Cyber Technologies and Emerging Sciences

A Novel Meta-classifier Framework Approach for Land Use Land Cover Classification2.- Survey of Surveillance of Suspicious Behavior from CCTV Video recording.- Security Attacks, Requirements and Simulative Analysis of QoS in WSN.- Breast Cancer Prediction Using Greedy Optimization and Enlarge C4.5.- Meta-Analysis of Nature Inspired Hybrid Cuckoo Algorithm.- Investigating factors influencing retention in MOOCs.- Green Energy Powered by Smart Grids: A Business Model for Long Term Sustainability.- Cloud based "Energy Aware" routing protocol for predetection and its prevention of Fault Tolerance.- Unmasking the Malware using Android Debug Bridge.- Blockchain and Competitive Business Performance.- Cloud network communication performance Improvement using a Stochastic Bandwidth Allocation and Swam Optimization algorithm.- Comparison of Read Stability and Write Ability of Low Power Nanometric SRAMs.- Forecasting Mental Disorders through Aspect Identification from Social Media Posts.- Topic Popularity Prediction Using Similarity Graph on Twitter.- Bolster Shark Smell Optimization Routing Protocol (BSSORP) For Routing in Underwater Wireless Sensor Networks.- Intrusion Detection System based on Feature Reduced Back Propagation Neural Network using Ant Colony Optimization.- Machine Learning and Sensor Roles for Improving Livestock Farming using Big Data.- Sentimental Analysis on E-learning Videos for Learner's Opinion using Machine Learning Methodology - Support Vector Machine.- TLRNN: Two Level RNN Based Personalized Recommendation in Tourism Domain.- RTHMs - Real Time Health Monitoring System.- Deployment of Cellular Application Using Flutter for Covid-19 Visualization.- Enhancing Agricultural System And Agro Food Transportation Management Using IoT.- Dynamic and Unified Approach to Distinguish Malicious URL using LSTM.- Deep Learning for Performance Enhancement Robust Underwater Acoustic Communication Network.- Modeling and Control of FOPDT Modeled Processes - A REVIEW.-

Dr. Sudhanshu Maurya, Member IEEE, Post-Doctoral Researcher, School of Computer & Communication Engineering, Universiti Malaysia Perlis (UniMAP), Malaysia. He has been designated as Assistant Professor in School of Computing, Graphic Era Hill University, Bhimtal Campus, Uttarakhand, India. Dr. Maurya has completed his Ph.D. in Computer Science, special focus on "Security and Privacy aspect of Mobile Cloud Computing". He acquired a master's degree in Computer Science with a specialization in Artificial Intelligence from Central University of Rajasthan, Rajasthan. He has completed his bachelor's degree in Information Technology from HNB Garhwal Central University, Uttarakhand. He has also contributed as a Research Fellow at NIT Surat. His area of research is dedicated to Cloud Computing, IoT, and Machine Learning. He has authored / coauthored 2 course books, 2 international Patents (Granted), 5 Indian patents and more than 45 research papers indexed in SCOPUS, Web of Science, ACM, IEEE &UGC Care Approved Journals.



 Sateesh K. Peddoju is currently working as an Associate Professor at the Indian Institute of Technology Roorkee, India. He is the Senior Member of ACM and IEEE, and recipient of Cloud Ambassador Award from AWS Educate, IBM SUR Award, Microsoft Educate Award, university merit scholarship, best teacher award in his previous employment, best paper/presentation awards, and travel grants. To his credit, he has one book, edited three books, and many publications on top-tier conferences and journals. He has received several grants from different funding sources. He is guiding many doctoral, master's, bachelor's, and intern students. He has organized many conferences, acted as the Program Chair and General Chair for many conferences. He has been contributing to society as a committee member at national and international forums.  His research interests include Cloud Computing (Cloud, Edge, and Fog), Ubiquitous Computing