Person identification based on voice biometric using deep neural network

ND Al-Shakarchy, HK Obayes, ZN Abdullah - International Journal of …, 2023 - Springer
Nowadays in all everyday transactions, technological progress has become an intrinsic
characteristic that depends on such electronic applications as financial and banking …

Artificial intelligence in medicine for chronic disease classification using machine learning

M Rakhimov, R Akhmadjonov… - 2022 IEEE 16th …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) systems in medicine are one of the most important modern trends in
global healthcare. Artificial intelligence technologies are fundamentally changing the global …

Acoustic sensors for automated detection of cow vocalization duration and type

PR Shorten, LB Hunter - Computers and Electronics in Agriculture, 2023 - Elsevier
Acoustic technologies provide a non-invasive method to generate information about cow
vocalization. This study demonstrated that collar attached acoustic sensors can differentiate …

An AI-driven secure and intelligent robotic delivery system

W Wang, P Gope, Y Cheng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Last-mile delivery has gained much popularity in recent years, it accounts for about half of
the whole logistics cost. Unlike container transportation, companies must hire significant …

Analyzing noise robustness of cochleogram and Mel spectrogram features in deep learning based speaker recognition

W Lambamo, R Srinivasagan, W Jifara - applied sciences, 2022 - mdpi.com
The performance of speaker recognition systems is very well on the datasets without noise
and mismatch. However, the performance gets degraded with the environmental noises …

Detection Systems for Distributed Denial-of-Service (DDoS) Attack Based on Time Series: A Review

AA Nafea, MM Hamdi… - … Multi-Conference on …, 2024 - ieeexplore.ieee.org
The Distributed Denial-of-Service (DDoS) attacks are one of the most critical threats to the
stability and security of the Internet. With the increasing number of devices connected to the …

[PDF][PDF] Using artificial intelligence (AI) technology in the health sector has several goals

MB Ahmad, SH Ayagi, UF Musa - Journal homepage: https …, 2023 - academia.edu
In a broad sense, artificial intelligence (AI) refers to any computer or system behavior that
resembles human behavior. A subfield of artificial intelligence called" machine learning" …

Chains: chain-based fusion safety system framework for intelligent connected vehicle

S Yang, B Sun, H Guang, R Wang, B Zheng, W Gong… - Chain, 2024 - ieeexplore.ieee.org
Intelligent connected vehicles, as the focus of the global automotive industry, are currently at
a critical stage of large-scale commercialization. However, during the development process …

Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security

S Gui, C Zhou, H Wang, T Gao - Electronics, 2023 - mdpi.com
With the rapid development of big data, artificial intelligence, and Internet technologies,
human–human contact and human–machine interaction have led to an explosion of voice …

AttentionPose: Attention-driven end-to-end model for precise 6D pose estimation

MA Rasheed, RN Farhan, WM Jasim - Journal of Intelligent Systems, 2023 - degruyter.com
Addressing the complex problem of 6D pose estimation from single RGB images is essential
for robotics, augmented reality, and autonomous driving applications. The aim of this study is …