Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Udochukwu ThankGod Ikechukwu Igwenagu, Abidemi Ayodotun Salami, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
Anomaly detection is critical for network security, fraud detection, and system health monitoring applications. Traditional methods like statistical approaches and distance-based techniques often struggle with high-dimensional and complex data, leading to high false positive rate...
Open access
Research Article10.9734/ajrcos/2024/v17i6472
Health monitoring of Li-ion batteries is crucial for ensuring their safe and reliable operation in various engineering and energy storage applications. This paper provides a comprehensive review of state-of-the-art techniques and emerging trends in health monitoring for Li-ion ba...
Open access
Research Article10.9734/ajrcos/2024/v17i6471
The study provides a description of electroencephalography (EEG) advancements and their application in diagnosing and assessing various neurological diseases over the previous five years. The paper covers how EEG is used to examine epilepsy, sleep disorders, movement disorders, c...
Open access
Research Article10.9734/ajrcos/2024/v17i6470
This article highlights the need for the successful implementation of a custom engine within Oracle Governance, Risk, and Compliance (GRC) Preventive Controls Governor (PCG) to address challenges encountered during the item activation process in Inventory. The existing manual pro...
Open access
Research Article10.9734/ajrcos/2024/v17i6469
This study compares Support Vector Machine (SVM), Logistic Regression, and Decision Tree algorithms for liver disease prediction using a dataset sourced from Kaggle, comprising 20,000 training records and approximately 1,000 test records. The research evaluates the algorithms bas...
Open access
Research Article10.9734/ajrcos/2024/v17i6467
The prominent applications of sentiment analysis encompass various fields, including marketing, customer service, and communication. The conventional bag-of-words approach for measuring sentiment only counts term frequencies, while neglecting the position of the terms within the...
Open access
Research Article10.9734/ajrcos/2024/v17i6468
Aims: The objective of Veritas AI is to revolutionize the domain of lie detection through the deployment of a cutting-edge algorithm within the realms of computational linguistics and artificial intelligence. Study Design: Veritas AI is conceptualized as a groundbreaking framewor...
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Research Article10.9734/ajrcos/2024/v17i6465
The paper provides a safe and power-efficient Internet of Things (IoT)-based solution. With the growing concerns about environmental sustainability and the demand for improved safety measures in today’s society, it has become critical to focus on building systems that decrease en...
Open access
Research Article10.9734/ajrcos/2024/v17i6466
Cybersecurity stands as a cornerstone for safeguarding the integrity, security, and prosperity of a nation in the digital era. It involves a multifaceted approach to protect interconnected digital systems, critical infrastructure, and sensitive data. In the context of a smart nat...
Open access
Research Article10.9734/ajrcos/2024/v17i6464
This paper focuses on detecting the human gender using Convolutional Neural Network (CNN). Using CNN, a deep learning technique used as a feature extractor that takes input photos and gives values to various characteristics of the image and differentiates between them, the goal i...
Open access
Research Article10.9734/ajrcos/2024/v17i6463
In the realm of educational instruction, teachers encounter a diverse array of students, each with unique learning styles and potential challenges. Among these learners are those with distinct needs, requiring tailored approaches to facilitate their academic progress. These stude...
Open access
Research Article10.9734/ajrcos/2024/v17i6462
Customers can shop conveniently online with the help of the Cooperative Store Management System, an e-commerce web application, without having to go to the store in person. This technology seeks to lessen the effort of sales staff and eliminate the possibility of manual errors by...
Open access
Research Article10.9734/ajrcos/2024/v17i6461
This paper introduces a new factoring algorithm called Anorld’s Factorization Algorithm that utilizes semi-prime numbers and their implications for the cryptanalysis of the Rivest-Shamir-Adleman (RSA) cryptosystem. While using the concepts of number theory and algorithmic design,...
Open access
Research Article10.9734/ajrcos/2024/v17i6458
Aims: This study provides a detailed comparison of two leading feature flagging services, LaunchDarkly and ConfigCat, and also examines the cost-efficiency and operational implications of using Blue/Green deployment strategies. It seeks to aid stakeholders in understanding the tr...
Open access
Research Article10.9734/ajrcos/2024/v17i6459
Now a days social media plays crucial role in allowing individuals to express their views. Based on their views find the information of different keywords/statements like sadness, happiness, teasing, harassment and abuse. Online abuse, a novel form of pestering, have become incre...
Open access
Research Article10.9734/ajrcos/2024/v17i6460