E-raamat: Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 1

App OnViolet on UV radiation skin care habits.- Identifying Key Quality
Features of mHealth Applications Unsupervised Feature Selection Approach:
MARS Case Study.- Implementation of e-health in Burkina Faso: a status
report.- A Training Web Platform to improve Cognitive Skills for Phishing
Attacks Detection.- Development of a linear model of diabetes mellitus with
a PID controller and a method for automatic adjustment of the PID
controller.- Financial decisions in Colombian organisations in the health
sector.- Business innovation capabilities in the road infrastructure sector
in the Caribbean region of Colombia.- Smart Agricultural System Using IoT.-
IoT based Low Cost Automated Irrigation System for Smart Farming.-
Simultaneous measurements reading from more than one MiBand 3 wristbands.-
When one wireless technology is not enough: a network architecture for
precision agriculture using LoRa, WIFI and LTE.- Application of Generative
Adversarial Network for Designer-Assistance System.- The Research of
Marco-Control Diagram of ESP Well Based on Machine Learning.- Detection
System Potholes on Roads based-on Recurrent Neuronal Network.-
Eduinformatics: A New Academic Field Needed in the Age of Information and
Communication Technology.- Classification of Sagittal Lumbar Spine MRI for
Lumbar Spinal Stenosis Detection using Transfer Learning of a Deep
Convolutional Neural Network.- Robust Facial-Based Inter-Beat Interval
Estimation through Spectral Signature Tracking and Periodic Filtering.-
Research and Application on Optimization of Drainage Gas Recovery Methods in
Linxing block.- Can the Measurements of Albumin and Glucose be Correlated
Each Other? A Physics-based Theory.- Hybrid 2D Theory of Outdoor Infections
in Times of Global Pandemic.- Impacts of Blockchain on Digital Marketing.- A
Review of Various Techniques used in the Implementation of Lane Departure and
Road Detection.- Virtual Police Station System with Chat Bot using FSM.- Khon
Gesture Detection with Deep Learning Algorithms.- Contribution of Robotics in
Medical Applications A Literary Survey.- Development of Virtual Reality
Training System Based on EEG Biofeedback.- Adapting Automatic Speech
Recognition to the Radiology Domain for a Less-Resourced Language: The Case
of Latvian.- Contextualization of Personal Data Discovery and Anonymization
Tools.- Early Lungs Tuberculosis Detection using Deep Learning.- Localising
the privacy requirement to improve the scalability issue of blockchain.-
Performance analysis of Wi-Fi and LTE-LAA/LTE-U.- Blockchain Based
Decentralized Electronic Voting System.- Human-robot-intermittency and
-invariants.- Breast Cancer Detection Using Machine Learning Algorithms.- A
Machine learning based congenital categorization approach in early
recognition of breast carcinoma.- Review of Powering and Actuation in
Bio-robotic Walking Orthoses.- Study of Device-To-Device Communication in the
Next Generation of Wireless Communication.- Atherosclerosis Disease
Prediction Based on Feature Optimization and Ensemble Classifier.- Damage
Estimation of Reed Fibers during Recycling.- Sentiment Analysis in Teachers
Performance Rating using Naļve Bayes Algorithm. The lack of focus given to
ethical training in the IT Industry.- Heuristic approach to sustainable agile
development with secure indicators.- Improving collaborative filtering based
recommender system with season and style features.- Predicting Sentiment &
Emotion on ASD using Machine learning & Deep neural networks based on Twitter
data.- INCIDENCE OF DIALECTAL ACCENTS IN THE STUDENTS' LISTENING
UNDERSTANDING.- Classification of Handwritten Indic Scripts using Deep
Learning.- Classification of Recyclable Waste Generated in Indian
Households.- A Hybrid Model on Deep Learning for the diagnosis of Diabetic
Retinopathy using Image Cropping.- Automation of Translating Unit-Level
Verification Scenarios for Test Vector Generation of SoC.- Analysis of
Firmware Security Mechanisms.- Mutual Funds Categorization using Ensemble
Clustering.- Load Balancing Synchronized Brownout Oriented Approach For
Safeguarding Cloud Services Sustainability.- Blockchain based Location
Sharing in 5G Open RAN Infrastructure for Sustainable Communities.- Carbon
Footprint Analysis using Knowledge Graph.- Automatic Traffic light Detection
for Self-driving cars using Transfer Learning.- An exploratory study to
evaluate the quality of Research publication by the Indian researchers.- Data
Center Simulation for Resource Utilization Analysis at Extended Loads.-
Detection of Alzheimers Disease through Speech features and Machine Learning
Classifiers.- An Approach to Paperless Administration of Offices in India
using Blockchain.- Key Technology Adoption Indicators for Smart Universities:
A Preliminary Proposal.- Smart Farm Water Requirement Analysis Using Machine
Learning.- Abnormal Activity Detection Using Deep Learning.- Noisy Dense
Label Prediction with Noise Robust Loss Functions.- A Systematic Review on
Convolutional Neural Networks for Sentinel-2 Image Classication.- Categorical
analysis of c ode s mell d etection using machine learning algorithms.-
Foreign Accent Recognition using a Combination of Native and Non-native
Speech.- A novel upgraded uniform embedding technique for JPEG
steganography.- Insights into Developers Abandonment in FLOSS Projects.- A
Machine Learning Approach for Heart Attack Prediction.- Bio-Inspired
Framework for Security in IoT Devices.- Reaction capacity identification
problem: is there any way to formalize scientific knowledge and automate
reasoning so that intelligent systems can solve it?.

