International Conference on Innovative Computing and Communications : Proceedings of ICICC 2022, Volume 1 / edited by Deepak Gupta, Ashish Khanna, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal.

Format:

Book

Contributor:

Gupta, Deepak, Ph.D., editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 473

Language:

English

Subjects (All):

Telecommunication.

Internet of things.

Machine learning.

Artificial intelligence.

Communications Engineering, Networks.

Internet of Things.

Machine Learning.

Artificial Intelligence.

Local Subjects:

Communications Engineering, Networks.

Internet of Things.

Machine Learning.

Artificial Intelligence.

Physical Description:

1 online resource (793 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Contents:

Constructing Interval Type-2 Fuzzy Systems (IT2FS) with Memetic Algorithm: Elucidating Performance with Noisy Data

Secure Environment Establishment for Multipath Routing

Comparative Analysis of Transfer Learning and Attention Driven Memory based Learning for Covid-19 Fake News Detection

Review on Edge Computing Assisted D2D Networks

Open Daylight SDN and NFV Integration in OpenStack Cloud: Open Source Approach for Improving Network Services

K-MNSOA: K-Anonymity Model for Privacy in the Presence of Multiple Numerical Sensitive Overlapped Attributes

Modelling 5G Data using Tree based Machine Learning Models

A Novel Technique to Detect Inappropriate Content Accessed by Children on Smartphone

Cold-Start and Data Sparsity Problems in Recommender System: A Concise Review

A Hybrid Approach to Find COVID-19 Related Lung Infection Utilizing 2 Bit Image Processing

Acute Leukemia Classification and Prediction in Blood Cells using Convolution Neural Network

Process Based Multi-Level Homogeneous Ensemble Predictive Model for Analyzing Student’s Academic Performance

Exposure of Sensitive Data through Blockchain Wallets: A Comparative Analysis

Classification of Sentiment Reviews for Indian Railways Using Machine Learning Methods

A Review on Community Detection Using Deep Neural Networks with Enhanced Learning.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Gupta, Deepak International Conference on Innovative Computing and Communications

ISBN:

981-19-2821-5