A Study of the Correlation between Internet Addiction and Aggressive Behavior Among the Namibian University Students
An efficient model for outlier detection in time series dataset using clustering approach
Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR
E-ALIVE: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care
An Effective TCP's Congestion Control Approach for Cross Layer Design in MANET
A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications
Baron-Cohen Model based Personality Classification using Ensemble Learning
Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs
Review on Internet Traffic Sharing using Markov Chain Model in Computer Network
Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier
Anomaly detection using Dynamic Sliding Window in Wireless Body Area Networks
Scalable Privacy preservation in Big Data with Cloud Service Access
Effective Healthcare Services by IoT based Model of Voluntary Doctors
Multi Layer Architectures for SQLI Detection and Prevention in Web Application Development
Emotional State Recognition with EEG signals using Subject Independent Approach
Development of Early Prediction Model for Epileptic Seizures
Research Issue in data Anonymization in Electronic Health Service: A survey
Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework
Novel outlier detection by integration of clustering and classification
A Study on Benefits of Big Data for Retail Industry
Protection of User Information by using Modified Data Copy Technique in Data Mining
Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET
Load Balancing using Amazon Cloud Services
A Review of Wireless Charging Nodes in Wireless Sensor Networks
Leeway of Lean concept to optimize Bigdata in manufacturing industry: An exploratory review
NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors
Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence
An efficient Context-aware Music Recommendation based on Emotion and Time Context
Locating and Detecting Nipple for Pornographic Image Identification
Implementation of Improved Energy Efficient FIR Filter using Reversible Logic
A Study on benefits of Big data for healthcare sector of India
Handling Uncertainty in Linguistics using Probability Theory
Review of Quality of Service based Techniques in Cloud Computing
Skyline Computation for Big Data
Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET
Human Face Detection Enabled Smart Stick for Visually Impaired People
Web Based Service Recommendation System by Considering User Requirements
Optimal Energy Conservation for Route Selection to improve in MANET
Unsupervised Machine Learning for Clustering the Infected Leaves based on the Leaf-colours
Real Time Big Data Analysis Architecture and Application
Missing Value Imputation in Medical Records for Remote Healthcare
Reliable Data Discovery with Two Ray Ground Way on DSR Routing in MANET
Secure vehicular communication using Road side unit (RSU) trust management scheme
Recommendation Framework for Diet and Exercise based on Clinical Data: A Systematic Review
Predictive Models for R
About the Author:
Dr. Durgesh Kumar Mishra is a Professor (CSE) and Director of the Microsoft Innovation Centre at Sri Aurobindo Institute of Technology, Indore, India and visiting faculty at IIT-Indore. He has 24 years of teaching and 12 years of research experience. He has published more than 90 papers in refereed international/national journals and conferences including IEEE, ACM conferences and organized many conferences as General Chair and Editor. He is a Senior Member of the IEEE, CSI, ACM, Chairman IEEE MP Subsection, IEEE Computer Society Bombay Chapter. At present he is Chairman of CSI Division IV Communication at the National Level and ACM Chapter Rajasthan and MP State.
Prof. Xin-She Yang is an Associate Professor of Simulation Modelling at Middlesex University, London. Prof. Yang's main interests are applied mathematics, algorithm development, computational intelligence, engineering optimisation, mathematical modelling, optimisation and swarm intelligence. His research projects have been supported by the National Measurement Office, BIS, Southwest Development Agency (UK), Euro Met, EPSRC, NPL, and the National Science Foundation of China. He is EEE CIS Task Force Chair of the BIKM, Technical Committee of Computational Finance and Economics of IEEE Computational Intelligence Society; Advisor to the International Journal of Bio-Inspired Computation; Editorial Board Member of Elsevier's Journal of Computational Science; and Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimisation.
Dr. Aynur Unal is a Strategic Adviser & Visiting Full Professor at the IIT Guwahati, India. She has created a product-focused engineering program using the cloud-based infrastructure. Her main interests include Ecologically and socially responsible engineering, Zero waste Initiative and Sustainable Green Engineering. Her research focuses on both rural and urban sustainable development, renewable energy, solar towers and pumps. She has taught at Stanford University, and worked in Silicon Valley to develop products for data mining from big data (Triada's Athena I & II), Collaborative Design and Manufacturing, secure and private communication, and collaboration software platforms (Amteus, listed in LSE AIM)
