Intelligent systems = proceedings of...
International Conference on Machine Learning, Internet of Things, and Big Data ((2021 :)

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  • Intelligent systems = proceedings of ICMIB 2021 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Intelligent systems/ edited by Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao.
    其他題名: proceedings of ICMIB 2021 /
    其他題名: ICMIB 2021
    其他作者: Udgata, Siba K.
    團體作者: International Conference on Machine Learning, Internet of Things, and Big Data
    出版者: Singapore :Springer Nature Singapore : : 2022.,
    面頁冊數: xxxiii, 689 p. :ill., digital ;24 cm.
    內容註: GKEAE-Group Key Exchange and Authentication with ECC in Internet of Things -- PIDA Regulator For Frequency Limitation of Conventional Power Systems -- Synchronization and its use in Communication Network with Frequency Control -- A Comparative Analysis of Weekly Sales Forecasting using Regression Techniques -- Complex Network Visualization using Javascript: A Review -- A Novel Optimized Revenue Scheme in Finite Capacity SLA Aware Service Model in Fog Computing Environment -- Analysis of COVID-19 Data Through Machine Learning Techniques -- Ubiquitous Healthcare System using Recent ICT -- A Parallel Approach to Partition Based Frequent Pattern Mining Algorithm -- A Novel Task Offloading and Resource Allocation Scheme for Mist Assisted Cloud Computing Environment -- Analysis of Performance Characteristics of Social Wireless Sensor Networks -- Finite Element Analysis of an Optimised Sandwiched Spur Gear Set -- Predicting Missing Links in Gene Regulatory Networks using Network Embeddings: A Qualitative Assessment of Selective Embedding Techniques -- Prediction of Heart Diseases Using Soft Computing Technique -- An Architectural Framework to Manage Heterogeneous Emergencies -- Improving Navigational Parameters During Robot Motion Planning using SOMA Technique -- Review on Automated Detection of Covid-19 from X-Ray Images using Machine Learning -- Design and Analysis of a Biconcave DRA by using Machine Learning Algorithms for 5G Application -- An Approach for The Estimation of Rotor Position of PV Fed Switched Reluctance Motor Using ANFIS.
    Contained By: Springer Nature eBook
    標題: Machine learning - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-19-0901-6
    ISBN: 9789811909016
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