Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine …
The aims and objectives of the study were to i) perform image segmentation using a color-
based k-means clustering algorithm and feature extraction using binary robust invariant …
based k-means clustering algorithm and feature extraction using binary robust invariant …
Novel based ensemble machine learning classifiers for detecting breast cancer
T Srinivas, AK Karigiri Madhusudhan… - Mathematical …, 2022 - Wiley Online Library
Nowadays, for many industries, innovation revolves around two technological
improvements, Artificial Intelligence (AI) and machine learning (ML). ML, a subset of AI, is …
improvements, Artificial Intelligence (AI) and machine learning (ML). ML, a subset of AI, is …
[PDF][PDF] Enhancing Detection of Malicious URLs Using Boosting and Lexical Features.
M Atrees, A Ahmad, F Alghanim - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
A malicious URL is a link that is created to spread spams, phishing, malware, ransomware,
spyware, etc. A user may download malware that can adversely affect the computer by …
spyware, etc. A user may download malware that can adversely affect the computer by …
Investigating the factors affecting speeding violations in Jordan using phone camera, radar, and machine learning
Traffic accidents are considered the leading cause of death for the age group (5–29). They
cause approximately 1.3 million deaths every year. Different factors cause traffic accidents; …
cause approximately 1.3 million deaths every year. Different factors cause traffic accidents; …
A Comparative Study of Machine Learning Techniques for Diabetes Prediction
SAB Andrabi, I Singh - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
Diabetes is one of the crucial health concerns present in the world. In this paper several
papers have been reviewed for the diabetes detection and comparative analysis of different …
papers have been reviewed for the diabetes detection and comparative analysis of different …
Indoor localization using software defined radio: A non-invasive approach
In the field of data-driven healthcare systems, wireless-based human activity monitoring in
an indoor environment is getting popular. Localization of human activities can help patients …
an indoor environment is getting popular. Localization of human activities can help patients …
Data Mining, Weka Decision Trees
Z Duran, İ Akargöl, T Doğan - Orclever Proceedings of …, 2023 - journals.orclever.com
Nowadays, computer technologies are increasing rapidly. Thanks to the development of
computer technologies, large and complex raw data sets can be transformed into useful …
computer technologies, large and complex raw data sets can be transformed into useful …
Diagnosis of Hepatitis Disease Classification Using Non-Linear Compound Algorithms
The liver is a vibrant organ of our body that cast-off to process nutrients, scrimmage
infections, and blood baptism. Inflammation of the liver causes an acute or chronic infection …
infections, and blood baptism. Inflammation of the liver causes an acute or chronic infection …
Performance of classification algorithm for Indonesian Covid-19 risk zones
A Ainurrohmah, DT Wiyanti - AIP Conference Proceedings, 2023 - pubs.aip.org
Classification of the Covid-19 risk zone is one of the government's efforts in handling the
Covid-19 pandemic in Indonesia. The division of risk zones is the basis for the government …
Covid-19 pandemic in Indonesia. The division of risk zones is the basis for the government …
Student Graduation Prediction Using Decision Tree Method with C4. 5 Algorithm
S Sarbaini, F Ulfa - Jurnal Diferensial, 2024 - ejurnal.undana.ac.id
One of the determinants of the quality of higher education is the percentage of student's
ability to complete their studies on time. However, in practice, few students can complete …
ability to complete their studies on time. However, in practice, few students can complete …