Forensic accounting research around the world
PK Ozili - Journal of Financial Reporting and Accounting, 2023 - emerald.com
Purpose This paper aims to review the relevant forensic accounting research (FAR) around
the world and suggests avenues for future research in forensic accounting …
the world and suggests avenues for future research in forensic accounting …
Exploring the evolution of creative accounting and external auditors: Bibliometric analysis
AM ALShanti, HAH Al-Azab… - Cogent Business & …, 2024 - Taylor & Francis
This study focused on current research on creative accounting and external auditors as well
as prospective topics for future research. In the Web of Science Core Collection, a …
as prospective topics for future research. In the Web of Science Core Collection, a …
Fraudsters beware: Unleashing the power of metaverse technology to uncover financial fraud
This study seeks to investigate the potential of utilizing the metaverse environment to
enhance the ability of financial analysts in detecting financial fraud. A preregistered …
enhance the ability of financial analysts in detecting financial fraud. A preregistered …
Comparison of feature extraction technique for segmentation in Human Iris recognition under uncontrolled environment using CNN algorithm with SVM classifier
B Karthik, G Ramkumar - ECS Transactions, 2022 - iopscience.iop.org
The main aim of this study is to compare the radical segmentation of human iris using two
different machine learning algorithms in an uncontrolled environment image dataset. Images …
different machine learning algorithms in an uncontrolled environment image dataset. Images …
Fraud Detection in Fintech Leveraging Machine Learning and Behavioral Analytics
HP Josyula - 2023 - researchsquare.com
Fraud detection in the fintech sector is a critical area of concern as financial transactions
increasingly shift to digital platforms. This paper presents a comprehensive analysis of …
increasingly shift to digital platforms. This paper presents a comprehensive analysis of …
[PDF][PDF] Integrated SVM-FFNN for Fraud Detection in Banking Financial Transactions
R Udayakumar, PBK Chowdary, T Devi… - Journal of Internet …, 2023 - researchgate.net
Detecting fraud in financial transactions is crucial for guaranteeing the integrity and security
of financial systems. This paper presents an integrated approach for detecting fraudulent …
of financial systems. This paper presents an integrated approach for detecting fraudulent …
Assessment of orthodontic treatment needs in older adults: A retrospective study
B Nivethigaa, V Rakshagan - ECS Transactions, 2022 - iopscience.iop.org
Orthodontic treatment is a way of aligning teeth, to improve the aesthetics or function. It can
help in looking after the long term health of your teeth, gums and jaw joints, by spreading the …
help in looking after the long term health of your teeth, gums and jaw joints, by spreading the …
Accuracy improvement in disease identification of mango leaf using CNN algorithm compared with fuzzy algorithm
R Puviarasi - ECS transactions, 2022 - iopscience.iop.org
Aim: The main aim of this work is to measure the accuracy in the identification of mango leaf
diseases using Convolutional Neural Networks (CNN) compared with Fuzzy Logic. Materials …
diseases using Convolutional Neural Networks (CNN) compared with Fuzzy Logic. Materials …
Design and development of decorrelation stretch technique for enhancing the quality of satellite images with improved MSE and UIQI in comparison with wiener filter
R Nanmaran, SH Priya - ECS Transactions, 2022 - iopscience.iop.org
Aim: Image enhancement is the process of increasing the quality of an image by enhancing
certain features of an image and the resultant image is more suitable than the input image …
certain features of an image and the resultant image is more suitable than the input image …
Development of Wavelet Transform-Based Image Fusion Technique with Improved PSNR for CT and PET Images in Comparison with Discrete Cosine Transform …
R Nanmaran, B Luminasree - ECS Transactions, 2022 - iopscience.iop.org
The image fusion process is characterised as gathering all relevant data from multiple
images and combining it into a smaller number of images, typically only one. The aim of …
images and combining it into a smaller number of images, typically only one. The aim of …