machine learning model

Published Subscription Review Article 20 Mar 2026

AI Powered Fault Detection in DC Motor using STM32

By Pallavi Kumari V, Samiksha Murthy, Sribhanu Sravya Addaguduri, Anjana Joshi

Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …

Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article

Published Subscription Review Article 14 Feb 2025

Cloud Enabled Machine Learning Framework for Medicine System

By Asalkar Sharayu, Roshani Dhule, Aishwarya Ghulme, Rutuja Sabale, Jaishri R. Shilpakar

Abstract: The Medicine Generic App is a cutting-edge mobile application designed to empower users with information about generic medications. Given the rising expenses of healthcare and prescription medications, this app acts as a useful resource for consumers to make informed decisions regarding their medication options. The Medicine Generic App aims to promote generic drug usage, reduce healthcare costs, and improve medication management for users. By providing detailed information and price transparency, …

Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article

Published Subscription Review Article 30 Dec 2024

Birdwatcher’s Assistant: AI- Based Bird Species Classification

By Salman Khursheed Ahmad, Shreya Sachan, Tanay Gupta, Sakshi Rai

Abstract: Many bird species have gone extinct because of human activities and changes in the climate. The loss of habitats is a significant danger to global biodiversity. Therefore, it is important to monitor species distribution and identify the components of biodiversity in an area to develop conservation strategies. The ultimate objective is to build a machine learning model that can accurately differentiate between various bird species based solely on visual cues. …

Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 17–27 Read article