Abstract: A method for allocating perishable products based on machine learning, includes using a sales estimation model to evaluate estimated sales of a plurality of perishable products in a predetermined period, using a rating model to calculate a predetermined rate of the plurality of perishable products in the predetermined period according to the estimated sales, using an allocation model to adjust an allocation ratio of the plurality of perishable products in a plurality of marketing channels according to the estimated sales and the predetermined rate if a current rate is lower than the predetermined rate, and determining the numbers of perishable products allocated to the plurality of marketing channels according to the allocation ratio.

Abstract: A thin film transistor includes an active layer located over a substrate, a first gate stack including a stack of a first gate dielectric and a first gate electrode and located on a first surface of the active layer, a pair of first contact electrodes contacting peripheral portions of the first surface of the active layer and laterally spaced from each other along a first horizontal direction by the first gate electrode, a second contact electrode contacting a second surface of the active layer that is vertically spaced from the first surface of the active layer, and a pair of second gate stacks including a respective stack of a second gate dielectric and a second gate electrode and located on a respective peripheral portion of a second surface of the active layer.

Abstract: A rate adjustment method includes a rate estimation model generating a plurality of estimated rates according to a plurality of training data, a revenue estimation model generating an estimated revenue according to the plurality of estimated rates, updating the rate estimation model according to the estimated revenue to generate an updated rate estimation model, and inputting a plurality of current data into the updated rate estimation model to update the plurality of estimated rates.

Abstract: An active field emission substrate including a thin film transistor (TFT) substrate and a field emission device substrate is provided. The TFT substrate has a plurality of TFTs, and each TFT at least includes a source, a drain, and a gate. The field emission device substrate is disposed on the TFT substrate and has a plurality of conductive channels and a plurality of field emission sources. Each conductive channel passes through the field emission device substrate and is electrically connected with each field emission source. Moreover, each conductive channel in the field emission device substrate is electrically conducted with the source or the drain of each TFT in the TFT substrate. The active field emission substrate is made up of two substrates fabricated by separate processes, so the procedures can be simplified and the yield can be improved.