Advancing Sustainable Science and Technology for a Resilient Future

1. Internet of Things and Green Production: Implications for Market Research and Industrialization
Kannan Nova, Vartika Kulshrestha, Chetan V. Hiremath and Karan R. Jagdale
2. Analysis of Solutions of a Fractional Differential Equation Coupled with a Boundary Value Issue
D. Saravanan, S. Vasundhara, K. Dhilipkumar and Pravin P.
3. Smart Cloud Data Management Based on Deep Reinforcement Learning with Spider Swarm
Optimization Algorithm
Sandhya Rani Nallola, Vadivel Ayyasamy, Omaia Mohammed Al-Omari and A. Inbavalli
4. A Novel IoT Based Environmental Monitoring System Integrating Machine Learning Under the
Background of Big Data 16
D. Saravanan, Vijay Ramalingam, R. Parthiban and Manish Sharmad
5. Facial Recognition Model using Hyper-Tuned ResNet50 in Localized Datasets
Shem L. Gonzales, Jerry I. Teleron and Rex Bomvet D. Saura
6. Mobile Application for Risk Assessment Using Naïve Bayesian Algorithm with Distance Notification
against COVID-19
Aleta C. Fabregas, Carlo Inovero, Ma. Leonila Amata and Armin S. Coronado
7. Physicochemical and Microbial Water Quality of the Coastal Waters of Sogod, Southern Leyte
Lelie Lou Bacalla
8. K-Means Clustering on Spotify Music Data Using Supervised Feature Selection Techniques
Enhancing Accuracy
Herbert Tagudin and Aleta Fabregas
9. Development of a Microcontroller-based Oil Spill Monitoring Buoy
John Francis R. Chan, Melvin C. Ilang-Ilang and Annie Liza C. Pintor
10. Palayan: Forecasting Rice Crop Loss on Typhoons using PSO-SVR
Maria Sophia Balita, Hannah Cailing - Carlos Joshua Elequin,
John Clarence Pagulayan-Jeremy Karl Santiagoa and Ria Ambrocio Sagum
11. Artificial Intelligence as Support in Knowledge Management for Human Resource Management
Ria Ambrocio Sagum
12. Sentiment Analysis on Product Review Using Sarcasm, Emoticon, and Internet Slang Detection
Ria Ambrocio Sagum
13. Antonym and Meronym Identification as an Aid for Filipino Corpus Builder
Ria Ambrocio Sagum
14. Multi-staged Bird Species Classification Through CNN using Bird Vocalizations
Albert John De Vera, Rock Christian Tomas, Jabez Joshua Flores and Anton Domini Sta. Cruz
15. Performance of ArUco Detector in ArUco Marker Detection Using Non-GPS Drone
Anton Domini Sta. Cruz, Jayson Osayan, Luis Rafael Moreno and Rob Christian Caduyac
16. A comparative analysis of three classification algorithms to predict students board performance
Marienel N. Velasco and Jayson M. Victorianob
17. Assessment of Neighborhood Watch System for Crime Prevention
Marienel N. Velasco
18. The Effects of E-Machine Shorthand Online Teaching Practices to Students’ Performance:
Evidence from Rizal Technological University
Jayvie O. Guballo, Ely B. Marbella and Marvin A. Fuentes
19. Digital Wallet: Usage and its Security for Cashless Society
Melani L. Castillo
20. PUP Microbank: Microbial Collection Repository with Status Monitory and Request Assessment
JaysonJamesMayor, Sherilyn Usero, Kimberly D. Francia, Louie B. Gonzales, Maria Patricia R. Habaan,
ReaSophiaL.Pasco, Aleta C.Fabregas, Gary Antonio C.Lirio and ArminS.Coronado
21. Experimental Study Modeling Straight-bladed Vertical Axis Wind Turbine with Central Panel to
Aid Self-Starting Capability
Rizal M. Mosquera and Marita Natividad T. De Lumen
22. The Applications of Artificial Intelligence in Relation to the Marketing Strategy of
Fast Food Businesses
Airene Resty P. Aprosta
23. Vehicle Rustproofing Practices of Automotive Shops in Municipalities of Surigao Del Norte,
