Review of machine learning approach on credit card fraud detection
Massive usage of credit cards has caused an escalation of fraud. Usage of credit cards has
resulted in the growth of online business advancement and ease of the e-payment system …
resulted in the growth of online business advancement and ease of the e-payment system …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Review on pneumonia image detection: A machine learning approach
This paper surveys and examines how computer-aided techniques can be deployed in
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …
Efficient prediction of water quality index (WQI) using machine learning algorithms
The quality of water has a direct influence on both human health and the environment. Water
is utilized for a variety of purposes, including drinking, agriculture, and industrial use. The …
is utilized for a variety of purposes, including drinking, agriculture, and industrial use. The …
WhyMyFace: A novel approach to recognize facial expressions using CNN and data augmentations
Aptitude, in terms of human facial recognition, cases prior one of digital image's fundamental
parts. This conveys facial parameters in many social contexts. Medical imaging, robotics …
parts. This conveys facial parameters in many social contexts. Medical imaging, robotics …
Identification of disease based on symptoms by employing ML
S Abidin, MP Raghunath, P Rajasekar… - 2022 International …, 2022 - ieeexplore.ieee.org
A precise and appropriate examination of any health-related condition is critical for disease
detection and care. In the event of a critical illness, the standard method of detection may not …
detection and care. In the event of a critical illness, the standard method of detection may not …
Towards Reliable Diabetes Prediction: Innovations in Data Engineering and Machine Learning Applications
Objective: Diabetes is a metabolic disorder that causes the risk of stroke, heart disease,
kidney failure, and other long-term complications because diabetes generates excess sugar …
kidney failure, and other long-term complications because diabetes generates excess sugar …
Identifying long-term deposit customers: a machine learning approach
Majority of the revenue from the banking sector is usually generated from long term deposits
by customers. It is for banks to understand customer characteristics to increase product …
by customers. It is for banks to understand customer characteristics to increase product …
A comparative analysis of cnn-based pretrained models for the detection and prediction of monkeypox
Monkeypox is a rare disease that raised concern among medical specialists following the
convi-19 pandemic. It's concerning since monkeypox is difficult to diagnose early on …
convi-19 pandemic. It's concerning since monkeypox is difficult to diagnose early on …
Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques
Chronic Renal Disease (CRD) or Chronic Kidney Disease (CKD) is defined as the
continuous loss of kidney function. It's a long-term condition in which the kidney or renal …
continuous loss of kidney function. It's a long-term condition in which the kidney or renal …