Optimization of neural-network model using a meta-heuristic algorithm for the estimation of dynamic Poisson's ratio of selected rock types. [PDF]
Sci Rep, 2023 Waqas U +3 more
europepmc +1 more source
Sustainable Development, EarlyView.ABSTRACT Tourism is a major driver of coastal economies worldwide, yet it is also a growing source of pressure on blue carbon ecosystems (BCEs) such as mangroves, seagrasses, and salt marshes. Nowadays, tourism‐led conservation/restoration is increasingly promoted under the banner of regenerative tourism, but how these projects are motivated ...
Ahalya Suresh +5 more
wiley +1 more source
A novel meta-heuristic algorithm based on candidate cooperation and competition. [PDF]
Sci RepCong Y, Yang B, Wei J.
europepmc +1 more source
A smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm. [PDF]
Sci Rep, 2023 Kumar M +6 more
europepmc +1 more source
Two Efficient Meta-Heuristic Algorithms for the Robust Inventory Routing Problem with Backhaul
, 2020 Rahmat Arab +2 more
openalex +2 more sources
Information Dynamics and Learning in Complex Adaptive Systems: Toward a Transdisciplinary Framework
Systems Research and Behavioral Science, EarlyView.ABSTRACT This article develops a framework for understanding learning and adaptation in complex adaptive systems. Drawing from neuroscience, systems theory, information theory and quantum field theory, it examines how information processing, plasticity and systemic coherence emerge from distributed, nonlinear and feedback‐driven interactions. It argues
Anderson de Souza Sant'Anna
wiley +1 more source
A scalable adaptive strategy for influence maximization in temporal social networks via vulture based meta heuristic. [PDF]
Sci RepLiu L, Huang B, Lai S.
europepmc +1 more source
A Novel Approach to Energy Management in Electric Steelworks
steel research international, EarlyView.Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
A hybrid approach leveraging meta-heuristic and ensemble learning for time-sensitive prediction of pollutant concentrations. [PDF]
Sci RepKansal P, Bedi J, Jain S.
europepmc +1 more source
Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks. [PDF]
J Pers Med, 2023 Kurdi SZ +6 more
europepmc +1 more source