Healthcare data analysis using deep learning paradigm

KR Devi, S Suganyadevi, K Balasamy - Deep Learning for Cognitive …, 2023 - degruyter.com
In the present decades, analysis of healthcare domain plays a significant role for research
purposes and it depends more on computer technology. The analysis of medical data is one …

A comparative text classification study with deep learning-based algorithms

Ö Köksal, Ö Akgül - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
As a well-known Natural Language Processing (NLP) task, text classification can be defined
as the process of categorizing documents depending on their content. In this process …

Analysis of whether news on the Internet is real or fake by using deep learning methods and the TF-IDF algorithm

T Korkmaz, A Çetinkaya, H Aydın… - … and Engineering Journal, 2021 - dergipark.org.tr
Internet use has become increasingly widespread nowadays. In addition, there is a
significant increase in the amount of text content produced in digital media. However, the …

LogCSS: Log anomaly detection based on BERT-CNN with context-semantics-statistics features

Z Li, X Tu, H Gao, S Huang… - Journal of Intelligent & …, 2024 - content.iospress.com
With the development of artificial intelligence, deep-learning-based log anomaly detection
proves to be an important research topic. In this paper, we propose LogCSS, a novel log …

Kronik Böbrek Hastalığının Long Short-Term Memory Ağları İle Sınıflandırılması.

S Çelik, MŞ Çeşmeli - Turkish Studies-Economics, Finance …, 2022 - search.ebscohost.com
Today, developing technology is used in the field of health as well as in every field. It is seen
that very successful results are obtained especially with the use of deep learning …

Konvolusyonel sinir ağları kullanarak Türkçe metinler için cümle sınıflandırması

G Pirana - acikbilim.yok.gov.tr
Bu çalışmada derin öğrenme ve makine öğrenmesi yöntemleri kullanılarak cümle
sınıflandırma problemi ele alınmıştır. Çalışmanın amacı, Konvolüsyonel Sinir Ağları (CNN …