OXY SENSE-WEAR: A REAL-TIME IOT-BASED WEARABLE PLATFORM FOR CONTINUOUS MULTI-PARAMETER HEALTH MONITORING
Purpose- The main objective of the proposed paper is to create and implement a real-time wearable health monitoring system based on IoT, i.e., Oxy Sense-Wear, that will enable the constant control of the main physiological parameters, such as ECG, EMG, SpO2, body temperature, and physical activity. The system is aimed at long-term surveillance of t...
By M.N. Vimal Kumar, M. Pravin Kumar, Baskar Duraisamy, A.K. Jaithunbi, P. Samson Peter, V.M. Thejashri
A TWO – ECHELON INVENTORY MODEL FOR DETERIORATING ITEMS WITH RAMP – TYPE DEMANDS AND VARIABLE HOLDING COSTS
It presents a dynamic model of inventory management of the deteriorating items with time-sensitive demand and variable holding costs. The model is used to solve the problem in industries where demand is seasonal or because of other external conditions, like weather or market conditions. A two-tier inventory model is implemented as a way of minimizi...
By Prashant Sharma, Birendra Kumar Chauhan, Gajraj Singh
DEEP REINFORCEMENT LEARNING CONTROL OF SWARM UAVS FOR POST DISASTER CIVIL INFRASTRUCTURE ASSESSMENT
Rapid and accurate assessment of civic infrastructure following a natural or artificial disaster is essential to planning emergency response and recovery. This paper introduces a control system based on deep reinforcement learning (DRL) to coordinate unmanned aerial vehicle (UAV) swarms and methodically approach the post-disaster infrastructure ins...
By Moti Ranjan Tandi, Archana Mishra
ENHANCING MACHINE LEARNING CLASSIFIERS WITH GLOBALBESTPSO FOR CLASSIFYING BANK CUSTOMERS
The innovation of Machine Learning (ML) techniques is evolving from basic techniques to optimized techniques, considerably improving the performance of prediction models. In the proposed work, the study primarily explores fundamental ML classification methods to classify banking customers based on their credit information. The classification of cus...
By Sufaira Shamsudeen, K. Ranjith Singh
BIOGENIC SYNTHESIS AND ANTIBACTERIAL ACTIVITY OF SILVER NANOPARTICLES USING CYANOBACTERIA FROM THE ARID REGION OF HAIL, SAUDI ARABIA
This research paper examines the biogenic production of silver nanoparticles (AgNPs) using cyanobacterial strains (Spirulina, Nostoc, and Anabaena) that have been isolated in arid areas, Hail, in Saudi Arabia, and determines their antimicrobial effects in relation to multi-drug-resistant pathogens. Synthesis was done by incubating cyanobacterial bi...
By Sana M. Alenezi, Amal A. Al-Hazzani, Fatimah S. Alkhattaf
NEXT-GEN PHYSICS EDUCATION: AR/VR-POWERED SIMPLE PENDULUM LEARNING FOR OBE AND NEP 2020
The rapid advancement of immersive technologies has opened new possibilities for enhancing physics education through virtual learning environments. This study presents the design, implementation, and evaluation of an AR/VR-based Simple Pendulum virtual laboratory developed using the Unity platform to support Outcome-Based Education (OBE) under the ...
By Alex Mathew, K. Martin Sagayam, J. Samson Immanuel, P. Esther Jebarani
A ROBUST FEATURE ENGINEERING ARCHITECTURE INCORPORATING HYBRID SAMPLING AND SEMANTIC-STRUCTURAL CODE AUGMENTATION
The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...
By P. Bhavani, N. Danapaquiame
TECHNOLOGY-ENABLED SOLUTIONS FOR INCLUSIVE WORKPLACE DESIGN TO SUPPORT TRANSGENDER EMPLOYMENT RIGHTS
The study fills the gap in the current understanding of available legal safeguards and the actual inclusion of transgender workers that, despite constitutional and legislative requirements in India, there is still no equal access to work-related facilities, computerized systems, and company policies. In order to fill this gap, the research will use...
By Bhargabi Baruah, Sonika Bhardwaj
ARTIFICIAL INTELLIGENCE FOR OPTIMIZING ENERGY SYSTEMS IN SMART GRID ENVIRONMENTS
Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...
By Priya Vij, Ashu Nayak
DYNAMIC IOT FEEDBACK LOOPS IN MULTI-HOP SIGNAL TRANSMISSION PATTERNS FOR ORACLE APEX-BASED MONITORING SYSTEMS
The Internet of Things (IoT) is a rapidly developing industry that currently requires effective monitoring systems to process data in real time and make decisions. In this paper, a new method of multi-hop signal transmission in the IoTs is suggested to be combined with dynamic feedback loops embedded in the Oracle APEX-based monitoring systems. The...
By Srikanth Reddy Keshireddy