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
This manuscript presents a well-executed and timely investigation into how AI-driven predictive analytics can empower niche retail markets through hyper-personalized marketing. It addresses a significant gap in the current literature by focusing on smaller retail businesses that...
Open access
Research Article10.9734/ajrcos/2025/v18i6687
Although traditional cuff-based blood pressure (BP) monitoring is sporadic and laborious, BP is essential for cardiovascular health. We review deep learning approaches for cuff-less blood pressure estimation, such as CNNs, RNNs, Transformer models, and attention processes, and pr...
Open access
Research Article10.9734/ajrcos/2025/v18i6685
Alzheimer’s disease (AD) is a progressive and incurable neurological disorder that affects both cognitive and motor functions, including fine motor skills such as handwriting. Early diagnosis is crucial to slow the progression and improve patient outcomes, especially as current t...
Open access
Research Article10.9734/ajrcos/2025/v18i6683