Enhancing urban traffic congestion prediction through efficientnet and optimized ensemble learning models. [PDF]
Vatambeti R +6 more
europepmc +1 more source
Abstract Researchers and policymakers assert competing behavioral models of polluters. One model portrays polluters as best approximated by the perfectly informed, rational actor from economics textbooks. Another model portrays polluters, particularly small and medium facilities, as imperfectly informed, cognitively bounded, pro‐social actors.
Paul J. Ferraro, Jay P. Shimshack
wiley +1 more source
NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]
Yu X +6 more
europepmc +1 more source
Herbaria worldwide hold centuries of plant data that are key to understanding and protecting biodiversity; however, even with increased digital access, differences in plant naming systems make it difficult to compare records. We developed a semi‐automated workflow that standardises species names and organises herbaria records from multiple institutions
Brandon Samuel Whitley +17 more
wiley +1 more source
Research on complex financial decision making driven by geometric aggregation and intelligent optimization of high-dimensional expert information. [PDF]
Qian Y +5 more
europepmc +1 more source
A synthetic eco‐evolutionary proposal for the conservation of wild relatives of the olive tree
Societal Impact Statement Crop wild relatives (CWR) are valuable sources of genetic diversity for plant breeding. However, the identification of wild untapped genetic resources (i.e., unexploited in crops) is not always straightforward. We propose a methodology to guide the identification and conservation of these resources that integrates both genetic
Andrés Barea‐Márquez +6 more
wiley +1 more source
Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation. [PDF]
Benhammou A +3 more
europepmc +1 more source
Medicinal plants used in ethnobotanical traditions to treat or prevent diseases have gained renewed interest for their largely untapped potential in drug discovery. In this study, we developed and tested novel methods to prioritise plant species based on their unexplored medicinal potential. By enabling researchers to target the most promising species,
Giovanni Zecca +3 more
wiley +1 more source
QPSODRL: an improved quantum particle swarm optimization and deep reinforcement learning based intelligent clustering and routing protocol for wireless sensor networks. [PDF]
Guangjie L.
europepmc +1 more source

