Fraud detection and prevention in e-commerce: A systematic literature review

VF Rodrigues, LM Policarpo, DE da Silveira… - Electronic Commerce …, 2022 - Elsevier
The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …

Performance analysis of machine learning algorithms for prediction of liver disease

V Singh, MK Gourisaria, H Das - 2021 IEEE 4th international …, 2021 - ieeexplore.ieee.org
Liver diseases like fatty liver disease, chronic active hepatitis, and cirrhosis are the major
cause of mortality in India. Alcohol consumption, inhalation of harmful toxic gases, improper …

Heart disease prediction using core machine learning techniques—a comparative study

S Sarah, MK Gourisaria, S Khare, H Das - Advances in Data and …, 2022 - Springer
Cardiovascular diseases are responsible for twenty five per cent of the deaths in India and
across the world. Indians are affected by CVDs at a much earlier age compared to the other …

Data science appositeness in diabetes mellitus diagnosis for healthcare systems of developing nations

MK Gourisaria, G Jee, GM Harshvardhan… - IET …, 2022 - Wiley Online Library
One of the capacious applications of data science could be its use in bioinformatics. With its
proper implementation, chronic diseases like diabetes mellitus, responsible for millions of …

Mycobacterium tuberculosis detection using CNN ranking approach

V Singh, MK Gourisaria, GM Harshvardhan… - … Paradigms and Hybrid …, 2021 - Springer
The main reason behind the large number of mortality among homo-sapiens is due to
Mycobacterium tuberculosis (TB). Majorly, TB can be classified into two categories named …

Classification system for prediction of chronic kidney disease using data mining techniques

I Saha, MK Gourisaria, GM Harshvardhan - Advances in Data and …, 2022 - Springer
Chronic kidney disease leads to the dysfunctioning of kidneys where it is unable to regulate
and filter minerals from the blood. To help the medical experts, this paper shows the …

Detecting Frauds and Payment Defaults on Credit Card Data Inherited with Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review

SN Kalid, KC Khor, KH Ng, GK Tong - IEEE Access, 2024 - ieeexplore.ieee.org
Credit card payments are one popular e-payment option apart from cash payments. Recent
reports show that credit card fraud and payment defaults are increasing annually and are …

Role of AI and its impact on the development of cyber security applications

A Anandita Iyer, KS Umadevi - Artificial Intelligence and Cyber Security in …, 2023 - Springer
Abstract With the Industry 4.0 revolution, modern organizations and their ecosystems are
evolving rapidly. The cyberattack surface is growing simultaneously, thus enabling new …

Retinal disease detection using CNN through optical coherence tomography images

S Sarah, V Singh, MK Gourisaria… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The thin-layered tissue retina is an important part of the eye. Diabetic Macular Edema,
Drusen, and Choroidal Neovascularization are major maladies of the retina. Optical …

Early-Stage detection of liver disease through machine learning algorithms

K Dutta, S Chandra, MK Gourisaria - Advances in Data and Information …, 2022 - Springer
Liver disease is one of the threatening diseases that can even cause various side effects
which become incurable if not detected at an early stage. Many complex functions of the …