The most popular flowers in the world are roses, not only cheer people up but also support livelihoods. Diseases, however, can harm these priceless flowers' health and negatively affect both their quality and the growers' livelihoods. The increased occurrence of ailments in rose...
Open access
Research Article10.9734/ajrcos/2024/v17i11519
Aims: Fraud remains a persistent issue in various industries, particularly in finance, e-commerce, and healthcare, where traditional rule-based systems have struggled to keep pace with the evolving complexity of fraudulent activities. This study aims to develop an enhanced fraud...
Open access
Research Article10.9734/ajrcos/2024/v17i11518
Onyinye Obioha-Val, Titilayo Modupe Kolade, Michael Olayinka Gbadebo, Oluwatosin Selesi-Aina, Omobolaji Olufunmilayo Olateju & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
This study addresses critical cybersecurity vulnerabilities within U.S. infrastructure sectors, particularly energy, water, and healthcare, where high-severity vulnerabilities and ransomware continue to pose significant risks. The study applied a multi-method analytical approach...
Open access
Research Article10.9734/ajrcos/2024/v17i11517
This thesis explores an innovative approach to optimizing energy efficiency in smart home environments by leveraging reinforcement learning (RL) and Internet of Things (IoT) technologies. As global energy demand rises and concerns over environmental sustainability intensify, smar...
Open access
Research Article10.9734/ajrcos/2024/v17i11516
The oil pipeline industry has seen a rise in criminal activities recently. More than $133b is estimated to be lost globally as a result of the activities of cartels, organized crime members and small-time vandals to oil pipelines. To steal petroleum products from a pipeline, crim...
Open access
Research Article10.9734/ajrcos/2024/v17i11515
The integration of electronic voting systems (EVS) into electoral processes promises increased efficiency, speed, and transparency. However, this technology also introduces a variety of security challenges that must be addressed to ensure the integrity of the voting process. This...
Open access
Research Article10.9734/ajrcos/2024/v17i10514
Sunday Abayomi Joseph, Titilayo Modupe Kolade, Onyinye Obioha-Val, Olubukola Omolara Adebiyi, Olumide Samuel Ogungbemi & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
This study employs a mixed-methods approach to examine the optimal balance between AI-powered automation and human oversight in information governance frameworks, aiming to enhance organizational productivity, efficiency, and compliance. Quantitative data collected from 384 respo...
Open access
Research Article10.9734/ajrcos/2024/v17i10513
The article discusses various approaches and methods to combat overfitting, which is a key problem in the field of artificial intelligence. Overfitting occurs when the model over-adapts to the training dataset, losing the ability to generalize to new data. The main causes and sig...
Open access
Research Article10.9734/ajrcos/2024/v17i10511
Precision agriculture is one of the ways to achieve food security and sustainability through better resource-use optimization and crop productivity dealing with the challenges posed by the growing population and addressing environmental concerns. The study offers an in-depth look...
Open access
Research Article10.9734/ajrcos/2024/v17i10512
Visual question answering (VQA) has been regarded as a challenging task requiring a perfect blend of computer vision and natural language processing. As no dataset was available to train such a model for the Nepali language, a new dataset was developed during the research by tran...
Open access
Research Article10.9734/ajrcos/2024/v17i10510
This paper presents the use of Bayesian networks and K-Nearest Neighbor algorithms for predicting election results. Our motivation stemmed from the complexities of the election data available, which spans over 120,000 voting locations across 36 states in Nigeria, and the requirem...
Open access
Research Article10.9734/ajrcos/2024/v17i10508
This study investigates strategies to transform perceptions of computer science, with the primary objective of identifying educational interventions that can effectively reduce barriers faced by underrepresented groups in computer science education. Historically, this field has b...
Open access
Research Article10.9734/ajrcos/2024/v17i10509
Aims: This study aims to explore the core principles, tools, and best practices for implementing DevOps, emphasizing its benefits, such as enhanced efficiency, better collaboration, and faster time-to-market. It also seeks to identify common challenges in DevOps adoption and prov...
Open access
Research Article10.9734/ajrcos/2024/v17i10507
This study aims to analyze the adoption of Artificial Intelligence (AI) in South and Southeast Asia and Africa, focusing on how AI technologies shape the digital economies in these regions. The objective is to assess AI's role in key sectors such as energy, manufacturing, healthc...
Open access
Research Article10.9734/ajrcos/2024/v17i10506
The global issue of lung cancer has grown to be very serious. Using machine learning to classify lung cancer is one method. The challenges in this study are how to apply Particle Swarm Optimization rate of change (PSO-ROC) as a feature selection method and support vector machine...
Open access
Research Article10.9734/ajrcos/2024/v17i9504