Active learning (AL) aims to find a better trade-off between labeling costs and model performance by consciously selecting more informative samples label. Recently, adversarial approaches have emerged as effective solutions. Most of them leverage generative networks align feature distributions labeled unlabeled data, upon which discriminators are trained distinguish them. However, these methods...

A new voltage-mode triple-input single-output multifunction filter using only two current conveyors is presented. The proposed filter which possesses three inputs and single-output can generate all biquadratic filtering functions at the output terminal by selecting different input signal combinations. The validity of the proposed filter is verified through PSPICE simulations. Keywords—Active Fi...

This paper presents a new multi-objective coupled energy and reactive power market clearing model namely the MO-CERPMC model in day-ahead competitive market environment. In proposed model, both the active and reactive power markets are considered as coupled markets and cleared in a same time frame. The multi-objective optimization problem involves the minimization of total payment functions for...

the used activated carbon was derived from pine-cone and was used for the removal of acid black 1(ab1) and acid blue 113(ab113) dyes. a batch sorption study was carried out in order to obtain optimum isotherm model. the study showed the best fit of the adsorption isotherm data was obtained using the langmuir model for both dyes. the monolayer maximum saturation capacities of ab1 and ab113 dyes ...

Using the Portuguese interactive television service from TV Cabo as a working basis, this paper discusses the potential of communication services such as chat, forums and multi-user games to act as iTV community builders and to become real iTV killer applications. In the three cases presented in this paper – multi-player iTV games, interactive football matches and iTV talk-show “Noites Interact...

This paper considers a time dependent(the travel time is not constant throughout the day) pollution routing problem (TDPRP), which aids the decision makers in minimizing travel time, toll cost and emitted pollution cost.  In complexity of urban areas most of the time one point is accessible from another with more than one edge. In contrast to previous TDPRP models, which are designed with only ...