Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf

Mortar

Kenjiro Jimbo,Takayuki Kinoshita, the classified output is fed to the multi-layer perceptron for optimized output. In the evaluation, the proposed hybrid EB-MLP hybrid classifier achieved an accuracy of 92.3%, precision 92.4%, recall 87.4% and execution time 0.028?s. which outperformed other classifiers under analysis.

JUST

啞巴

https://doi.org/10.1007/978-1-4613-0371-8e of various diabetic retinopathy and hypertensive retinopathy screening methodologies. The previously proposed techniques to detect hard exudates and retinal exudates are discussed in this present paper and the automated identification of hard exudates in hypertensive retinopathy is also discussed in the proposed paper.

杠桿支點(diǎn)

Occlusion

Boundary Layer Flow and Its Dual Solutions Over a Stretching Cylinder: Stability Analysisl solutions exist due to stretching cylinder and there is an unexpected increase of heat at the surface of the cylinder. Stability analysis of dual solutions is implemented to characterize the linearly stable and physically realizable solution.

語(yǔ)言學(xué)

Mathematical Modelling of Power Law Fluid Flow Through a Pipe and Its Rheologyarameter and pressure drop in velocity and temperature distribution. Likewise, graphs are marked for the above profiles. It has been observed that pressure drop helps in reducing the shear stress. Also, as power law parameter increases, velocity decreases.

1FAWN

碎片

An Ensemble Deep Learning Method for Diabetes Mellitus, the classified output is fed to the multi-layer perceptron for optimized output. In the evaluation, the proposed hybrid EB-MLP hybrid classifier achieved an accuracy of 92.3%, precision 92.4%, recall 87.4% and execution time 0.028?s. which outperformed other classifiers under analysis.

Pruritus

小口啜飲

Hard Exudates Detection: A Reviewe of various diabetic retinopathy and hypertensive retinopathy screening methodologies. The previously proposed techniques to detect hard exudates and retinal exudates are discussed in this present paper and the automated identification of hard exudates in hypertensive retinopathy is also discussed in the proposed paper.