Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
A systematic literature review on frauds in banking sector
D Mangala, L Soni - Journal of financial crime, 2023 - emerald.com
Purpose Banking industry peculiarly has become soft target for several pernicious deceptive
and fraudulent activities. The purpose of this paper is to systematically review the literature …
and fraudulent activities. The purpose of this paper is to systematically review the literature …
Insurance fraud detection: Evidence from artificial intelligence and machine learning
This study proposes a framework for fraud detection in the auto insurance industry by using
predictive models. The feature selection is performed utilizing a publicly available car …
predictive models. The feature selection is performed utilizing a publicly available car …
Fraud detection in publicly traded US firms using Beetle Antennae Search: A machine learning approach
In this paper, we present a fraud detection framework for publicly traded firms using an
optimization approach integrated with a meta-heuristic algorithm known as Beetle Antennae …
optimization approach integrated with a meta-heuristic algorithm known as Beetle Antennae …
A trust management model for IoT devices and services based on the multi-criteria decision-making approach and deep long short-term memory technique
Y Alghofaili, MA Rassam - Sensors, 2022 - mdpi.com
Recently, Internet of Things (IoT) technology has emerged in many aspects of life, such as
transportation, healthcare, and even education. IoT technology incorporates several tasks to …
transportation, healthcare, and even education. IoT technology incorporates several tasks to …
Proposing an integrated approach to analyzing ESG data via machine learning and deep learning algorithms
In the COVID-19 era, people face situations that they have never experienced before, which
alerted the importance of the ESG. Investors also consider ESG indexes as an essential …
alerted the importance of the ESG. Investors also consider ESG indexes as an essential …
A review on big data based on deep neural network approaches
Big data analytics has become a significant trend for many businesses as a result of the
daily acquisition of enormous volumes of data. This information has been gathered because …
daily acquisition of enormous volumes of data. This information has been gathered because …
A proposed model for card fraud detection based on Catboost and deep neural network
The rapid development of technology has digitized customer payment behavior towards a
cashless society. To a certain extent, this has created a feast for miscreants to commit fraud …
cashless society. To a certain extent, this has created a feast for miscreants to commit fraud …
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …
an ensemble architecture based on deep learning model for click fraud detection in Pay-Per-click advertisement campaign
With the rapid development of online advertising, click fraud is a serious issue for the
internet market. Click fraud is a dishonest attempt to improve a website's profit or deplete an …
internet market. Click fraud is a dishonest attempt to improve a website's profit or deplete an …