Convolutional neural network (CNN) comprises the most common and extensively used
network in the field of deep learning (DL). The design of CNNs was influenced by neurons …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …

Critical to the resilience of utility power lines, tree failure assessments have historically been
performed via costly manual inspections. In this paper, we develop a convolutional neural …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …

Critical infrastructure (CI) are at risk of failure due to the increased frequency and magnitude
of climate extremes related to climate change. It is thus essential to include them in a risk …