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Smart Trends in Computing and Commun...
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Senjyu, Tomonoby.
Smart Trends in Computing and Communications: Proceedings of SmartCom 2020
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Smart Trends in Computing and Communications: Proceedings of SmartCom 2020/ edited by Yu-Dong Zhang, Tomonoby Senjyu, Chakchai SO–IN, Amit Joshi.
其他作者:
Joshi, Amit.
面頁冊數:
XIV, 509 p. 264 illus., 200 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Data Mining and Knowledge Discovery. -
電子資源:
https://doi.org/10.1007/978-981-15-5224-3
ISBN:
9789811552243
Smart Trends in Computing and Communications: Proceedings of SmartCom 2020
Smart Trends in Computing and Communications: Proceedings of SmartCom 2020
[electronic resource] /edited by Yu-Dong Zhang, Tomonoby Senjyu, Chakchai SO–IN, Amit Joshi. - 1st ed. 2021. - XIV, 509 p. 264 illus., 200 illus. in color.online resource. - Smart Innovation, Systems and Technologies,1822190-3026 ;. - Smart Innovation, Systems and Technologies,37.
Accurate Detection Of Facial Landmark Points Using Local Intensity Information For Emotion Detection -- Statistical Approach to Detect Alzheimer’s Disease and Autism Spectrum Related Neurological Disorder Using Machine Learning -- The Use of Mobile Apps to Facilitate Customers’ Choice-Making When Grocery Shopping -- Implementation of Best Hybrid Adaptive and Intelligent MIMO Detector on Reconfigurable Architecture for 5G LTE/ IoT Environment -- Data Encryption as Security Measure in IoT Enabled Healthcare -- Graph Degree Linkage Clustering for Identify Student’s Performance on Kompetisi Sains Madrasah in Indonesia -- Designing Memristor Based Timing Circuits and Performance Comparison with CMOS Counterparts -- Identify Elementary Student Distribution Based on Kompetisi Sains Madrasah Data Using Probabilistic Distance Clustering -- A review on Indian UID based automated electoral roll generation mechanism shunning duplication and redundancy -- Identify Education Quality Based on Islamic Senior High School Data in Kompetisi Sains Madrasah Using Fuzzy C-Means Clustering -- Obstacle Avoidance with Sensors using Soft Computing Techniques.
This book gathers high-quality papers presented at the International Conference on Smart Trends for Information Technology and Computer Communications (SmartCom 2020), organized by the Global Knowledge Research Foundation (GR Foundation) from 23 to 24 January 2020. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
ISBN: 9789811552243
Standard No.: 10.1007/978-981-15-5224-3doiSubjects--Topical Terms:
677765
Data Mining and Knowledge Discovery.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Smart Trends in Computing and Communications: Proceedings of SmartCom 2020
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Accurate Detection Of Facial Landmark Points Using Local Intensity Information For Emotion Detection -- Statistical Approach to Detect Alzheimer’s Disease and Autism Spectrum Related Neurological Disorder Using Machine Learning -- The Use of Mobile Apps to Facilitate Customers’ Choice-Making When Grocery Shopping -- Implementation of Best Hybrid Adaptive and Intelligent MIMO Detector on Reconfigurable Architecture for 5G LTE/ IoT Environment -- Data Encryption as Security Measure in IoT Enabled Healthcare -- Graph Degree Linkage Clustering for Identify Student’s Performance on Kompetisi Sains Madrasah in Indonesia -- Designing Memristor Based Timing Circuits and Performance Comparison with CMOS Counterparts -- Identify Elementary Student Distribution Based on Kompetisi Sains Madrasah Data Using Probabilistic Distance Clustering -- A review on Indian UID based automated electoral roll generation mechanism shunning duplication and redundancy -- Identify Education Quality Based on Islamic Senior High School Data in Kompetisi Sains Madrasah Using Fuzzy C-Means Clustering -- Obstacle Avoidance with Sensors using Soft Computing Techniques.
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