ISBN-13: 9789811559730 / Angielski / Miękka / 2021 / 880 str.
ISBN-13: 9789811559730 / Angielski / Miękka / 2021 / 880 str.
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
Intelligent and cloud computing.- M-Throttled: Dynamic Load Balancing Algorithm for Cloud Computing.- iGateLink: A Generic Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments.- Part III: Wireless Sensor Networks (WSN).- Rivest Cipher 4 Cryptography and Elliptical curve cryptography Technique to Secure Data in Cloud.- A survey on various security issues for 5G mobile networks in WSN.- Genetic algorithm and probability based Leach variant Trust Management Model For WSNs.- EOQ model with backorder for items with imperfect quality using Cross Selling Effects.- A Deep Learning Approach for Classification of Pneumonia X-ray Image.- Pragmatic Study of CNN model and Different Parameter’s impact on it for the Classification of Diabetic Retinopathy.- Facial Expression Recognition System (FERS): A Survey.- An Efficient Clustering Mechanism for Wireless Sensor Network with Bottlenecks.- Survey on Hyper-parameter Optimization using Nature Inspired Algorithm of Deep Convolution Neural Network.- Performance analysis of ERWCA based FLANN model for Exchange rate forecasting.- An Intelligent Type-2 Fuzzy Based Uncertainty Reduction Technique in Mobile Ad-hoc Network.- Study of Cost-Sensitive Learning Methods on Imbalanced Datasets.- Game Theory based Optimal Decision Making System.- A static approach for access control with an application derived Intrusion System.- Cloud, Edge and Fog Computing in Healthcare.- A Survey on Transfer Learning.- A Novel Hybrid Feature Extraction Method with Least Squares SVM for Facial Expression Recognition.- A survey on energy awareness mechanisms in ACO based routing protocols for MANETs.- A Comprehensive Study of MeanShift and CamShift Algorithms for Real-Time Face Tracking.- Blockchain: Applications and Challenges in the industry.- Application of Big Data Problem Solving Framework in Healthcare Sector– Recent Advancement.- A GALA based Hybrid Gene Selection Model for Identification of Relevant Genes for Cancer Microarray Data.- A Brief Survey on Placement of Access Points in Ultra-dense Heterogeneous 5G Networks.- Qualitative Analysis of Recursive Search Algorithm : A Case Study.
Prof. (Dr.) Debahuti Mishra received her BE degree in Computer Science and Engineering from Utkal University, Bhubaneswar, India, in 1994; the M.Tech degree in Computer Science and Engineering from KIIT Deemed to be University, Bhubaneswar, Odisha, India, in 2006; and the Ph.D. degree in Computer Science and Engineering from Siksha O Anusandhan Deemed to be University, Bhubaneswar, India, in 2011. She is currently working as Professor and Head of the Department of Computer Science and Engineering, Fcaulty fo Engineering and Technology (ITER) Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India. Her research interests include data mining, data acquisition, bioinformatics, software engineering, soft computing and machine learning. She contributed five books and more than 150 research papers in many National and International journals and conferences and also nine Ph.D. scholars are awaded with Ph.D. degree under her supervision.
Dr. Srikanta Patnaik is a Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 25 Ph.D. Theses and more than 60 Master theses in the area of Computational Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published around 100 research papers in international journals and conference proceedings. He is author of 2 text books and 32 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc.. Dr. Patnaik is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Editors-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany, Book Series on Advances in Computer and Electrical Engineering (ACEE) and Book Series on Advances in Medical Technologies and Clinical Practices (AMTCP), published from IGI-Global, USA. He is Editor of Journal of Information and Communication Convegence Engineering, published by Korean Institute of Information and Communication Convegence Engineering. He is a also Associate Editor of International Journal of Cognitive Informatics and natural Intelligence (IJCINI), published by IGI-Global and International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS) published from Inderscience Publishing House, England.
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
1997-2024 DolnySlask.com Agencja Internetowa