machine learning supremacy projectThis report presents the key talking points in the First Workshop on the Future of Machine Learning in Geotechnics (FOMLIG), that include data infrastructure, geotechnical context, computational cost, and human judgment. On the first point, it was argued that ...
practice. ML or AI applications that demonstrate value to decision making in real-world projects using actual database are welcome. Other relevant topics have been discussed in the report “Future of Machine Learning in Geotechnics (FOMLIG), 5-6 Dec 2023, Okayama, Japan”, Georisk: Assessment ...
Numerous algorithms using presence and/or absence data have been developed to predict the geographical distribution of a given species (Soberón and Peterson, 2005; Elith et al., 2006; Elith and Leathwick, 2007, 2009). The maximum entropy (MaxEnt) modeling, however, is a machine learning ...
The effect of anti-jamming in different scenarios [ 40] 上述方法主要考虑抑制干扰在目标频率附近范围的能量,Feng等人 [ 41] 在感知干扰频段等信息后,考虑了最小化发射信号在干扰频段内的频谱幅度,提出了一种谱逼近松弛交替投影的恒模波形设计方法,生成具有低距离旁瓣和指定频谱功率抑制的波形。 针对滞后目标回...
Given that our present property development projects are located in the prime urban areas of Kuala Lumpur and Penang Island, our maiden foray into Johor represents an exciting new growth engine for the Group. In addition to the prominence of our partners in the Iskandar project, E&O's timing ...
The future of machine learning in geotechnics should be envisioned with this "data first practice central" agenda in mind. Data-driven site characterization (DDSC) is an active research topic in this agenda because an understanding of the ground is crucial in all projects. Examples of DDSC ...