[PDF][PDF] Applications of artificial intelligence in machine learning: review and prospect

S Das, A Dey, A Pal, N Roy - International Journal of Computer …, 2015 - Citeseer
Machine learning is one of the most exciting recent technologies in Artificial Intelligence.
Learning algorithms in many applications that's we make use of daily. Every time a web …

Security in smart cities: A brief review of digital forensic schemes for biometric data

A Ross, S Banerjee, A Chowdhury - Pattern Recognition Letters, 2020 - Elsevier
A smart city is engineered to be a self-sustained ecosystem driven by Internet-of-Things (IoT)
devices. Smooth functioning of smart cities is conditioned on seamless communication …

Audio surveillance of roads: A system for detecting anomalous sounds

P Foggia, N Petkov, A Saggese… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In the last decades, several systems based on video analysis have been proposed for
automatically detecting accidents on roads to ensure a quick intervention of emergency …

Environmental audio scene and sound event recognition for autonomous surveillance: A survey and comparative studies

S Chandrakala, SL Jayalakshmi - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

Digital multimedia audio forensics: past, present and future

M Zakariah, MK Khan, H Malik - Multimedia tools and applications, 2018 - Springer
Digital audio forensics is used for a variety of applications ranging from authenticating audio
files to link an audio recording to the acquisition device (eg, microphone), and also linking to …

Digital audio forensics: microphone and environment classification using deep learning

MA Qamhan, H Altaheri, AH Meftah… - Ieee …, 2021 - ieeexplore.ieee.org
The recording device along with the acoustic environment plays a major role in digital audio
forensics. We propose an acoustic source identification system in this paper, which includes …

Shallow and deep feature fusion for digital audio tampering detection

Z Wang, Y Yang, C Zeng, S Kong, S Feng… - EURASIP Journal on …, 2022 - Springer
Digital audio tampering detection can be used to verify the authenticity of digital audio.
However, most current methods use standard electronic network frequency (ENF) databases …

[HTML][HTML] A reinforcement learning recommender system using bi-clustering and Markov Decision Process

A Iftikhar, MA Ghazanfar, M Ayub, SA Alahmari… - Expert Systems with …, 2024 - Elsevier
Collaborative filtering (CF) recommender systems are static in nature and does not adapt
well with changing user preferences. User preferences may change after interaction with a …

[HTML][HTML] Nonintrusive objective measurement of speech intelligibility: A review of methodology

Y Feng, F Chen - Biomedical Signal Processing and Control, 2022 - Elsevier
Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

Digital audio tampering detection based on deep temporal–spatial features of electrical network frequency

C Zeng, S Kong, Z Wang, K Li, Y Zhao - Information, 2023 - mdpi.com
In recent years, digital audio tampering detection methods by extracting audio electrical
network frequency (ENF) features have been widely applied. However, most digital audio …