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Issue DateTitleAuthor(s)
2022-08-10A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm.Nguyen, TT; Ngo, HH; Guo, W; Chang, SW; Nguyen, DD; Nguyen, CT; Zhang, J; Liang, S; Bui, XT; Hoang, NB
2022-08-01Exploring potential machine learning application based on big data for prediction of wastewater quality from different full-scale wastewater treatment plants.Ly, QV; Truong, VH; Ji, B; Nguyen, XC; Cho, KH; Ngo, HH; Zhang, Z
2022-01-01Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms.Nguyen, XC; Nguyen, TTH; Le, QV; Le, PC; Srivastav, AL; Pham, QB; Nguyen, PM; La, DD; Rene, ER; Ngo, HH; Chang, SW; Nguyen, DD
2022-12Improving energy consumption prediction for residential buildings using Modified Wild Horse Optimization with Deep Learning model.Vasanthkumar, P; Senthilkumar, N; Rao, KS; Metwally, ASM; Fattah, IM; Shaafi, T; Murugan, VS
2022-09-01Automated machine learning-based prediction of microplastics induced impacts on methane production in anaerobic digestion.Xu, R-Z; Cao, J-S; Ye, T; Wang, S-N; Luo, J-Y; Ni, B-J; Fang, F
2021-02-13Vertical flow constructed wetlands using expanded clay and biochar for wastewater remediation: A comparative study and prediction of effluents using machine learningNguyen, XC; Ly, QV; Peng, W; Nguyen, V-H; Nguyen, DD; Tran, QB; Huyen Nguyen, TT; Sonne, C; Lam, SS; Ngo, HH; Goethals, P; Le, QV
2022-10Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images.Kaplan, E; Chan, WY; Dogan, S; Barua, PD; Bulut, HT; Tuncer, T; Cizik, M; Tan, R-S; Acharya, UR
2021-08Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer.Hossain, MJ; Chowdhury, UN; Islam, MB; Uddin, S; Ahmed, MB; Quinn, JMW; Moni, MA
2017-11Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine.Silitonga, AS; Hassan, MH; Ong, HC; Kusumo, F
2022-12XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions.Karbassiyazdi, E; Fattahi, F; Yousefi, N; Tahmassebi, A; Taromi, AA; Manzari, JZ; Gandomi, AH; Altaee, A; Razmjou, A
Results 1-10 of 22 (Search time: 0.012 seconds).