Philippines
Reymond P. Piedad
24. Association of Financial Literacy Among Filipino Gen Z College Students: A Structural Equation
Modeling Approach
Renato E. Apa-ap and Mecmack A. Nartea
25. MEDSPEAK: A Linux Based Speaking Prescribed Medicine Reminder Alert Project
Engr. Jose Marie B. Dipay, PCpE, Engr. Julius S. Cansino, MIT,PCpE,
Arvin R. dela Cruz,PCpE and Ginno L. Andres
26. Impact of Microclimate on Noise Reduction
Utami Retno Pudjowati, Burhamtoro and Eko Naryono
27. An Intelligent System on Performance Prediction for Job Placement Using Case-based Reasoning
Mark JaysonLay and Jenny Lyn Abamo
28. Ticketing Platform for QCU Computing Department with Serverless Video Communication
Gerard Nathaniel Ngo and Jenny Lyn Abamo
29. Usability of Human Resource Information System of Apayao State College
Mc-ornoc T. Lamaoa and Thelma D. Palaoag
30. Thematic Analysis of the Learning Management System of Samar State University:
The User Perspectives
Sweet Mercy Pacolor and Thelma Palaoag
31. Integrating Augmented Reality to Omani HEIs: A Covid19 Inspired Case Study-Based Model
Khalfan Al Masruri, Hameetha Begum Reshmy Krishnan and Ferddie Quiroz Canlas
32. CatBoosting Advanced Ensemble Machine Learning Techniques to Predict Heart Disease
S. Hameetha Begum, S. M. H. Sithi Shameem Fathima and T. SivaKumar
33. Development of Electrochemical Oxygen Microsensor for the Measurement of Dissolved
Oxygen in Natural Waters
Denson Liday, Nobelyn Agapito and Samuel Dulay
34. Comparative Analysis of Water Potability Prediction Based on Classical Machine Learning
Algorithms and Artificial Neural Networks
Rob Christian M. Caduyac and John Francis R. Chan
35. Predicting CKD Stages and Urgency Level with K-Means Clustering via Data Mining
August Anthony N. Balute and Marjorie Cuyes Solomon
36. A Smart Healthcare System Using an Artificial Intelligence for Detecting Heart Disease
Girish Kalele
37. Artificial Intelligence Assisted Intelligent COVID-19 Monitoring Framework
Sanjay Bhatnagar
38. Hybrid Artificial Intelligence Algorithm for Medical Data Classification
Raman Verma
39. Artificial Intelligence-based Framework for Predicting Academic Performance in Online Learning
Tannmay Gupta
40. Swarm Optimized Robust AI Algorithm for Biomedical Data Classification
Sachin Mittal
41. Artificial Intelligence-Based Categorization of Art Paintings
Abhiraj Malhotra
42. Deep learning-based Evaluation of Cybersecurity Threats in Smart City Buildings
Rahul Mishra
43. Analyzing the Data Security Concerns in Cybersecurity Risks for Social Media Sites
Dhiraj Singh
44. A Novel Machine Learning Approach for Detecting Cybersecurity Risks in Industries
Saurabh Lahoti
45. Spoofing Attack Detection in WSN Based on Deep Learning for Cyber Security Enhancement
Aman Mittal
46. Malicious Prediction in Wireless Body Area Networks for Enhancing Cyber Security
Anubhav Bhalla
47. Enhancement of Cybersecurity: Ensemble Machine Learning Method for Detecting
Credit Card Fraud in Banking
Saket Mishra
48. A Data Storage System for Educational Records Using Blockchain Technology
Rishabh Bhardwaj
49. An Efficient Blockchain Based Healthcare Data Management System Using Lightweight
Cryptographic Algorithm
Pooja Sharma
50. A Secured Blockchain-Based Smart Contract for Vehicle Anti-Theft System
Savinder Kaur
51. Implementation of a Trust-based Blockchain Model for Medical Applications
Rahul
52. A Conceptual Framework Integrating Blockchain and Supply Chain for Sustainable Development
Ankit Punia
