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Predictive analytics for mortality: FSRNCA-FLANN modeling using public health inventory records
Predictive analytics involves the use of Artificial Intelligence (AI) and Machine Learning (ML)
techniques to analyze current and historical data, identify patterns, and make predictions …
techniques to analyze current and historical data, identify patterns, and make predictions …
Adaptive comprehensive particle swarm optimisation‐based functional‐link neural network filtre model for denoising ultrasound images
Multiplicative speckle is a dominant type of noise that spoils the inherent features of the
medical ultrasound (US) images. Apart from the speckle, impulse and Gaussian noises also …
medical ultrasound (US) images. Apart from the speckle, impulse and Gaussian noises also …
[PDF][PDF] Adjustable mode ratio and focus boost search strategy for cat swarm optimization
Evolutionary algorithm is one of the optimization techniques. Cat swarm optimization (CSO)-
based algorithm is frequently used in many applications for solving challenging optimization …
based algorithm is frequently used in many applications for solving challenging optimization …
Drowsiness image detection using computer vision
Drowsiness of the driver is the significant cause of the road accidents. The need of the hour
is to come up with some measures to control it, and our prototype helps us to achieve that …
is to come up with some measures to control it, and our prototype helps us to achieve that …
Computer-Aided Cataract Detection Using MLP and SVM
The eye is a significant organ in the human body. It includes interconnected subsystems like
the lens, iris, retina, cornea, and optic nerve. There are many ocular disorders associated …
the lens, iris, retina, cornea, and optic nerve. There are many ocular disorders associated …
Multi-channel FLANN adaptive filter for speckle & impulse noise elimination from color Doppler ultrasound images
The conventional fixed filters cannot be employed for removing the mixed noise of Color
Doppler Ultrasound (CDUS) images because it affects the features of the image awkwardly …
Doppler Ultrasound (CDUS) images because it affects the features of the image awkwardly …
[PDF][PDF] Soft Computing Approaches for Ovarian Cancer: A Review
In the current circumstances, accessing the application is benefiting the medical profession
in many ways. The classification and clustering algorithms are among the strategies that …
in many ways. The classification and clustering algorithms are among the strategies that …
[SITAATTI][C] Advanced Applications of Soft Computing Research
SK Shandilya, AK Nagar - Current Medical Imaging, 2020 - ingentaconnect.com
Soft computing refers to a collection of imprecision-tolerant techniques which can fairly deal
with uncertainty, partial truth, and approximation. The basic constituents of soft computing …
with uncertainty, partial truth, and approximation. The basic constituents of soft computing …