VOL. 22, NO.3 2024
Dublin Core
Title
VOL. 22, NO.3 2024
Collection Items
Sclera boundary localization using circular hough transform and a modified run-data based algorithm
Security challenges over the years has led to the need for an improvement in the traditional security approaches. This led to the advent of biometrics. Recently, among the biometric approaches, sclera has been an area of imense study. This is due to…
Igniting transistor to control three-phase alternating current motor servo
The background of research try to use an open loop system, without feedback, by building torque in the target position. Theoretical basis manages the turning round of servo motor change direct currents to alternating currents by adjusting the rate…
A survey on the dataset, techniques, and evaluation metric used for abstractive text summarization
Whenever there is too much information out there, it is desirable to summarize. If humans are trying to create the summary, it will take lot of time. Now to make the problem of summarizing information easier and more effortless one can automate the…
Consistency, local stability, and approximation of Shapash explanation
Consistency, scalability, and local stability properties ensure that a model or method produces reliable and predictable outcomes. The Shapash helps users understand how the model makes its decisions. With machine learning (ML) system, healthcare…
Incorporating rivest-shamir-adleman algorithm and advanced encryption standard in payment gateway system
The rapid development of technology has led to various advancements, including the ability to conduct online payments through applications. Companies providing digital transaction payment services require a payment gateway system as an intermediary…
Advancements in wind farm layout optimization: a comprehensive review of artificial intelligence approaches
This article provides a detailed evaluation of cutting-edge artificial intelligence (AI) approaches and metaheuristic algorithms for optimizing wind turbine location inside wind farms. The growing need for renewable energy sources has fueled an…
Advancements in accurate speech emotion recognition through the integration of CNN-AM model
In this study, we introduce an innovative approach that combines convolutional neural networks (CNN) with an attention mechanism (AM) to achieve precise emotion detection from speech data within the context of e-learning. Our primary objective is to…
Peak current control of grid-feeding inverter with low voltage ride-through capability
The grid-feeding inverter is the most popular choice for implementing a distributed generator (DG) in a photovoltaic (PV) system. Its role is to deliver active power with zero reactive power while connected to the grid. In most cases, the inverter is…
Metamaterial inspired circular antenna for Bluetooth band integration
Within the rapidly evolving landscape of wireless communication technologies, this scientific paper delves into an innovative approach by exploring the integration of the Bluetooth frequency band into a circular antenna design. Leveraging the…
Optimized multi correlation-based feature selection in software defect prediction
In software defect prediction, noisy attributes and high-dimensional data remain to be a critical challenge. This paper introduces a novel approach known as multi correlation-based feature selection (MCFS), which seeks to address these challenges.…