This study investigates the barriers and enablers influencing the adoption of the Risk Management Framework (RMF) in mid-sized software development enterprises through a quantitative research design. Four datasets were analyzed: the Stack Overflow Developer Survey, ENISA Threat...
Open access
Research Article10.9734/ajrcos/2025/v18i5667
In recent decades, the prediction of financial markets based on artificial intelligence has expanded a lot, which has led to the emergence of non-parametric models in this field. Models based on historical data provide traders with high accuracy predictions and do not require sim...
Open access
Research Article10.9734/ajrcos/2025/v18i5664
Traffic problems are very common nowadays throughout the world. In India also heavy traffic also occurred in many populated cities. For this reason, the public loses their time and life, and this pollution impacts human health. So, traffic research is necessary for this situation...
Open access
Research Article10.9734/ajrcos/2025/v18i5665
Introduction: This study presents a deep learning-based approach for detecting brute force attacks in network traffic using a Convolutional Neural Network (CNN) model. Methodology: Flow-based data from the NF-UQ-NIDS dataset was preprocessed and balanced using the Downsampling an...
Open access
Research Article10.9734/ajrcos/2025/v18i5662
Aims: The study delves into the machine learning (ML) paradigm shift in enhancing mobile application testing processes for higher accuracy, efficiency, and overall user experience, with a particular focus on Decision Tree and Random Forest models. Study Design: Experimental Resea...
Open access
Research Article10.9734/ajrcos/2025/v18i5663
This research investigates the use of the BERT (Bidirectional Encoder Representations from Transformers) model to enhance the translation of ancient Chinese poetry into English, with particular focus on overcoming the unique challenges posed by this literary genre. Ancient Chines...
Open access
Research Article10.9734/ajrcos/2025/v18i5659
Remote sensing images are crucial for applications such as land-use mapping, environmental monitoring, and disaster management. Pan-sharpening enhances the spatial resolution of multispectral images by fusing them with high-resolution panchromatic images. Despite this, low spatia...
Open access
Research Article10.9734/ajrcos/2025/v18i5660
The paper discusses the need for effective data cleaning processes to ensure the accuracy and reliability of datasets in machine learning and big data analytics due to the growing volume and complexity of data. Traditional manual cleaning methods are often inefficient and error-p...
Open access
Research Article10.9734/ajrcos/2025/v18i5661
The precise evaluation of credit risk continues to be a crucial component of prudent decision-making and risk management in the banking and lending industries in the ever-changing financial landscape of today. While traditional methods of credit risk analysis, which frequently de...
Open access
Research Article10.9734/ajrcos/2025/v18i5657
The convergence of machine learning, cloud computing, and web technologies is transforming company strategies in digital marketing. As firms increasingly depend on data-driven tactics, machine learning provides robust capabilities for monitoring customer behavior, forecasting tre...
Open access
Research Article10.9734/ajrcos/2025/v18i5658