May 2025
Accurate apple quality prediction is crucial for ensuring postharvest efficiency, consumer satisfaction, and sustainable agricultural practices. Traditional methods based on manual inspection and destructive testing are often subjective and inefficient, prompting the need for automated, data-...
This review paper explores recent advancements in artificial intelligence (AI), machine learning (ML), and digital transformation across various domains, including customer engagement, financial technology, healthcare, education, and marketing. Key studies highlight the role of AI chatbots in...
Data partitioning and load balancing are fundamental techniques in distributed database systems, ensuring efficient data storage, retrieval, and query execution across multiple nodes. Data partitioning strategies, including horizontal, vertical, and hybrid approaches, optimize data distribution...
Fruit classification has emerged as a crucial field within agricultural automation, enabling quality control, ripeness assessment, and disease detection with greater precision and efficiency. This review paper explores contemporary advancements in fruit classification techniques, focusing on the...
Aims: The aim of this paper is to propose a ten-year strategic framework that addresses the challenges of electric vehicle (EV) battery waste disposal and recycling. The framework seeks to incorporate innovative renewable power solutions, advanced recycling technologies, lifecycle assessment...
Aims: This study aims to analyze the factors influencing Indonesia’s Environmental Quality Index (IKLH) using nonparametric regression methods, specifically Multivariate Adaptive Regression Spline (MARS) and multipredictor truncated spline. Study Design: A quantitative study applying...