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Now showing items 11-18 of 18
Hypertension Prediction Using Optimal Random Forest and Real Medical Data
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ...
The research on detection of crop diseases ranking based on transfer learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Crop diseases are a major global threat to food security. Because the lack of agriculture experts or necessary facilities, it is difficult to determine the type of disease, as well as the degree of disease in time, which ...
Stacking-based multi-objective ensemble framework for prediction of hypertension
(
Elsevier
, 2023 , Article)
Hypertension is a common health problem that is costly to treat, difficult to control, and frequently results in serious and fatal disorders like cardiovascular disease (CVD) and stroke. The main objective of this work was ...
Digital heritage enrichment through artificial intelligence and semanticweb technologies
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Art and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments ...
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data
(
Elsevier
, 2023 , Article)
As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although ...
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
(
IEEE Computer Society
, 2019 , Article)
The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...
Fuzzy multi-criteria lifecycle system maturity decision making based on an integrated Fuzzy AHP and VIKOR methodology
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
A wide range of maturity models for product lifecycle management are proposed to assess the relative position of companies on their road to complete lifecycle systems' implementation. However, it is a tough job for the ...
Optimal inconsistency repairing of pairwise comparison matrices using integrated linear programming and eigenvector methods
(
Hindawi Publishing Corporation
, 2014 , Article)
Satisfying consistency requirements of pairwise comparison matrix (PCM) is a critical step in decision making methodologies. An algorithm has been proposed to find a new modified consistent PCM in which it can replace the ...