53. Agricultural Data Integrity Using Swarm Optimization Based Blockchain Technology
Komal Parashar
54. Machine Learning Based big Data Analytics Framework for Healthcare Applications
Aashim Dhawan
55. A Novel Data Mining Approach for Intrusion Detection in Smart Grids
Rahul Thakur
56. Fuzzy Based Big Data Business Analytics for Efficient Decision Making
Nimesh Raj
57. A Novel Data Science Approach for Agricultural Crop Yield Prediction
Nittin Sharma
58. Sentiment Classification of Social Media Comments Using Data Mining
Takveer Singh
59. Fake News Detection on Social Media under the Background of Data Mining
Saksham Sood
60. Network Anomaly Detection Using a Hybrid Machine Learning Framework
Prerak Sudan
61. Cancer Prediction Model using Meta-Heuristic Optimization based Machine Learning Algorithm
Manisha Chandna
62. Machine Learning-Based Identification of Water Bodies Using Remote Sensing Images
Ramesh Saini
63. An Automated Healthcare Data Analysis Framework Usingmachine Learning
Girish Kalele
64. Effective Intrusion Detection in Wireless Sensor Networks Using a Machine Learning Approach
Sanjay Bhatnagar
65. Predictive Maintenance of Industrial Machines Using Novel Machine Learning Algorithm
Raman Verma
66. A Conceptual Framework for Remote Patient Monitoring Using the Internet of Things
Tannmay Gupta
67. Implementation of a Smart Education System Based on IoT Enabled Decision Making Process
Sachin Mittal
68. Enhancing Quality of Service in IoT Based Intelligent Transportation System
Abhiraj Malhotra
69. An Automated Smart Agricultural System Using Internet of Things
Amanveer Singh
70. Design of a Novel Secured Information Transmission System in Industrial Internet of Things
Aseem Aneja
71. A Novel Trust aware Energy Efficient Routing Protocol for IoT Networks
Danish Kundra
72. A Novel Biometric Authentication System for Healthcare Data Management in Cloud
Abhinav Rathour
73. An Innovative Strategy for Implementing an Online Education Platform Based on Cloud Computing
Anubhav Bhalla
74. Distributed Denial of Service Attack Detection in Cloud Using Machine Learning Algorithm
Ravi Kumar
75. Optimal Task Scheduling Algorithm Based on Swarm Optimization in Cloud Computing Environment
Rishabh Bhardwaj
76. Design of an Energy-Efficient Resource Allocation Algorithm for Cloud Computing
Pooja Sharma
77. Novel Encryption Technique for Cloud Computing Access Control
Savinder Kaur
78. Optimal Path Planning Algorithm with Optimization Technique for Mobile Robots
Rahul
79. Design of a Bio-Inspired Framework for Underwater Robotic Communication System
Ankit Punia
80. Smart Environmental Monitoring System Using Enhanced Bayes Bayesian Optimized
Robotics Platform 335
Aashim Dhawan
81. Automated Robotic Navigation with Obstacle Detection Using a Deep Learning Algorithm
Komal Parashar
82. A Wall-Climbing Automated Robot Based on a Neural Network for Reinforced Concrete
Structural Monitoring
Nimesh Raj
83. Automated Marine Robot Navigation System Using Machine Learning Algorithm
Nittin Sharma
84. Nabi: A Social Platform where Mental Health Matters
Cerin Gabriel B., Cui Catherine Joyce P., Domingo Leo Enrico A Nidoy y Roy Allen A. and Estrella Noel E.
85. PLANTSYS: A SMS Based Automatic Plant Irrigation and Monitoring System
Engr. Jose Marie B. Dipay
Lester B. Sarmiento
86. Design, Fabrication, and Performance Evaluation of Ayungin (Leiopotherapon Plumbeus) Smoke Dryer
Marjun E. Caguay
87. Lived Experiences of Parents with Child Diagnosed with Retinoblastoma
John Carlo A. Abaniel

