Volume 2, Issue 9, September 2025

Journal of Artificial Intelligence and Emerging Technologies · ISSN (online): 3049-1967

Open Access Peer Reviewed

Published Articles

Software and Hardware Approaches for Mitigating Errors in Weighing Signals Generated by Load Cells

Abdulqader Faris Abdulqader Dr. Fakhrulddin Hamid Ali

Volume 2, Issue 9, Pages 1-9, September 2025

In this paper, handling the error in weighing signal is a very important topic. The load cell sensor produces the weighing signal. Sensor function is transforming the weight of things into a weak electrical signal. The noise from different sources like machines, electromagnetic fields, humidity, power lines and temperature variations produces errors in the weighing signal. As a result, the ac... Read More

Article DOI:  doi.org/10.47001/JAIET/2025.209001

Design of an Affordable Arduino-Driven CNC Controller for Industrial Automation

Sivaguru PVS

Volume 2, Issue 9, Pages 10-17, September 2025

Computer Numerical Control (CNC) systems play a vital role in modern industrial automation; however, conventional CNC controllers are often expensive and complex, limiting their adoption in small-scale industries, educational laboratories, and custom manufacturing setups. This research presents the design and implementation of an affordable Arduino-driven CNC controller aimed at delivering re... Read More

Article DOI:  doi.org/10.47001/JAIET/2025.209002

Cross-Platform Analysis of Task and Memory Management in Android and iOS

Karthick DM Jessy Thomas

Volume 2, Issue 9, Pages 18-24, September 2025

Efficient task scheduling and memory management are critical factors influencing the performance, responsiveness, and energy efficiency of modern mobile operating systems. Among the dominant platforms, Android and iOS adopt fundamentally different architectural approaches to process lifecycle control, background task execution, and resource allocation. This research presents a comprehensive c... Read More

Article DOI:  doi.org/10.47001/JAIET/2025.209003

Cost-Sensitive Machine Learning Framework for Credit Card Fraud Prediction

Venkatesh Reddy Lakshmi Priya K.Hari Krishna N.Divya S.Nandini

Volume 2, Issue 9, Pages 25-32, September 2025

The rapid growth of digital payment systems has significantly increased the risk and complexity of credit card fraud, leading to substantial financial losses for financial institutions and consumers. Traditional rule-based detection systems often struggle to identify evolving fraud patterns and sophisticated attack strategies. This research presents a predictive modeling framework for credit ... Read More

Article DOI:  doi.org/10.47001/JAIET/2025.209004

Modern Intelligent Systems and Their Applications

C.Vinobhaji B.Balaji

Volume 2, Issue 9, Pages 33-42, September 2025

Modern intelligent systems have transformed the way technology interacts with human society by enabling machines to perceive, learn, reason, and make decisions with minimal human intervention. Driven by advancements in artificial intelligence, machine learning, data analytics, and automation, these systems are increasingly integrated across diverse domains including healthcare, agriculture, f... Read More

Article DOI:  doi.org/10.47001/JAIET/2025.209005