Accurate building energy consumption prediction plays an important role in building energy
management and energy policy. However, traditional prediction methods of building energy …

A machine learning technique, namely, support vector regression, is implemented to
enhance single-walled carbon nanotube (SWCNT) thin-film performance for transparent and …

Resistance spot welding (RSW) ultrasonic testing signal contains nugget size and internal
defect information which can reflect the mechanical property of spot-welded joint. The …

Nitrogen is the key biochemical component of chlorophyll, protein and enzymes, and it is
widely used as an indicator of photosynthesis and plant nutrient levels. Hyper-spectral data …

Classification with thousands of classes and a large number of features is often
computationally intractable. The presence of irrelevant features can decrease the …

Purpose The purpose of this study is to develop a method to assess social performance.
Traditionally, environment, social and governance (ESG) rating providers use subjectively …

Maintenance in small hydroelectric plants is fundamental for guaranteeing the expansion of
clean energy sources and supplying the energy estimated to be necessary for the coming …

Klasifikasi adalah proses pengelompokkan objek yang memiliki karakteristik atau ciri yang
sama ke dalam beberapa kelas. Klasifikasi dokumen secara otomatis dapat dilakukan …

At present, regression modeling methods fail to achieve higher simulation accuracy, which
limits the application of simulation technology in more fields such as virtual calibration and …

This work considers using camera sensors to detect fire smoke. Static features including
texture, wavelet, color, edge orientation histogram, irregularity, and dynamic features …