过去一年中添加的文章,按日期排序

Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions

O Bouarada, M Azam, M Amayri, N Bouguila - … Analysis and Applications, 2024 - Springer
9 天前 - … of its space. We train our BASMMHMM using the Baum–Welch Expectation
Maximization (EM) algorithm, and we apply it … price prediction and human activity recognition [25]. …

A Multi-Section Hierarchical Deep Neural Network Model for Time Series Classification: Applied To Wearable Sensor-Based Human Activity Recognition

Z Ghorrati, A Esmaeili, ET Matson - IEEE Access, 2024 - ieeexplore.ieee.org
10 天前 - … of time series classification (TSC) and human activity recognition (HAR). We highlight
… broad spectrum of techniques from traditional Hidden Markov Model (HMM) and ensemble…

A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review

S Jahan, MR Islam - arXiv preprint arXiv:2409.00731, 2024 - arxiv.org
26 天前 - … using multi-features and embedded hidden markov models for health care monitoring
systems. International Journal of Interactive Multimedia & Artificial Intelligence, 4(4), 2017…

Enhancing Person Recognition with Convolutional Neural Networks in Multimodal Biometrics

HS Jayanna, T Yadava - 2024 Asia Pacific Conference on …, 2024 - ieeexplore.ieee.org
63 天前 - … limitations of conventional hidden Markov models (HMMs) used in hybrid systems
for speech recognition. The DSNN introduces a segmental model with deep neural networks (…

[HTML][HTML] Identifikasi Tokoh dan Penokohan pada Teks Cerita Berbahasa Bali Menggunakan Pendekatan Berbasis Aturan dan Supervised Machine Learning

I Bimantara - 2024 - repository.its.ac.id
77 天前 - … Evaluation of test data shows an increase in SatuaNER performance of 7.42%
and 6.01% against the Hidden Markov Model (HMM). SatuaNER's pretrained performance is …

Anomaly Detection in Voice Conversations Through Spectral Features

N Balaji, P Nithish, GN Yadav - 2024 2nd International …, 2024 - ieeexplore.ieee.org
79 天前 - detection, and vulnerability scanning for police and cybersecurity agencies. It plays
a … The proposed model makes use of advanced unsupervised machine learning methods …

Survey on Objective Measurement and Sensor-Based Detection of Physical and Social Activities

A Mahmood, P Sridevi, PV Meikandan… - … , and Applications …, 2024 - ieeexplore.ieee.org
87 天前 - … body parts, and observing a positive impact on activity recognition [84]. In [… human
activity detection system. They used NN (neural networks) and HMM (Hidden Markov Models

Causality-Aware Pattern Mining Scheme for Group Activity Recognition

H Kim, H Son, D Lee - … Computers, Software, and Applications …, 2024 - ieeexplore.ieee.org
87 天前 - … Abstract—Human activity recognition is a key challenge in pervasive computing
and its … We leverage the weight sum method of Markov Chain Monte Carlo (MCMC) [23] that …

Artificial Intelligence-Assisted Pattern Discovery for Narrow Domains of Human Activity Using a Heuristic-Optimised Approach

SK Mohsin, SRA Kadeem, S Sheel… - … on Smart Systems …, 2024 - ieeexplore.ieee.org
91 天前 - … on the human activity recognition process, Section 3 examines the intelligent artificial
… the automatic human activity recognition system using a hidden Markov model resulted …

Automatic Speech Recognition for Hindi

A Saha, AG Ramakrishnan - arXiv preprint arXiv:2406.18135, 2024 - arxiv.org
92 天前 - … speech files necessitates voice activity detection because these intervals … activity
detection, also known as speech activity detection to detect the presence or absence of human