Intelligent Data Engineering and Analytics : Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021)

著者名：Satapathy, Suresh Chandra (EDT)/Peer, Peter (EDT)/Tang, Jinshan (EDT)/Bhateja, Vikrant (EDT)/Ghosh, Anumoy (EDT)

Springer（2022/02/28発売）

• 言語：ENG
• ISBN：9789811666230
• eISBN：9789811666247

Description

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. 

This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. 

Table of Contents

 Automated Flower Species Identification by using Deep convolution neural network.- Information Retrieval for Cloud Forensics.- Machine Translation System Combination with Enhanced Alignments using Word Embeddings.- Geometry Based Machining Feature Retrieval with Inductive Transfer Learning.- Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture.- Usage of Block Chain Technology in e-Voting System using Private Block Chain.- Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning.- Deep Learning based Mosquito Species detection using Wingbeats frequencies.- Developments in Capsule Network Architecture: A Review.- Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives.- Image GPT with Super Resolution.