The study of human factors in cybersecurity is increasingly relevant due to the growing complexity and scale of cyber threats, coupled with the paradoxical position of humans as both a key element of protection and the most vulnerable link in information security systems. This st...
Open access
Research Article10.9734/ajrcos/2025/v18i6699
JavaScript obfuscation has emerged as a pervasive tactic employed by cybercriminals to conceal malicious code and facilitate phishing attacks. As a language supported by over 95% of modern websites, JavaScript provides a fertile ground for exploitation due to its ubiquity and int...
Open access
Research Article10.9734/ajrcos/2025/v18i6700
Semantic search has emerged as a powerful alternative to traditional keyword-based retrieval, particularly in the context of unstructured social media data. This study presents a comparative analysis of a semantic search system based on Sentence-BERT (SBERT) and a conventional ke...
Open access
Research Article10.9734/ajrcos/2025/v18i6701
This study examines the impact of artificial intelligence (AI) on operational efficiency in hotel management, focusing on selected hotels in Southwest Nigeria. The study investigated four objectives: the extent to which AI adoption enhances personalized guest experiences, the ben...
Open access
Research Article10.9734/ajrcos/2025/v18i6698
Data clean rooms have emerged as critical infrastructure for enabling privacy-preserving collaborative analytics across heterogeneous data ecosystems. This article presents a comprehensive examination of the architectural and operational barriers organizations face when implement...
Open access
Research Article10.9734/ajrcos/2025/v18i6696
Currently, the trend within the luxury travel market is to be client-focused by offering a quality and unique experience. As more and more clients’ demand personalization investing in customer journey mapping and tailor-made travel experiences while growing competition in the lux...
Open access
Research Article10.9734/ajrcos/2025/v18i6697
The natural language processing (NLP) field is facing a significant challenge in text generation, which is considered more complex than text understanding. The rapid expansion of electronic communication between people has made research in text generation essential. Websites acro...
Open access
Research Article10.9734/ajrcos/2025/v18i6694
High-dimensional datasets pose significant challenges in machine learning, including overfitting, increased computational complexity, and reduced model interpretability. In response to these challenges, this paper introduces the Three Conditions for Feature Aggregation (3ConFA) f...
Open access
Research Article10.9734/ajrcos/2025/v18i6695
This research explores the transformative function of AI in the improved scalable content creation for micro-influencer marketing agencies. Micro influencer is defined as an individual with social media follower count between 1,000 and 100,000 which provide high engagement rate a...
Open access
Research Article10.9734/ajrcos/2025/v18i6692
The application of AI and ML across various industries, such as manufacturing and petroleum, has led to innovative solutions that enhance productivity, accuracy, and decision-making capabilities. PCA was used to identify key GAI and MLA variables that influence the performance of...
Open access
Research Article10.9734/ajrcos/2025/v18i6693
Fine-grained bird species classification is a challenging task, mainly because the differences between species are often very subtle, and there is typically limited labeled data available for each species. This paper introduces a novel approach that combines multiple deep-learnin...
Open access
Research Article10.9734/ajrcos/2025/v18i6688
We present a robust method for enhancing underwater images that suffer from visual degradation due to light absorption and scattering in water. The approach works with a single image and does not rely on additional hardware or prior information about the underwater scene or condi...
Open access
Research Article10.9734/ajrcos/2025/v18i6689
This study aims to evaluate the effectiveness of the Secure Front-End Automation Framework (SFAF) in enhancing front-end application security and performance compared to traditional web development frameworks. The focus is on client-side encryption and Zero Trust API interactions...
Open access
Research Article10.9734/ajrcos/2025/v18i6690
This study investigates the effectiveness of machine learning algorithms, particularly an optimized eXtreme Gradient Boosting (XGBoost) model, in predicting 30-day ICU readmissions using the MIMIC-III dataset comprising over 40,000 critical care records. Through a quantitative ap...
Open access
Research Article10.9734/ajrcos/2025/v18i6691
Livestock diseases lead to significant economic loss and threaten food security. With the increasing demand for dairy and meat products, maintaining animal health has become a critical global priority. Although farmers and agricultural workers often lack deep technical understand...
Open access
Research Article10.9734/ajrcos/2025/v18i6686