Experimental and ANN-based model of footing pressure of a layered soil reinforced with geogrid

Layer-wise physicochemical and elemental distribution in an urban river water, Bangladesh: potential pollution, sources, and human health risk assessment

“…The results of the current study were compared with freshwater quality criteria, and the level of As was observed to be several orders of magnitude greater than the water quality permissible standards established by the USEPA. 65 Arsenic concentrations in the current study's water samples were compared to those of other relevant studies at the national and international levels, and the As value was clearly higher than those of the rivers of Turag, 66 Meriç-Ergene River, 67 the Tigris River, 68 the Ganges River, 69 and the Catalan River 70 (Table 3). The highest concentration of Cd was found in surface water at the B13 site (95.6 and 88.0 mg L −1 in the dry and wet seasons, respectively), followed by deep water at the B14 site (89.9 and 63.3 mg L −1 in dry and wet seasons, respectively) (Table 2).…”

On the Potential of Using Random Forest Models to Estimate the Seismic Bearing Capacity of Strip Footings Positioned on the Crest of Geosynthetic-Reinforced Soil Structures

“…The complex task of predicting the bearing capacity of shallow foundations lying on geosynthetic-reinforced soils was recently analyzed using AI techniques [30][31][32][33][34]. Other studies focused on analyzing the bearing capacity of shallow foundations on natural slopes using machine learning (ML) techniques [35][36][37].…”