The analysis explores artificial intelligence-based observability as an operational solution to unite technological structures between Development and Operations systems and Machine Learning Operations systems. Enterprise environments that use machine learning require advanced st...
Open access
Research Article10.9734/ajrcos/2025/v18i6703
The development and implementation of machine learning systems for predicting consumer behaviour is a crucial stage in the digital transformation of business. Machine learning offers unique opportunities for analysing large volumes of data and identifying hidden patterns, signifi...
Open access
Research Article10.9734/ajrcos/2025/v18i6704
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