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Now showing items 31-37 of 37
Computer aided diagnosis system based on machine learning techniques for lung cancer
(2012 , Conference Paper)
Cancer is a leading cause of death worldwide. Lung cancer is a type of cancer that is considered as one of the most leading causes of death globally. In Malaysia, it is the 3rd common cancer type and the 2nd type of cancer ...
Enhancing medical named entity recognition with an extended segment representation technique
(
Elsevier
, 2015 , Article)
Objective: The objective of this paper is to formulate an extended segment representation (SR) technique to enhance named entity recognition (NER) in medical applications. Methods: An extension to the IOBES (Inside/Outsi ...
Transport layer performance analysis and optimization for smart metering infrastructure
(
Elsevier
, 2014 , Article)
In a smart power grid, collecting data from a large number of smart meters and sensors over the conventional one-hop transmission control protocol (TCP) communication is prone to a high packet loss rate and degraded ...
Automated knowledge discovery in facility layout planning
(
International Business Information Management Association, IBIMA
, 2014 , Conference Paper)
This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ...
Cost effective assessment of transformers using machine learning approach
(
IEEE Computer Society
, 2014 , Conference Paper)
Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ...
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
(
Elsevier
, 2022 , Article)
Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...