Results 111 to 120 of about 65,008 (228)
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management [PDF]
We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management. It relies on temporal objectives given for every point of the flight plans and shared among the controllers in order ...
Marceau, Gaétan +2 more
core +2 more sources
MULTIOBJECTIVE OPTIMIZATION (MOO) IN PRIVATIZATION
Deregulation of public enterprises and services by privatization is very fashionable nowadays. The aim of privatization is mainly to increase effectiveness, while the government itself likes to maximize its revenue at the occasion of the takeover.
openaire +6 more sources
ABSTRACT This study proposes a novel integrated system (SDKC‐DORC) that combines a split‐flow dual‐pressure Kalina cycle with a secondary organic Rankine cycle for the synergistic utilization of solar energy and liquefied natural gas (LNG) cold energy.
Ke Xiao +6 more
wiley +1 more source
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu +5 more
wiley +1 more source
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information [PDF]
Several contributions to the hydrological literature have brought into question the continued usefulness of the classical paradigm for hydrologic model calibration.
Gupta, HV, Sorooshian, S, Yapo, PO
core +1 more source
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye +5 more
wiley +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Most of the modern multiobjective optimization algorithms are based on the search technique of genetic algorithms; however the search techniques of other recently developed metaheuristics are emerging topics among researchers. This paper proposes a novel
Vimal Savsani +3 more
doaj +1 more source
Discrete Multiobjective Optimization [PDF]
Multiple objective combinatorial optimization(MOCO) has become a quickly growing field in multiple objective optimization, and has recently attracted the attention of researchers both from the fields of multiple objective optimization and from single objective integer programming.
openaire +1 more source

