[HTML][HTML] An improved explainable artificial intelligence tool in healthcare for hospital recommendation
YC Wang, TCT Chen, MC Chiu - Healthcare Analytics, 2023 - Elsevier
Artificial intelligence (AI) technologies have been widely applied in medicine and
healthcare. Explainable AI (XAI) has been proposed to make AI applications more …
healthcare. Explainable AI (XAI) has been proposed to make AI applications more …
A software framework for predicting the maize yield using modified multi-layer perceptron
S Ahmed - Sustainability, 2023 - mdpi.com
Predicting crop yields is one of agriculture's most challenging issues. It is crucial in making
national, provincial, and regional choices and estimates the government to meet the food …
national, provincial, and regional choices and estimates the government to meet the food …
[HTML][HTML] Complex methods detect anomalies in real time based on time series analysis
AS Alghawli - Alexandria Engineering Journal, 2022 - Elsevier
Real time anomaly detection is important to performance and efficiency in many areas. This
paper offers a complex method for detecting abnormal telecommunication traffic. The …
paper offers a complex method for detecting abnormal telecommunication traffic. The …
Enhancing the sustainability of smart healthcare applications with XAI
TCT Chen - Sustainable Smart Healthcare: Lessons Learned from …, 2023 - Springer
This chapter first mentions three ways to enhance the sustainability of smart healthcare
applications. Then, our experience from the COVID-19 pandemic tells us that the three goals …
applications. Then, our experience from the COVID-19 pandemic tells us that the three goals …
Analysis of anomaly detection and identification methods in 5G traffic
Anomaly detection is an important task in 5G technology and many other areas of human
life. In this paper, statistical methods of data analysis, such as survival analysis, time series …
life. In this paper, statistical methods of data analysis, such as survival analysis, time series …
Unveiling anomalies: a survey on XAI-based anomaly detection for IoT
E EREN, F YILDIRIM OKAY… - Turkish Journal of …, 2024 - journals.tubitak.gov.tr
In recent years, the rapid growth of the Internet of Things (IoT) has raised concerns about the
security and reliability of IoT systems. Anomaly detection is vital for recognizing potential …
security and reliability of IoT systems. Anomaly detection is vital for recognizing potential …
Towards a more sustainable anomaly detection: new methods and practical applications
J Meira - 2023 - ruc.udc.es
Anomaly detection is a critical problem in many fields, with applications ranging from
intrusion detection to fault diagnosis and predictive maintenance. Unsuper-vised methods …
intrusion detection to fault diagnosis and predictive maintenance. Unsuper-vised methods …
Sustainable Smart Healthcare
TCT Chen - Springer
Sustainable Smart Healthcare Page 1 SpringerBriefs in Applied Sciences and Technology
Tin-Chih Toly Chen Sustainable Smart Healthcare Lessons Learned from the COVID-19 …
Tin-Chih Toly Chen Sustainable Smart Healthcare Lessons Learned from the COVID-19 …
Дослідження і порівняння методів класифікації реалізації трафіків для детектування DDOS-АТАК
СО Гонтар - 2021 - openarchive.nure.ua
Анотація Об'єктом дослідження є набір атакованого трафіку. Метою дослідження є
вивчення та реалізація методів класифікації для виявлення DDoS-атак. У ході …
вивчення та реалізація методів класифікації для виявлення DDoS-атак. У ході …
ВИЯВЛЕННЯ АНОМАЛІЙ В ТЕЛЕКОМУНІКАЦІЙНОМУ ТРАФІКУ СТАТИСТИЧНИМИ МЕТОДАМИ
T Radivilova, L Kirichenko… - … освіта, наука, техніка …, 2021 - csecurity.kubg.edu.ua
Анотація Виявлення аномалій є важливим завданням у багатьох сферах людського
життя. Для виявлення аномалій використовується множина статистичних методів. У …
життя. Для виявлення аномалій використовується множина статистичних методів. У …