Total Articles : 11

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Review Article
03-Jun-2026
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning

By
Ms. Amita Madhukar Tembhare, Asmita S. Gawande,

Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely


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Review Article
01-Jun-2026
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Smart Wearable Health Pendant Using IoT and Machine Learning for Heart Rate Monitoring and Detecting Falls

By
Aditya R. Shinde, Vaibhavi C. Mahadik, Ranveer R. Patil, Varad V. Patwari, P. S. Kedge, S. B. Patil,

Abstract: Cardiovascular illnesses and accidental falls frequently occur among individuals and at-risk populations. This is the reason we genuinely require a device that can monitor their well-being continuously. We are referring to a health pendant designed


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Review Article
01-Jun-2026
Ahead of Print  Subscription Review Article Published on :- 01-Jun-2026

COLD PLASMA ENHANCED MEDICAL WASTE DISPOSAL SYSTEM

By
Abhirami Suresh, Adithya Giri, Anjana A, Gautham Krishnan A, Gokul P, Beenu Mary Pancker,

Abstract: Biomedical waste generated in hospitals and laboratories often contains infectious materials that must be treated before disposal to prevent environmental contamination and health risks. Conventional treatment methods such as Incineration are


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Review Article
17-Apr-2026
Ahead of Print  Subscription Review Article Published on :- 17-Apr-2026

NON-INVASIVE GLUCOSE MONITORING DEVICE USING MAX30102 SENSOR

By
Dr. K. Rajasekhar, M. Yamini Devi, B.V.S.N.S. Karthik, Ch. E.A.S. Sai, N. Hemanth,

Abstract: Diabetes mellitus is a chronic metabolic disorder affecting millions globally, requiring continuous blood glucose monitoring to prevent complications such as cardiovascular disease, kidney failure, neuropathy, and retinopathy. Conventional invasive


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Review Article
02-Apr-2026
Ahead of Print  Subscription Review Article Published on :- 02-Apr-2026

IoT-Enabled Monitoring of AC Condensate Water for Quality Assessment and Early Detection of HVAC System Health

By
Vivek Yadav, Aman Bharati, Ms. Anamika Dhawan,

Abstract: The shortage of water and expensive reactive maintenance of HVAC are major problems in the modern building management. The paper introduces an Internet of Things (IoT)-enabled air conditioning (AC) condensate to water resource (predictive


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Original Research
20-Mar-2026
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AI Voice Detection Tool

By
Mr.M.R.Shaikh, Sanjivani, Kulkarni Maitreyee, Kotme Gauri, Lahare Samruddhi, Jawale Vaishnavi,

Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity


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Original Research
20-Mar-2026
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HYBRID SMART PARKING SYSTEM ENRICHED WITH IOT

By
Tanishqa Girme, Saish Jadhav, Anushka Ubale, Rushikesh Mhase, Daisy Mudiar,

Abstract: Urban zones demand progressive parking methods which emerged as a response to increasing requirements for efficient parking operations. Traditional parking operations run improperly thus creating both highway delays and fuel inefficiency and


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Original Research
20-Mar-2026
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Fingerprint-Based Attendance Monitoring System Using Arduino

By
Gaurav Rawat, Rupendra Singh Chahar,

Abstract: This system uses Arduino to enable an attendance monitoring system through the use of fingerprints. The system guarantees effective, safe and automated recording of attendance with biometric scanning. It lessens mistakes because of automatic marking,


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Review Article
06-Aug-2025
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Advanced Micromachining with Abrasive Jet Machining: Experimental Observations and Model Comparisons

By
Allamsetti Yogesh, Pothamsetty kasi V. Rao, B. Vadiraj,

Abstract: Abrasive Jet Machining (AJM), also known as Micro Blast Machining, is a non-traditional machining process that removes material through the erosive action of a high-velocity gas jet carrying fine abrasive particles. This process is particularly


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Review Article
09-Jul-2025
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REAL TIME ALCOHOL DETECTION WITH ACCIDENT PREVENTION SYSTEM USING ARDUINO

By
Pranav U. Bankar, Udayraj M. Bhosale, Digvijay V. Deshmukh, M. V. Naiknavare,

Abstract: The aim of our research paper is to present a project designed to make human driving safer and to significantly reduce road accidents caused by drunk driving. This project integrates an MQ3 alcohol sensor with an Arduino-based system using the