Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Tomonobu Senjyu,Chakchai So–In,Amit Joshi Conference proceedings 2023 Th

外表读作

Fulsome

Semi-Supervised Medical Image Segmentation on Data from Different Distributions,on is that it allows for a more accurate In order to separate brain tumors on the Brats2019 dataset, we will use Mean Teacher, a straightforward method for semi-supervised learning, with the 3D-Unet backbone network.

改变立场

北极人

A Secure Protocol for Authentication and Data Storage for Healthcare System,osed work using Scyther—an automated security protocol verification tool. In the healthcare habitat, our outcome delivers an adequate means to form a medium skilled in setting up, registering, storing, retrieving, authenticating, and verifying electronic healthcare data to protect patients’ personal information.

创新

,Classification of Traffic Signal Images Using Deep Neural Networks,classify road signs, namely, fine-tuned Convolutional Neural Network (CNN) and Resnet50. The two architectures were trained using the GTSRB—German Traffic Sign Recognition Benchmark downloaded from Kaggle. With these models, we have obtained good results of 98% and 75% respectively.

错

Wine Quality Prediction Using Machine Learning Techniques,e to analyze the quality of wine. This paper explores different machine learning algorithms which are cost-friendly and easy to use. A model has been developed using Random Forest Classifier which can indicate the quality of wine as bad or good. This type of prediction can be applied to different other products and makes human work easier.

HEW

Deep Learning Framework for Liver CT Image Segmentation and Risk Prediction,d also estimating associated risk. For our experimentation, we have used LITS dataset for tumor detection and patients’ specific details for risk prediction. Various ML techniques have been explored to identify most suitable one for complementing oncologists and medical professionals in the treatment process of this lethal disease.

Endearing

Immunotherapy

A Study on Cross Site Scripting Attacks,se in health management, investment, and even emergency response. They must, accordingly, incorporate, apart from the bulged value they supply to their consumers, trustworthy security procedures. In this work, we study various cross-site scripting threats against web applications.

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