[PDF][PDF] Supervised machine learning a brief survey of approaches

E Najjar, AM Breesam - Al-Iraqia Journal for Scientific Engineering Research, 2023 - iasj.net
Abstract Machine learning has become popular across several disciplines right now. It
enables machines to automatically learn from data and make predictions without the need …

Deep learning approaches for osteoarthritis diagnosis via patient activity data and medical imaging: A review

HN Abdalla, SK Gharghan, HA Atee - AIP Conference Proceedings, 2024 - pubs.aip.org
Osteoarthritis (OA), a prevalent degenerative joint disease, triggers significant global
impairment. Timely intervention relies on accurate early diagnosis. Recent advancements …

Cardiovascular diseases prediction using machine learning algorithms: A comparative study

AH Shaker, IA Ibrahim, SK Gharghan - AIP Conference Proceedings, 2024 - pubs.aip.org
Cardiovascular Diseases (CVD) have become increasingly common around the world in
recent times. Diagnosing these diseases is difficult due to traditional diagnostic methods …

Trademark Empowerment using Optimal Neutrosophic Topological Vector Space for Maximizing Customer Attraction.

A Ahmed - International Journal of Neutrosophic Science …, 2024 - search.ebscohost.com
Neutrosophic set is introduced as a generalization of intuitionistic fuzzy set, where any
elements x∈ X we have membership (T), non-membership (F), and indeterminacy (I) …

A survey on the integration of machine learning algorithms with wireless sensor networks for predicting diabetic foot complications

AA Ali, SK Gharghan, AH Ali - AIP Conference Proceedings, 2024 - pubs.aip.org
High blood sugar levels for an extended time lead to the development of diabetic foot, which
is a major medical problem among people with diabetes. Continuous care and management …

Machine learning techniques for cardiovascular disease detection through heart sound analysis: A review

AH Shaker, IA Ibrahim, SK Gharghan - AIP Conference Proceedings, 2024 - pubs.aip.org
Cardiovascular disease (CVD) is a life-threatening medical condition caused by high blood
sugar, high blood pressure, alcohol, smoking, and congenital abnormalities. There are …

Machine learning algorithms for diagnosing of knee osteoarthritis using radiographs

HN Abdalla, SK Gharghan, HA Atee - AIP Conference Proceedings, 2024 - pubs.aip.org
Osteoarthritis is a degenerative joint disease that commonly affects the elderly population.
The Kellgren-Lawrence grading system serves as the benchmark for evaluating OA severity …

Machine learning algorithms based on voice measurements for detecting Parkinson's disease

AH Ayyal, SK Gharghan, AH Mutlag - AIP Conference Proceedings, 2024 - pubs.aip.org
Parkinson's Disease (PD) is a neurological disease that affects the nervous system of the
human body. Parkinson's disease is considered a silent disease that does not show …

A Comparative Study on the Performance of Algorithms on Different AI Platforms.

Y Lee, J Cho - … Journal on Advanced Science, Engineering & …, 2024 - search.ebscohost.com
To understand the basic concepts and principles of artificial intelligence (AI) and to solve
problems using AI, it is necessary to use various platforms. Among AI machine-learning (ML) …

[PDF][PDF] Challenges in Supervised and Unsupervised Learning: A Comprehensive Overview.

MT Almuqati, F Sidi, SN Mohd Rum… - … Journal on Advanced …, 2024 - researchgate.net
Data science and machine learning are at the forefront of modern technological
advancements, promising automated insights, predictions, and decision-making. Supervised …