We developed a slim double-skin window (SDSW) with the aim of reducing building energy
consumption for cooling and heating, thereby reducing the impact of buildings on climate …

The excessive energy consumption through the last decades especially in air conditioning
due to the negative awareness behaviour of consumers has reflected not only on the …

Countries in south east Asia are mostly experiencing tropical climate conditions. Therefore,
the use of the air conditioning has been increased to reduce the tension and achieve …

Feedfoward neural network (FNN) is popular machine learning technique widely
implemented for image classification, data clustering, object recognition, etc. due to its …

The amount of carbon emission pumped into the atmosphere has led to a rise in global
temperature. Rapid urbanization increased the use of air conditioners, resulting in the urban …

Now a days, the global warming has increased the temperature in the environment that
forced the building occupant to get assisting from the air condition to reduce the heat tension …

Feature selection is a vital technique that enhances the quality of input datasets by reducing
redundancy, noise, and inaccuracies without compromising classifier accuracy. The …

The excessive energy consumption through the last decades especially from the air
conditioning due to the negative awareness behaviour of consumers has reflected not only …

In the countries with tropical climates such as Malaysia, humidity and hot weather are well-
regarded; this weather can affect the heat conditions and indoor room. The effects of the …

District cooling system (DCS) is a popular cooling solution for many institutional applications
in Malaysia due to the energy-saving advantages as compared to traditional individual on …