Enhanced oil recovery is a technique mostly used to increase oil production from mature oil fields. This is achieved by altering reservoir and/ or fluid properties. There is a quest globally to meet the ever-increasing demand for hydrocarbons in a safe and environmentally friendl...
Open access
Research Article10.9734/jerr/2026/v28i61913
As global freshwater scarcity intensifies, driven by rapid population growth, climate change, and industrialization, desalination has increasingly become a critical water supply strategy, particularly in arid and water-stressed regions. Despite its growing adoption, desalination...
Open access
Research Article10.9734/jerr/2026/v28i61914
Object detection and image segmentation are foundational tasks in computer vision, enabling machines to localise, classify, and delineate objects within images and video streams. Over the past decade, deep learning has transformed these fields beyond recognition, delivering perfo...
Open access
Research Article10.9734/jerr/2026/v28i61911
Water quality monitoring systems are crucial for ensuring the safety and sustainability of water resources. This paper discusses the design, implementation, and applications of a water quality monitoring system, highlighting its role in addressing global water challenges, promoti...
Open access
Research Article10.9734/jerr/2026/v28i61912
Unregulated extraction and transport of crude oil pose significant environmental and public health risks through contamination of air, soil, and groundwater, particularly within the vulnerable vadose zone, where pollutants migrate toward subsurface water resources. This study mod...
Open access
Research Article10.9734/jerr/2026/v28i61910
Massive Multiple-Input Multiple-Output (Massive MIMO) has emerged as a key enabling technology for overcoming these limitations by deploying a large number of antennas at the base station to serve multiple users simultaneously. This study evaluates the performance of Massive Mul...
Open access
Research Article10.9734/jerr/2026/v28i51908
Background: Online streaming platforms generate vast amounts of user interaction data, and recommendation systems use clustering and machine learning techniques to analyze this data and deliver personalized movie suggestions. Aims: Movie recommendation platforms collect a large a...
Open access
Research Article10.9734/jerr/2026/v28i61909
This research emphasizes the importance of determining an optimal inspection interval tailored to the operation of marine diesel engine crankshafts on ships. The primary goal of establishing such an optimal inspection time or interval is to minimize the costs associated with cran...
Open access
Research Article10.9734/jerr/2026/v28i51904
Background: Accurate house price prediction is important for supporting real estate valuation, investment planning, banking decisions, and urban development through data-driven analysis of complex housing factors. Aims: The aim of this study is to compare the predictive performan...
Open access
Research Article10.9734/jerr/2026/v28i51905
Background: In many practical applications, the rheological properties of magnetic fluids (MFs) are essential for ensuring system stability and reliability, while the viscosity, polarity, and thermal stability of the base fluid significantly influence their flow behavior and over...
Open access
Research Article10.9734/jerr/2026/v28i51906