Providing real-time and accurate travel time information of transit vehicles can be very helpful as it assists passengers in planning their trips to minimize waiting times.The purpose of this research is to develop and compare dynamic travel time prediction models which can provide accurate prediction of bus travel time in order to give real-time i

Distributed Energy Resources (DER), mainly residential solar PV, are embedded deep within the power distribution network and their adoption is fast increasing globally.As more customers participate, these power generation units cause Reverse Power Flow (RPF) at the edge of the grid, directed upstream into the network, thus violating one of the trad

After the Second World War 70 years have passed.Essentially already gone a generation of people for whom it was not a story, and the nationwide disaster and personal experience.And let time more and more we move away from the victory of 1945, the value and results of the war are enormous for the future of the CABINET modern world.Memory of the Grea

The textile industry is one of the biggest water consumption production areas and its waste is essential to cause ecological contamination as they deliver questionable color, weighty metal, and degradable natural and inorganic results whenever arranged without treatment.The natural treatment strategy is not broadly drilled because of its intricate

Crop change detection study is the foundation of agricultural sustainability.The inherent high spectral resolution of hyperspectral images, combined with multi-temporal CABINET datasets, facilitates the detection of subtle changes.To enhance the accuracy and applicability of hyperspectral change detection in agricultural scenes, this paper introduc