ABSTRACT Children are adept statistical learners, capable of parsing streams of structured input into meaningful units, but the cognitive processes they engage during learning may differ from those of adults. To date, however, it is unclear how learners of different ages predict upcoming experience when navigating environments with complex structure ...
Kate Nussenbaum +4 more
wiley +1 more source
A Large-Scale Dataset of Distributed Renewable Energy Scenarios on the IEEE-33 Bus Network. [PDF]
Chen Y, Xie H, Huang W, Li P.
europepmc +1 more source
A two-stage multi-objective optimization framework for coordinated EV charging scheduling and reactive power dispatch. [PDF]
Badr MS, Sharaf HM, Zobaa AM.
europepmc +1 more source
Placement and sizing of photovoltaic and bio-waste unit with hydrogen storage considering economic energy management of intelligent distribution network. [PDF]
Younes R +7 more
europepmc +1 more source
Diurnal and day-to-day movement patterns of finishing pigs on deep straw bedding during the last 20 d before slaughter. [PDF]
Ocepek M.
europepmc +1 more source
A systematic review of the last two decades of NK cell-based clinical trials: state of the art of AML therapy. [PDF]
Bakhtiyaridovvombaygi M +14 more
europepmc +1 more source
Design and techno-economic validation of a university campus hybrid microgrid using HOMER Pro and DIgSILENT PowerFactory. [PDF]
Hasan MM +7 more
europepmc +1 more source
This paper proposes analytical models for optimizing a bus and rail transit system with feeder bus services under different market regimes. The market regimes concerned include: monopoly (with profit maximization), social optimum (with social welfare maximization), and oligopoly. In the proposed models, transit operator aims to optimize the frequencies
Lam, WHK, Wong, SC, Li, ZC
openaire +4 more sources
Developing Integrated Schedules for Urban Rail and Feeder Bus Operation
This paper discusses a model for developing optimal integrated schedules for urban rail and feeder bus operation. It consists of two parts: train scheduling submodel and schedule coordination submodel, which are formulated as combinatorial type optimization problems.
VERMA, A, DHINGRA, SL
openaire +3 more sources

