Titlebook: Rising Threats in Expert Applications and Solutions; Proceedings of FICR- Vijay Singh Rathore,Subhash Chander Sharma,B. Sure Conference pro

痛苦一生

Rising Threats in Expert Applications and SolutionsProceedings of FICR-

積習(xí)已深

A Novel Approach for Detecting Online Malware Detection LSTMRNN and GRU Based Recurrent Neural Netwn real time environment in online cloud platform with no restriction and capture all behaviors of normal and benign applications. This model achieves higher detection rate of 99% over 42,480 datasets. Based on the ordering of input data, the performance varied.

BOLUS

Analytical Study of Augmented Reality Simulation System Application on Paintings,ine arts territory. This paper is about the process and analytical study of augmented reality simulations on paintings with conceptual thinking and its deliberation as a new media art in the international art market.

Irrigate

Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm,an moreover uncover understanding into the basic part that enables each malady type to suffer and thrive, which in this way help in the early revelation of the threatening development. We propose Apriori-Hybrid as an extemporized calculation for tumour characterization.

FLIT

evaculate

A Secure Framework for the Deployment of Microservices Using Cloud Container Technology,high compared with a monolithic application. This article describes the security vulnerabilities of containers for use in microservices and proposes a secure framework that enhances the isolation of containers.

否認(rèn)

Sparse Autoencoder and Deep Learning Based Framework for Multi-label Classification of Chronic Diseabel Powerset method is used to transform the problem from multi-label to multiclass classification problem. In third and the final stage, a deep learning architecture is applied. 80.85% of accuracy has been achieved by the proposed framework.

CAND

慢慢沖刷

Cloud Removal and Satellite Image Reconstruction Using Deep Learning Based Image Inpainting Approacand Generative Multi-column Convolutional Neural Networks) for the cloud removal in the satellite images. Image inpainting reconstructs an image with hole and fills the hole in such a way that it is not detectable. It maintains good global consistency with local fine textures. We evaluate our qualit

NEXUS

2367-3370 ence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences..978-981-19-1121-7978-981-19-1122-4Series ISSN 2367-3370 Series E-ISSN 2367-3389