Titlebook: Computational Intelligence in Data Science; 5th IFIP TC 12 Inter Lekshmi Kalinathan,Priyadharsini R.,Manisha S. Conference proceedings 2022

啞巴

Factual Data Protection Procedure on IoT-Based Customized Medicament Innovations,delicate that it is not a medical profession, the safety and protection of medical data becomes a problem for the IoM. Thus, a user authentication protocol based on anonymity is chosen to solve problems in IoM about the security of privacy. A reliable and transparent facial recognition user identifi

祝賀

Deep Learning Based Covid-19 Patients Detection,information, corresponding degreed has gained zero terrorist organization.996 (95% CI: zero.989–1.00) Corona virus compared with Covid cases in each body Computed Tomography looks and determined 98% related affiliate qualifications associated with a minimum of 92%.

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BIPED

,Assessing Layer Normalization with?BraTS MRI Data in?a?Convolution Neural Net,achieve validation dice scores of unseen input data passes to LN based model of 0.90 (. higher than without normalization) for edema, 0.74 (. higher than without normalization) for non-enhancing tumor and 0.95 (.higher than without normalization) for enhancing tumor.

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孤僻

Classification and Prediction of Lung Cancer with Histopathological Images Using VGG-19 Architecturgn, Adenocarcinoma, or Squamous Cell Carcinoma, some pre trained deep neural networks such as VGG-19 were used. A database of 15000 histopathological images was used in which 5000 benign tissue images and 10000 malignant lung cancer-related images to train and test the classifier. The experimental r

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草率女

Allowance of Driving Based on Drowsiness Detection Using Audio and Video Processing, The second level verification process is based on detecting the facial expression of the drivers using the haar cascade classifier with OpenCV library in python. This process has the accuracy level of 95% in pre-driving drowsiness detection. The above levels are the two levels which are used detect

純樸

Identification and Classification of Groundnut Leaf Disease Using Convolutional Neural Network,racy. The accuracy of this model was as high as 96.50%. This research study can come up with an instance for the leaf disease identification of groundnut. The provided solution is a anecdote, scalable and accessible tool for the identification of disease and the management of diverse agricultural pl