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Mobile Computing and Sustainable Informatics

Mobile Computing and Sustainable Informatics

Hot Research Book in Mobile Computing and Sustainable Informatics

Author(s) Name:  Subarna Shakya, Robert Bestak, Ram Palanisamy, Khaled A. Kamel

About the Book:

   This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021.
   The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.

Table of Contents

  • Mitigating the Latency Induced Delay in IP Telephony Through an Enhanced De-Jitter Buffer
  • A Cyber-Safety IoT-Enabled Wearable Microstrip Antenna for X-Band Applications
  • Keyword Recognition from EEG Signals on Smart Devices a Novel Approach
  • Security Analysis for Sybil Attack in Sensor Network Using Compare and Match-Position Verification Method
  • Certain Strategic Study on Machine Learning-Based Graph Anomaly Detection
  • Machine Learning Perspective in VLSI Computer-Aided Design at Different Abstraction Levels
  • A Practical Approach to Measure Data Centre Efficiency Usage Effectiveness
  • MDTA: A New Approach of Supervised Machine Learning for Android Malware Detection and Threat Attribution Using Behavioral Reports
  • Investigating the Role of User Experience and Design in Recommender Systems: A Pragmatic Review
  • A Review on Intrusion Detection Approaches in Resource-Constrained IoT Environment
  • Hybrid Approach to Cross-Platform Mobile Interface Development for IAAS
  • An Experimental Investigation of PCA-Based Intrusion Detection Approach Utilizing Machine Learning Algorithms
  • OpenFlow-Based Dynamic Traffic Distribution in Software-Defined Networks
  • A Comparative Study of Classification Algorithms Over Images Using Machine Learning and TensorFlow
  • Intelligent Routing to Enhance Energy Consumption in Wireless Sensor Network: A Survey
  • Deep Residual Learning for Facial Emotion Recognition
  • A Review on Various Routing Protocol Designing Features for Flying Ad Hoc Networks
  • Parkinson-s Disease Data Analysis and Prediction Using Ensemble Machine Learning Techniques
  • Modeling and Simulation of 1 × 4 Linear Phased Array Antenna Operating at 2.45 GHz in ISM Band Applications
  • Execution Improvement of Intrusion Detection System Through Dimensionality Reduction for UNSW-NB15 Information
  • Weight Optimization in Artificial Neural Network Training by Improved Monarch Butterfly Algorithm
  • Deep Learning Modeling Using Normal Mammograms for Predicting Breast Cancer
  • A Survey on Wireless Sensor Networks and Instrumentation Techniques for Smart Agriculture
  • BER Performance Comparison Between Different Combinations of STBC and DCSK of Independent Samples and Bits of Message Signal
  • ISBN:  978-981-16-1866-6

    Publisher:  Springer Publisher

    Year of Publication:  2021

    Book Link:  Home Page Url