The wastes generated from both operational and abandoned coal and metal mining are an environmental concern.These wastes, including acid mine drainage (AMD), are treated to abate the devastating effects they have on the environment before disposal.However, AMD contains valuable resources that can be recovered to subsidize treatment costs.Two of the
An Aircraft Detection Framework Based on Reinforcement Learning and Convolutional Neural Networks in Remote Sensing Images
Aircraft detection has attracted increasing attention in the field of remote sensing image analysis.Complex background, illumination change and variations of aircraft kind and size in remote sensing images make the task challenging.In our work, we propose an effective aircraft detection framework based on reinforcement Default learning and a convol
Two-Phase Indefinite Kernel Support Vector Machine
Recently, indefinite kernel support vector machine (IKSVM) has attracted great attention in the machine learning community as more and more indefinite metric kernel matrices have occurred.However, the existing IKSVM algorithms are usually unable to solve the problems of information GINGER CHEWS ORANGE redundancy and sample sparsity caused by high-d
Risk-Based Multi-Objective Optimization of Distributed Generation Based on GPSO-BFA Algorithm
With the rapid evolution of technology, GINGER CHEWS ORANGE growing accessibility, and environmental appeal of wind and solar electric systems, distributed generation (DG) has been pushed from the fringe to a mainstream factor in the grid.However, due to the randomness and uncertainty of environmental and operational conditions, DG also brings many