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Abstract Surgical planning for clear cell renal cell carcinoma (ccRCC) is highly dependent on tumor aggressiveness. However, current decisions are predominantly based on postoperative pathology, limiting opportunities fo...

Abstract The increasing penetration of photovoltaic distributed generation (PV-DG) in Radial Distribution Systems (RDSs) plays a vital role in achieving sustainable energy transition objectives; however, the inherent unc...

Abstract This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egy...

Abstract Land use change and soil depth are key determinants of soil fertility in tropical highland agroecosystems; however, their interactive effects remain insufficiently quantified in the Ethiopian highlands. This stu...

Abstract While housing price prediction is well-studied, the prediction of large-scale housing conditions remains underexplored due to data limitations. This paper addresses this gap by developing a machine-learning mode...

Abstract The deployment of Level 4–5 autonomous vehicles (AVs) in real traffic environments presents significant challenges for pedestrian interaction, primarily due to the absence of human driver cues. To address this...

Abstract This study explores the subjective estimation of vehicle occupancy (SEVO) in public passenger transport (PPT), with a focus on demographic, situational, and environmental factors. Addressing a gap in research wi...

Abstract Transradial approach (TRA) is preferred over transfemoral approach (TFA) for percutaneous coronary interventions due to lower bleeding, vascular complications, and mortality, particularly in acute coronary syndr...