Artificial Neural Network Hyperparameters Optimization: A Survey.

ZS Kadhim, HS Abdullah… - International Journal of …, 2022 - search.ebscohost.com
Abstract Machine-learning (ML) methods often utilized in applications like computer vision,
recommendation systems, natural language processing (NLP), as well as user behavior …

Knowledge-based genetic algorithm approach to optimise gated recurrent unit for semantic web service classification

S Sridevi, GR Karpagam… - International Journal of …, 2023 - inderscienceonline.com
The expeditious proliferation of web services over the current web-cyberspace becomes a
significant challenge for the web service classification. Recent reports suggest a deep …

Improving machine learning performance using exponential smoothing for liver disease estimation

I Suryani, H Harafani, I Ispandi, DCP Buani… - AIP Conference …, 2023 - pubs.aip.org
Liver disease is a disease that affects many humans. Machine learning that is developing at
this time, is also widely implemented in the medical field. In this study, machine learning was …

A MODEL FOR DIAGNOSING LIVER DISEASES USING “MACHINE LEARNING” TECHNIQUES

H Tahmasbi, R Besharati, M Alishahi - Studies in Medical Sciences, 2023 - umj.umsu.ac.ir
Background & Aims: Early diagnosis of liver diseases has a significant effect on the
prevention of its complications as well as control and treatment of the disease.“Machine …

مدلی برای تشخیص بیماری‌های کبدی با استفاده از روش‌های یادگیری ماشینی

طهماسبی, بشارتی, علیشاهی, محمد - مجله مطالعات علوم پزشکی, 2023‎ - umj.umsu.ac.ir
پیش‌زمینه و هدف: تشخیص به‌موقع بیماری‌ها ی کبدی تأثیر قابل‌توجهی در پیشگیری از عوارض
آن‌ها و همچنین کنترل و درمان بیماری دارد. یادگیری ماشینی یکی از شاخه‌های هوش مصنوعی است که …