Results 231 to 240 of about 549,517 (292)

Real-Time Reconstruction of the Temperature Field of NSRT's Back-Up Structure Based on Improved RIME-XGBoost. [PDF]

Sensors (Basel)
Zhang SJ, Xu Q, Wang H, Xue F, He FL, Cao XM.   +5 more
europepmc   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Node Collaborative Strategy for 3D Coverage Based on Hopping Adaptive Grey Wolf Optimizer in Wireless Sensor Network. [PDF]

Sensors (Basel)
Wang M, Wu Z, Fan B, Wang Y.
europepmc   +1 more source

Hybrid arithmetic optimization algorithm for telecom network anomaly detection. [PDF]

Sci Rep
Mohamud AH.
europepmc   +1 more source

Research on children's health prediction based on Improved Grey Wolf Optimization algorithm-Random Forest model. [PDF]

Medicine (Baltimore)
Xu H, Hu J.
europepmc   +1 more source

Temperature Control of Nonlinear Continuous Stirred Tank Reactors Using an Enhanced Nature-Inspired Optimizer and Fractional-Order Controller. [PDF]

Biomimetics (Basel)
Ekinci S, Izci D, Almeree A, Tümen V, Gider V, Stoyanov I, Jabari M.   +6 more
europepmc   +1 more source

Improved COOT optimization: An approach to multilevel thresholding in image segmentation. [PDF]

Sci Rep
Singh S, Singh H, Mousavirad SJ, Oliva D, Hussien AG, Abualigah L.   +5 more
europepmc   +1 more source

MESPBO: Multi-Strategy-Enhanced Student Psychology-Based Optimization Algorithm for Global Optimization Problems and Feature Selection Problems. [PDF]

Biomimetics (Basel)
Zhai G, Li S.
europepmc   +1 more source

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Opposition based learning: A literature review

Swarm and Evolutionary Computation, 2018
Abstract Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the opposite relationship among entities. In 2005, for the first time the concept of opposition was introduced which has attracted a lot of research efforts in the last decade.
Shahryar Rahnamayan, Kalayanmoy Deb
exaly   +2 more sources

Improved grasshopper optimization algorithm using opposition-based learning

Expert Systems With Applications, 2018
Abstract This paper proposes an improved version of the grasshopper optimization algorithm (GOA) based on the opposition-based learning (OBL) strategy called OBLGOA for solving benchmark optimization functions and engineering problems. The proposed OBLGOA algorithm consists of two stages: the first stage generates an initial population and its ...
Ahmed A Ewees, Mohamed Abd Elaziz, Essam H Houssein   +2 more
exaly   +2 more sources