Traffic congestion forecasting is a serious challenge to Omani cities, especially Muscat, due to population growth, rapid urbanization, and heavy reliance on private vehicles. Despite government efforts to improve infrastructure, the congestion problem persists. Furthermore, few studies have addressed the issue of cong …
This work explores the problem of microservice orchestration in integrated networks based on efficient deployment methods. A set of methods for orchestrating microservices in dynamic distributed environments with limited and intermittent communication channels was developed and evaluated. After analyzing the architectu …
This study presents an in-depth experimental investigation into the effects of varying bed materials on flow velocity distribution in open channels—a critical consideration in hydraulic engineering and sustainable water resource management (Ab Ghani ,2018). Conducted within a controlled laboratory flume setup, the rese …
Elevated body temperature is often an early indicator of potential COVID-19 infection, making its timely detection crucial for controlling the spread of the virus. Resent research underscores the versatility and advantages of unmanned aerial vehicles (UAVs) in various civilian applications. Building on these strengths, …
This study presents an advanced method for forecasting seasonal and annual rainfall in the Muscat Governorate of Oman, using artificial neural network (ANN) models and a hybrid approach combining wavelet decomposition with neural learning. Historical rainfall data from 1872 to 2017, sourced from Oman’s meteorological r …
This study investigates the structural performance of reinforced concrete (RC) beams incorporating recycled aggregates (RA) and stainless-steel fibers (SSF) derived from commercial metal waste. A total of nine RC beams (1.5 m × 0.15 m × 0.1 m) were cast using varying RA contents (0%, 25%, and 50%) sourced from hollow b …
Successful control of diabetes necessitates continuous observation of blood glucose levels and timely intervention to prevent acute complications. Traditional threshold-based systems often fail to capture subtle glucose fluctuations, particularly in real time. This paper presents a fuzzy logic-based system for dynamica …
Ambient temperature plays an important role in influencing the aerodynamic behaviour and energy efficiency of wind energy systems, particularly valid in arid and semi-arid regions such as Sohar. The present study shows a computational investigation into the effects of temperature variations on the performance of a wind …
Early disease prediction and diagnosis models have piqued the interest of medical professionals. A simple medical examination, such as a chest X-ray, is essential for diagnosing lung conditions such as lung cancer, COVID-19, pneumonia, tuberculosis, and pneumoconiosis. However, the advancements in medical imaging have …
Large pollution impacts on human, animal, and plant health, along with advanced computing technologies capable of managing big data, create new opportunities for applying ML to improve air quality observation. Questions also continue to increase as more are created about how the performance of newer, hybrid ML models i …