Titlebook: Innovations in Computer Science and Engineering; Proceedings of the T H. S. Saini,Rishi Sayal,Rajkumar Buyya Conference proceedings 2023 Th

Commonplace

An Investigation on the Detection of Intrusions into a Network Using Convolutional Neural Networks,nature- based intrusion detection system are becoming more evident. In order to solve this problem, machine learning research on constructing automated network intrusion detection system (NIDS) is being actively conducted. NIDS model research using the convolution neural network (CNN) algorithm is c

deciduous

Hybrid Binary Whale Optimization Algorithm for Feature Selection Optimization Problem,algorithm (WOA) is suggested in this article. The original PSOWOA is a hybrid algorithm that takes advantage of both PSO and WOA abilities. Although the higher performance, the initial hybrid solution is ideal for ongoing search space challenges. However, the selection of the feature is a binary tas

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Transfer Learning for Arabic Question-Answering,er issues of topic classification that study matter and subjective text classification like sentiment and emotion classification dealing with the present state of affairs. This paper focuses on the problem of the Arabic question-answering by applying several machine learning (ML) methods. The latter

COST

Smart Healthcare System to Predict Ailments Based on Preliminary Symptoms,rogressively come into focus. In this paper, we have proposed and implemented a system that aids in the prediction and diagnosis of four medical ailments. The purpose of the proposed system is to make technology more useful in solving problematic healthcare challenges. By using this technology, we c

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intrigue

outset

Machine Learning-Based Mortality Prediction of COVID-19 Patients,n of resources, and hence for lowering death rates, especially in underdeveloped countries. Many characteristics related to patients that influence illness severity, such as pre-existing comorbidities, can be employed to improve this prediction. Finding a biomarker which helps to identify individual

浮雕

Smart Computer Monitoring System Using Neural Networks,oring system based on Internet of things and neural network algorithm is proposed. Firstly, the basic functions and development status of the computer monitoring system are analyzed. Then, based on the study of the three-tier architecture and key technologies of the Internet of things, and based on

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Freeze

Malicious Domain Detection Using Memory Augmented Deep Autoencoder,riod of time. When APT assaults occur in a dynamic and sophisticated infrastructure like the cloud, traditional techniques of detection are difficult. The research offers an autoencoder-based deep learning methodology for recognizing the probable phases in the APT lifecycle to address the limitation