Data classification using rough set and bioinspired computing in healthcare applications-an extensive review
N Kumari, DP Acharjya - Multimedia Tools and Applications, 2023 - Springer
The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …
healthcare organizations are concentrating more on physical health of people in terms of …
Fuzzy intelligence learning based on bounded rationality in IoMT systems: a case study in Parkinson's disease
C Zhang, J Ding, J Zhan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a cause of interfering with routine activities, freezing of gait (FOG) is a severe syndrome
of Parkinson's disease (PD) and usually performs as an abrupt and momentary inability to …
of Parkinson's disease (PD) and usually performs as an abrupt and momentary inability to …
Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques
Pyrolysis, as a thermochemical conversion of biomass, is a superior biofuel production
procedure. The determining procedure for the optimal operational parameters, biomass …
procedure. The determining procedure for the optimal operational parameters, biomass …
[HTML][HTML] Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC)
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes
development of various retinal abrasions in the human retina. These lesions cause …
development of various retinal abrasions in the human retina. These lesions cause …
[HTML][HTML] Optimizing microarray cancer gene selection using swarm intelligence: Recent developments and an exploratory study
Microarray data represents a valuable tool for the identification of biomarkers associated
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …
Intelligent Latency-aware tasks prioritization and offloading strategy in Distributed Fog-Cloud of Things
Offloading the dynamic tasks with fog computing is envisioned as a viable option for
prolonging resource-limited constraints and improving the computational and …
prolonging resource-limited constraints and improving the computational and …
[HTML][HTML] MobiRes-net: a hybrid deep learning model for detecting and classifying olive leaf diseases
The Kingdom of Saudi Arabia is considered to be one of the world leaders in olive
production accounting for about 6% of the global olive production. Given the fact that 94% of …
production accounting for about 6% of the global olive production. Given the fact that 94% of …
[HTML][HTML] EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation
S Pan, X Liu, N Xie, Y Chong - BMC bioinformatics, 2023 - Springer
Although various methods based on convolutional neural networks have improved the
performance of biomedical image segmentation to meet the precision requirements of …
performance of biomedical image segmentation to meet the precision requirements of …
[HTML][HTML] Identification of olive leaf disease through optimized deep learning approach
The production of olives in Saudi Arabia, which accounts for around 6% of worldwide output,
is regarded as one of the best in the world. Because olive trees are rain-fed and produced …
is regarded as one of the best in the world. Because olive trees are rain-fed and produced …
A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural …
In this paper, a new method has been proposed to optimize the hyper parameters in Deep
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …