Browsing byAuthorGandomi, AH

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Issue DateTitleAuthor(s)
2023-05-01Universal research index: An inclusive metric to quantify scientific research outputKeshavarz-Fathi, M; Yazdanpanah, N; Kolahchi, S; Ziaei, H; Darmstadt, GL; Dorigo, T; Dochy, F; Levin, L; Thongboonkerd, V; Ogino, S; Chen, WH; Perc, M; Tremblay, MS; Olusanya, BO; Rao, IM; Hatziargyriou, N; Moradi-Lakeh, M; Bella, F; Rosivall, L; Gandomi, AH; Sorooshian, A; Gupta, M; Gal, C; Lozano, AM; Weaver, C; Tanzer, M; Poggi, A; Sepanlou, SG; Weiskirchen, R; Jambrak, AR; Torres, PJ; Capanoglu, E; Barba, FJ; Ernest, CKJ; Sigman, M; Pluchino, S; Gharehpetian, GB; Fereshtehnejad, SM; Yang, MH; Thomas, S; Cai, W; Comini, E; Scolding, NJ; Myles, PS; Nieto, JJ; Perry, G; Sedikides, C; Rezaei, N
2021-01-01Unsupervised Condition Monitoring of Structures Using VMD and Isolation ForestMousavi, M; Gandomi, AH
2023-12-01Unveiling the potential of an evolutionary approach for accurate compressive strength prediction of engineered cementitious compositesDavarpanah T.Q., A; Masoodi, AR; Gandomi, AH
2022-01-01Using genetic programming on GPS trajectories for travel mode detectionNamdarpour, F; Mesbah, M; Gandomi, AH; Assemi, B
2019-04-15Using semi-independent variables to enhance optimization searchGandomi, AH; Deb, K; Averill, RC; Rahnamayan, S; Omidvar, MN
2022-05-15Variable Functioning and Its Application to Large Scale Steel Frame Design OptimizationGandomi, AH; Deb, K; Averill, RC; Rahnamayan, S; Omidvar, MN
2023-01-01Variable functioning and its application to large scale steel frame design optimizationGandomi, AH; Deb, K; Averill, RC; Rahnamayan, S; Omidvar, MN
2022-01-01Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning TechniquesAbualigah, L; Zitar, RA; Almotairi, KH; Hussein, AM; Elaziz, MA; Nikoo, MR; Gandomi, AH
2021-11-08Wood hole-damage detection and classification via contact ultrasonic testingMousavi, M; Gandomi, AH
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