simon, Michael Wang   +10 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

Tuberculosis Surveillance Using a Hidden Markov Model [PDF]

Iranian Journal of Public Health, 2012
Background: Routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence.
A Rafei, E Pasha, R Jamshidi Orak
doaj   +1 more source

Disease surveillance using a hidden Markov model

BMC Medical Informatics and Decision Making, 2009
Background Routine surveillance of disease notification data can enable the early detection of localised disease outbreaks. Although hidden Markov models (HMMs) have been recognised as an appropriate method to model disease surveillance data, they have ...
Wright Graeme, Veenendaal Bert, Eagleson Serryn, Watkins Rochelle E, Plant Aileen J   +4 more
doaj   +1 more source

Hidden Markov Model Identifiability via Tensors

, 2013
The prevalence of hidden Markov models (HMMs) in various applications of statistical signal processing and communications is a testament to the power and flexibility of the model.
Nguyen, Hung X., Roughan, Matthew, Tune, Paul   +2 more
core   +1 more source

Reigniting engagement: A multidisciplinary, authentic case‐based approach to anatomy and physiology education for medical imaging students

Anatomical Sciences Education, EarlyView.
Abstract Anatomy and physiology are foundational to health science education, yet student engagement in these modules often declines during later years of study. This discursive article aims to describe a teaching intervention which increased student engagement and provide educator reflection of implementation and improvement over time.
Nicolene Jooste, Asma Shaikh‐Kader
wiley   +1 more source

Features requirement elicitation process for designing a chatbot application

IET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari, Puteri N. E. Nohuddin, Ahmad Hanif Ahmad Baharin, Noor Azuddin Yakob, Mohammad Javad Ebadi   +4 more
wiley   +1 more source