Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

An augmented artificial intelligence approach for chronic diseases prediction

J Rashid, S Batool, J Kim, M Wasif Nisar… - Frontiers in Public …, 2022 - frontiersin.org
Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

Retinal image analysis for diabetes-based eye disease detection using deep learning

T Nazir, A Irtaza, A Javed, H Malik, D Hussain… - Applied Sciences, 2020 - mdpi.com
Diabetic patients are at the risk of developing different eye diseases ie, diabetic retinopathy
(DR), diabetic macular edema (DME) and glaucoma. DR is an eye disease that harms the …

RETRACTED ARTICLE: Mitigating the Coexistence Technique in Wireless Body Area Networks By Using Superframe Interleaving

S Kanwal, J Rashid, J Kim, S Juneja… - IETE Journal of …, 2023 - Taylor & Francis
We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Analyzing consequences of artificial intelligence on jobs using topic modeling and keyword extraction

L Gaur, NZ Jhanjhi, S Bakshi… - 2022 2nd international …, 2022 - ieeexplore.ieee.org
Many are awestruck by the changes brought by Artificial Intelligence (AI). The ubiquitous
technology has created its place in the job market and is here to stay for years to come …

On the accuracy of fault diagnosis for rolling element bearings using improved DFA and multi-sensor data fusion method

Q Song, S Zhao, M Wang - Sensors, 2020 - mdpi.com
Rolling element bearings are widely employed in almost every rotating machine. The health
status of bearings plays an important role in the reliability of rotating machines. This paper …

Unsupervised learning and natural language processing highlight research trends in a superbug

CF Méndez-Cruz, J Rodríguez-Herrera… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction Antibiotic-resistant Acinetobacter baumannii is a very important nosocomial
pathogen worldwide. Thousands of studies have been conducted about this pathogen …

Review of survey research in fuzzy approach for text mining

YW Lai, MY Chen - Ieee Access, 2023 - ieeexplore.ieee.org
Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …

A topic coverage approach to evaluation of topic models

D Korenčić, S Ristov, J Repar, J Šnajder - IEEE access, 2021 - ieeexplore.ieee.org
Topic models are widely used unsupervised models capable of learning topics–weighted
lists of words and documents–from large collections of text documents. When topic models …

A novel multiple kernel fuzzy topic modeling technique for biomedical data

J Rashid, J Kim, A Hussain, U Naseem, S Juneja - BMC bioinformatics, 2022 - Springer
Background Text mining in the biomedical field has received much attention and regarded
as the important research area since a lot of biomedical data is in text format. Topic …