Biography

Sai Kiran Oruganti

Indian Institute of Technology Patna India.

ORCID: https://orcid.org/0000-0003-4601-2907

Areas: Wireless Power Transfer, Wireless technologies, IoT, Radio Science, Electromagnetics & applications.

Profile Summary Prof. Dr. Sai Kiran Oruganti is with the School of Electrical and Automation Engineering, Jiangxi University of Science and Technology, Ganzhou, People’s Republic of China as a full Professor since October 2019. He is responsible for establishing an advanced wireless power transfer technology laboratory as a part of the international specialists team for the Center for Advanced Wirless Technologies. Between 2018-2019, he served as a senior researcher/Research Professor at Ulsan National Institute of Science and Technology. Previously, his PhD thesis at Ulsan National Institute of Science and Technology, South korea, led to the launch of an University incubated enterprise, for which he served as a Principal Engineer and Chief Designer in 2017-2018. After his PhD in 2016, he served Indian Institute of Technology, Tirupati in the capacity of Assistant Professor (Electrical Engineering) between 2016-2017.

Research

Prof. Dr. Oruganti, prime research focus is in the development of Wireless Power Transfer(WPT) for applications- Internet of Things (IoT) device charging, Agriculture, Electric Vehicle Charging, Biomedical device charging, Electromagnetically induced transparancy techniques for military and defence applications, Secured shipping containers, Nano Energy Generators. Achievements Prof. Dr. Oruganti has more than 21 patents pending on his credit and with several of those patent applications passing the NoC stage. As of 2021, 16 of 21 patents have been granted. He is credited with the pioneering work in the field of Zenneck Waves based Wireless Power Transfer system. Most notably, he has been regarded as one of the only few researchers in the field of WPT to be able to conduct power and signal transmission across partial Faraday shields. His recent paper accepted by Nature Scientific Reports has generated a lot of interest and excitement in the field. International Union of Radio Science(URSI) recognized his research efforts and awarded him Young Scientist Award in 2016. He is also recipient of IEEE sensors council letters of appreciation.

Dimitrios A. Karras

University of Athens (NKUA), Greece

https://orcid.org/0000-0002-2759-8482

Areas: Intelligent Systems, Computational intelligence, machine learning and deep learning, Adaptive systems and distributed systems, Multi agent Systems, Signal and Image processing, Communication Systems Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985 and the Ph. Degree in Electrical Engineering, from the NTUA, Greece in 1995, with honours. From 1990 and up to 2004 he collaborated as visiting professor and researcher with several universities and research institutes in Greece. Since 2004 he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as associate professor in Digital Systems and Signal Processing, till 12/2018, as well as with the Hellenic Open University, Dept. Informatics as a visiting professor in Communication Systems (the latter since 2002 and up to 2010). Since 1/2019 is Associate Prof. in Digital Systems and Intelligent Systems, Signal Processing , in National & Kapodistrian University of Athens,Greece, School of Science, Dept. General. He is, also, adjunct professor with GLA University. Mathura, India and BIHER, BHARATH univ. India as well as with EPOKA and CIT universities Tirana. Moreover, he is with AICO EDV-Beratung GmbH as senior researcher as well as Director of Research and Documentation at ADIafrica N. G. O. He has published more than 80 research refereed journal papers in various areas of pattern recognition, image/signal processing and neural networks as well as in bioinformatics and more than 185 research papers in International refereed scientific Conferences. His research interests span the fields of pattern recognition and neural networks, image and signal processing, image and signal systems, biomedical systems, communications, networking and security. He has served as program committee member in many international conferences, as well as program chair and general chair in several international workshops and conferences in the fields of signal, image, communication and automation systems. He is, also, former editor in chief (2008-2016) of the International Journal in Signal and Imaging Systems Engineering (IJSISE), academic editor in the TWSJ, ISRN Communications and the Applied Mathematics Hindawi journals as well as associate editor in various scientific journals. He has been cited in more than 2560 research papers, his H/G-indices are 20/52 (Google Scholar) and his Erdos number is 5. His RG score is 32.78

Srinesh Thakur

Anvita Electronics PVT LTD India

Srinesh Thakur is an accomplished hardware engineer and successful entrepreneur with a remarkable career spanning over a decade. He has made significant contributions to the field of hardware engineering, working with prestigious institutions like Technische Hochschule Nürnberg and Fraunhofer Research Institute in Germany. As a co-founder of Anvita Electronics in Hyderabad, India, and Atya Technologies, Srinesh has demonstrated exceptional leadership and vision in establishing these ventures. His expertise lies in highly complex 32-layer PCB design, a skill that has set him apart in the industry. Throughout his career, Srinesh has primarily focused on the development of cutting-edge test equipment for the automotive testing industry. His passion for innovation and commitment to delivering high-end solutions have earned him a stellar reputation among his peers. With a deep understanding of hardware engineering principles and an entrepreneurial spirit, Srinesh Thakur continues to drive technological advancements in the field, revolutionizing automotive testing and setting new standards for the industry.