A Hidden Markov Model based smartphone heterogeneity resilient portable indoor localization framework
Indoor localization is an emerging application domain that promises to enhance the way we
navigate in various indoor environments, as well as track equipment and people. Wireless …
navigate in various indoor environments, as well as track equipment and people. Wireless …
Low-altitude Slow Small Target Threat Assessment Algorithm by Exploiting Sequential Multi-Feature with Long-Short-Term-Memory
X Yu, S Wei, Y Fang, J Sheng, L Zhang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
For the preservation of low-airspace security, a comprehensive threat assessment of low-
altitude slow small (LSS) flying targets is essential. Threat assessment intrinsically depends …
altitude slow small (LSS) flying targets is essential. Threat assessment intrinsically depends …
Test script generation based on hidden Markov models learning from user browsing behaviors
I Erdem, RF Oguz, E Olmezogullari… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
User interface (UI) testing is a necessary process to evaluate whether the developed web
applications meet the software requirements defined by the end-users. This study proposes …
applications meet the software requirements defined by the end-users. This study proposes …
Offline handwritten text recognition using convolutional recurrent neural network
HP Tran, A Smith, E Dimla - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Offline handwriting recognition is an image-based sequence recognition task within
computer vision. Traditional approaches rely on lexical segmentation, complex feature …
computer vision. Traditional approaches rely on lexical segmentation, complex feature …
Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions
Abstract Hidden Markov models (HMMs) are popular methods for continuous sequential
data modeling and classification tasks. In such applications, the observation emission …
data modeling and classification tasks. In such applications, the observation emission …
Enhanced Bayesian Gaussian hidden Markov mixture clustering for improved knowledge discovery
The hidden Markov model (HMM) is widely utilized in natural language processing, speech
recognition, autonomous vehicular systems, and healthcare for tasks such as clustering …
recognition, autonomous vehicular systems, and healthcare for tasks such as clustering …
A Portable Indoor Localization Framework for Smartphone Heterogeneity Resilience
S Tiku, S Pasricha - Machine Learning for Indoor Localization and …, 2023 - Springer
Indoor localization is an emerging application domain that promises to enhance the way we
navigate in various indoor environments, as well as track equipment and people. Wireless …
navigate in various indoor environments, as well as track equipment and people. Wireless …
Analysis Of Vulnerabilities In Communication Channels Using An Integrated Approach Based On Machine Learning And Statistical Methods
This paper investigates potential weaknesses in embedded systems communication
channels, with a focus on identifying and analyzing specific vulnerabilities. The problem of …
channels, with a focus on identifying and analyzing specific vulnerabilities. The problem of …
Enhancing Accuracy in Handwritten Text Recognition with Convolutional Recurrent Neural Network and Data Augmentation Techniques
S Minz, R Kanojia, T Yadav… - 2023 Third International …, 2023 - ieeexplore.ieee.org
Handwriting recognition is a challenging research area in pattern recognition and image
processing that has various applications, such as reading assistance for the blind and …
processing that has various applications, such as reading assistance for the blind and …
Indian sign language recognition on PYNQ board
S Singh, GN Rathna, V Singhal - Recent Advances in …, 2022 - ingentaconnect.com
Introduction: Sign language is the only way to communicate for speech-impaired people. But
this sign language is not known to normal people so this is a barrier in communication. This …
this sign language is not known to normal people so this is a barrier in communication. This …