IoT-based unobtrusive sensing for sleep quality monitoring and assessment

JY Kim, CH Chu, MS Kang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Aging population is a worldwide trend, which has created a societal crisis as many countries
face the challenges of supporting an aging population with increasing costs of healthcare …

[PDF][PDF] The utilization of naive bayes and C. 45 in predicting the timeliness of students' graduation

A Wibowo, D Manongga, HD Purnomo - Sci. J. Informatics, 2020 - academia.edu
An assessment of the success of a college is if the student's graduation rate is on time and
high every year. The timeliness of students' graduation can be influenced by several factors …

A hybrid CBR classification model by integrating decision tree and random forest into case retrieval

I Tarchoune, A Djebbar… - … on Networking and …, 2021 - ieeexplore.ieee.org
Due to the huge amount of medical data, which are stored in databases. The classification is
the most demanding task for automatic decision making. This paper presents the …

[PDF][PDF] Text Mining Methods for Biomedical Data Analysis

R Jabeen - 2021 - diva-portal.org
Biological data topic modelling has become a very prevalent topic among researchers in
recent times. However, analysing countless research papers and gathering consensus …

[PDF][PDF] Practical demand forecasting

LW van Someren - 2022 - thesis.eur.nl
In demand forecasting, historical data is often limited. In this thesis, we propose a method
that leverages unrecorded predecessor products to improve demand forecasts for current …

Improving learned decision trees with domain ontologies

M Llugiqi - 2022 - repositum.tuwien.at
Artificial Intelligence (AI) systems often build on machine learning techniques that learn from
a dataset in isolation, without relying on any common sense knowledge, or any knowledge …

[PDF][PDF] Verbesserung von Entscheidungsbäumen mit Domänen-Ontologien

M Llugiqi - scholar.archive.org
Systeme der künstlichen Intelligenz (KI) basieren häufig auf maschinellen Lernverfahren,
die allein aus einem Datensatz lernen, ohne sich auf Allgemeinwissen oder andere …

[PDF][PDF] Ekstrakcija pravil iz globokih nevronskih mrež

U Matjašec - 2020 - core.ac.uk
Kljub visoki napovedni tocnosti imajo globoke nevronske mreže veliko pomanjkljivost, ki jim
preprecuje široko uporabo v varnostnih in varnostno kriticnih sistemih, na primer v …