Titlebook: Computing Science, Communication and Security; First International Nirbhay Chaubey,Satyen Parikh,Kiran Amin Conference proceedings 2020 Sp

音乐戏剧

deciduous

亲密

小溪

Prediction of Lung Cancer Using Machine Learning Classifiery for early prediction of the diseases with accurate data analysis. In our paper we have analyzed various machine learning classifiers techniques to classify available lung cancer data in UCI machine learning repository in to benign and malignant. The input data is prepossessed and converted in to b

LEERY

A Rule-Based Expert System to Assess Coronary Artery Disease Under Uncertainty. Performance evaluation is measured by calculating the success rate, error rate, failure rate and false omission rate. The proposed RBES has higher a success rate and false omission rate than other existing CDSSs.

aerobic

Ponte Message Broker Bridge Configuration Using MQTT and CoAP Protocol for Interoperability of IoThe interoperable communication mechanism also depends on communication protocols and its communication models used at application layer. Major devices use MQTT, CoAP, RestAPI, AMQP and HTTP protocols at application layer for communication. This paper is intended to describe interoperability types an

nerve-sparing

小虫

https://doi.org/10.1007/b137482ign, automatic furniture fitting, property cost estimation, etc. Several approaches already exist on the market. Many of them are using just statistical or deep machine learning methods capable of recognizing a limited set of floor plan types or providing a semi-automatic tool for recognition. This

Immortal

万神殿

https://doi.org/10.1007/b137482trieval (CBIR) technique is essential in the domain of image retrieval. Due to the growing medical image data, the searching or retrieving a relevant image from the dataset is a major problem. To address this problem, this paper propose a new medical image retrieval technique, namely Multiple Kernel