Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/autre/data-engineering-and-intelligent-computing/descriptif_4696119
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=4696119

Data Engineering and Intelligent Computing, 1st ed. 2021 Proceedings of ICICC 2020 Advances in Intelligent Systems and Computing Series, Vol. 1407

Langue : Anglais

Coordonnateurs : Bhateja Vikrant, Satapathy Suresh Chandra, Travieso-González Carlos M., Aradhya V. N. Manjunath

Couverture de l’ouvrage Data Engineering and Intelligent Computing
This book features a collection of high-quality, peer-reviewed papers presented at the Fourth International Conference on Intelligent Computing and Communication (ICICC 2020) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 18?20 September 2020. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
Chapter 1.Heuristic approach to Detect Pectoral Muscle & Nipple in Mammogram for Computer Aided Diagnosis.- Chapter 2. Design of LSTM-CNN with Feature Map Merge for Crime Scene Detection in CCTV Footage.- Chapter 3. Malware family classification model using convolutional neural network.- Chapter 4. Malware and benign detection using convolutional neural network.- Chapter 5. An Evaluation and Validation of Contemporary Approaches in Scene Text Extraction and Recognition.- Chapter 6. Sentiment analysis for movie ratings using deep learning.- Chapter 7. Subject Noncontingent EEG based Emotion Detection using Deep Learning Algorithm.- Chapter 8. Performance Analysis of Dijkstra’s and the A-Star Algorithm on an Obstacle Map.- Chapter 9. Automated Microaneurysms Detection in Fundus Images for early diagnosis of Diabetic Retinopathy.- Chapter 10. Plant health report through advanced convolution neural network methodology.

Vikrant Bhateja is Associate Professor, Department of Electronics & Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, and also Head (Academics & Quality Control) in the same college. He completed his doctorate in Bio-Medical Imaging & Signal Processing and has a total academic teaching experience of 16 years with around 125 publications in reputed international conferences, journals and online book chapter contributions. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. Dr. Vikrant has edited 15 proceeding books/editorial volumes with Springer Nature. He is Editor-in-Chief of IGI Global—International Journal of Natural Computing and Research (IJNCR).  He is also Associate Editor in International Journal of Synthetic Emotions (IJSE) and International Journal of Ambient Computing and Intelligence (IJACI) under IGI Global press. He is Guest Editor of Special Issues in reputed Scopus/SCIE indexed journals under Springer Nature: “Evolutionary Intelligence” and “Arabian Journal of Science and Engineering”. 


Suresh Chandra Satapathy is, a Ph.D. in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also Senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 Book Volumes from Springer LNCS, AISC, LNEE and SIST Series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) publish

Presents recent innovative research in the field of communication, network, and IoT Discusses results of ICICC 2020 organized in Bengaluru, India, during September 2020 Serves as a reference for young scholars, researchers, and industry professionals

Date de parution :

Ouvrage de 641 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

210,99 €

Ajouter au panier

Thème de Data Engineering and Intelligent Computing :