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Machine learning, advances in comput...

International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication ((2020 :)

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Machine learning, advances in computing, renewable energy and communication = proceedings of MARC 2020 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning, advances in computing, renewable energy and communication/ edited by Anuradha Tomar ... [et al.].
其他題名:	proceedings of MARC 2020 /
其他題名:	MARC 2020
其他作者:	Tomar, Anuradha.
團體作者:	International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xv, 659 p. :ill., digital ;24 cm.
內容註:	Control Plane Systems Tracing and Debugging Existing Problems and Proposed Solution -- Distribution Expansion Planning in a Deregulated Environment -- Density Based Traffic Override Control System -- Reactive Power Pricing Framework in Maharashtra -- Design Optimization of Solar Thermal Energy Storage Tank: Using the Stratification Coefficient -- Investigation of Hydro Energy Potential and its Challenges in Himalayan State: Uttarakhand -- Big Data Preprocessing Phase in Engendering Quality Data -- Performance Evaluation of Sliding Mode Control for Under Actuated Systems based on Decoupling Algorithm -- Fuzzy Logic based Range Free Localization in WSN -- Analysis of Algorithms in Medical Image Processing -- Technoeconomic Feasibility and Sensitivity Analysis of Off Grid Hybrid Energy System -- Improving QoS of Cloudlet Scheduling via Effective Particle Swarm Model -- Optimal Planning of Green Hybrid Microgrid in Power Industry -- Effect of Loss Functions on Language Models in Question Answering Based Generative Chat-Bots -- Modeling and Implementation of Statechart for MPPT Control of Photovoltaic System in FPGA -- A Detailed Analysis of Adaptive Kernel Density-Based Outlier Detection in Volatile Time-Series.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-16-2354-7
ISBN:	9789811623547

Machine learning, advances in computing, renewable energy and communication = proceedings of MARC 2020 /
Machine learning, advances in computing, renewable energy and communicationproceedings of MARC 2020 /[electronic resource] :MARC 2020edited by Anuradha Tomar ... [et al.]. - Singapore :Springer Singapore :2022. - xv, 659 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 7681876-1119 ;. - Lecture notes in electrical engineering ;v. 768..

Control Plane Systems Tracing and Debugging Existing Problems and Proposed Solution -- Distribution Expansion Planning in a Deregulated Environment -- Density Based Traffic Override Control System -- Reactive Power Pricing Framework in Maharashtra -- Design Optimization of Solar Thermal Energy Storage Tank: Using the Stratification Coefficient -- Investigation of Hydro Energy Potential and its Challenges in Himalayan State: Uttarakhand -- Big Data Preprocessing Phase in Engendering Quality Data -- Performance Evaluation of Sliding Mode Control for Under Actuated Systems based on Decoupling Algorithm -- Fuzzy Logic based Range Free Localization in WSN -- Analysis of Algorithms in Medical Image Processing -- Technoeconomic Feasibility and Sensitivity Analysis of Off Grid Hybrid Energy System -- Improving QoS of Cloudlet Scheduling via Effective Particle Swarm Model -- Optimal Planning of Green Hybrid Microgrid in Power Industry -- Effect of Loss Functions on Language Models in Question Answering Based Generative Chat-Bots -- Modeling and Implementation of Statechart for MPPT Control of Photovoltaic System in FPGA -- A Detailed Analysis of Adaptive Kernel Density-Based Outlier Detection in Volatile Time-Series.

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17-18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

ISBN: 9789811623547

Standard No.: 10.1007/978-981-16-2354-7doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2020

Dewey Class. No.: 006.31

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