Atulya K. Nagar holds Foundation Chair as a professor of Mathematical Sciences and is pro-vice-chancellor for Research and Dean of the Faculty of Science at Liverpool Hope University, UK. He is also the head of the School of Mathematics, Computer Science, and Engineering, which he established at the University. He is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering. He received a prestigious Commonwealth Fellowship to pursue his doctorate (D.Phil.) in Applied Nonlinear Mathematics, which he earned from the University of York (UK) in 1996. He holds a B.Sc. (Hons.), an M.Sc., and M.Phil. (with distinction) in Mathematical Physics from the MDS University of Ajmer, India. His research expertise spans both applied mathematics and computational methods for nonlinear, complex, and intractable problems arising in science, engineering, and industry.  





GABRIELA MARĶN-RAVENTÓS received a M.Sc. in Computer Science from Case Western Reserve University in 1985 and a Ph.D. in Business Analysis and Research from Texas A&M University, USA, in 1993. She has been a Computer Science faculty member at Universidad de Costa Rica (UCR) since 1980. She was the dean of Graduate Studies and the director of the Research Center for Communication and Information Technologies (CITIC), both at UCR. Currently, she is a director of the Graduate Program in Computer Science and Informatics. She has organized several international and national conferences, and has been, and actually is, a chair of several program and editorial committees. From 2012 to 2016, she was the president of the Latin American Center for Computer Studies (CLEI), becoming the first woman to occupy such a distinguished position. Since September 2016, she has been vice-president of the International Federation for Information Processing (IFIP), in charge of the Digital EquityCommittee. Her research interests include smart cities, humancomputer interaction, decision support systems, gender in IT and digital equity.  





Durgesh Kumar Mishra has received M.Tech. degree in Computer Science from DAVV, Indore, in 1994 and Ph.D. degree in Computer Engineering in 2008. Presently, he has been working as a director and professor (CSE) at Sri Aurobindo Institute of Technology, Indore, MP, India. He is also a visiting faculty at IIT-Indore, MP, India. He has 24 years of teaching and 10 years of research experience. He has completed his Ph.D. on the area - Secure Multi-Party Computation for Preserving Privacy. He has published more than 90 papers in refereed international/national journals and conferences including IEEE, ACM conferences. His publications are listed in DBLP, Citeseer-x, Elsevier, and Scopus. He is a senior member of IEEE. He visited MIT Boston and presented his presentation on security and privacy. He also chaired a panel onDigital Monozukuri at Norbert Winner in 21st century at BOSTON. He became the member of Bureau of Indian standards (BIS), Govt. of India, for Information Security domain. 





Dharm Singh Jat is a professor of Computer Science at Namibia University of Science and Technology (NUST). He has guided about 8 Ph.D. and 24 master research scholars. He is the author of more than 150 peer-reviewed articles and the author or editor of more than 20 books. His interests span the areas of multimedia communications, wireless technologies, mobile communication systems, edge roof computing and, software defined networks, network security, and Internet of things. He has given several guest lecturer/invited talks at various prestigious conferences. He is a fellow of the Institution of Engineers (I), Fellow of Computer Society of India, Chartered Engineer (I), Senior Member IEEE and Distinguished ACM Speaker.  He also developed experiments based on simulation software for network experiments, research, and project work for undergraduate and postgraduate students. His research in developing video communication platforms for solving QoS issues in video communications and also developed a framework for video transmission over wireless networks for undergraduate and postgraduate students.