Machine learning-based method for predicting compressive strength of concrete
HIGHLIGHTS who: Daihong Li and collaborators from the China Gezhouba Group Three Gorges Construction Engineering Co, Ltd, Yichang, China School […]
HIGHLIGHTS who: Daihong Li and collaborators from the China Gezhouba Group Three Gorges Construction Engineering Co, Ltd, Yichang, China School […]
HIGHLIGHTS who: Jorge Brieva and collaborators from the Facultad de Ingenieru00eda, Universidad Panamericana, Augusto Rodin, Ciudad de Mu00e9xico, Mexico have
HIGHLIGHTS who: Aiko Urushibara from the This retrospective study was approved by the Ethics Committee of University of Tsukuba Hospital
HIGHLIGHTS who: Hao Jiang from the SchoolZhengzhou University have published the research work: The state prediction method of the silk
HIGHLIGHTS who: Stuart McLennan and collaborators from the Institute of History and Ethics in Medicine, TUM School of Medicine, Technical
HIGHLIGHTS who: Yangzhou Xiang and colleagues from the University of Agriculture, Faisalabad, University of Kurdistan, Iran have published the research
HIGHLIGHTS who: Hakim Saibi from the College of Science, United Arab Emirates University, Alu2011Ain, UAE Schlumberger, Tokyo, Japan have published
HIGHLIGHTS who: Tin Hunter from the HKR [38] is a recently published dataset of modern Russian and Kazakh languagesThis database
HIGHLIGHTS who: Susu Xu from the Landslides, Central Italy have published the research work: Seismic multi-hazard and impact estimation via
HIGHLIGHTS who: Jeynes and collaborators from the University of Louisiana at Lafayette have published the research work: Special Process Maru00eda