Feature selection is a significant task in data mining and machine learning applications
which eliminates irrelevant and redundant features and improves learning performance. In …

Short term load forecasting (STLF) is an important issue for an electricity power system, to
enhance its management efficiency and reduce its operational costs. However, STLF is …

In recent years, microwave mechanical rock breaking—an energy-saving technology with
environmental benefits and high efficiency—is increasingly being used to improve the rock …

The aim of this study is to apply acoustic emission (AE) technique and study the damage
mechanism of the reinforced concrete (RC) beams under four-point bending. Laboratory …

Limestone rock widely exists in various rock engineering, its mechanical behavior and
permeability evolution have a great influence on the safety and stability of related …

Hydraulic fracturing aimed at building a network of fractures in hot dry rock (HDR) often
induces strong seismic risks. However, few studies have focused on seismic risks, and …

Abstract The Nearest Neighbor rule is one of the most successful classifiers in machine
learning. However, it is very sensitive to noisy, redundant and irrelevant features, which may …

Social media sources can be helpful in crisis situations, but discovering relevant messages
is not trivial. Methods have so far focused on universal detection models for all kinds of …

The most common side-effect of chemotherapy is fatigue. Because of its impact on Physical
Performance Status (PPS), the degree of fatigue is a factor considered in chemotherapy …

En-echelon joints are common in rocky slopes and faults, and their instability seriously
threatens the safety of geotechnical engineering. Filling and reinforcing en-echelon joints in …