Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection [PDF]
, 2022 Bilal H. Abed-alguni +3 more
openalex +1 more source
Democracy and Education: Defending the Humboldtian University and the Democratic Nation-State as Institutions of the Radical Enligtenment [PDF]
, 2005 Endorsing Bill Readings’ argument that there is an intimate relationship between the dissolution of the nation-State, the undermining of the Humboldtian ideal of the university and economic globalization, this paper defends both the nation-State and the ...
Gare, Arran
core +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
Somersault Foraging and Elite Opposition-Based Learning Dung Beetle Optimization Algorithm
Applied SciencesTo tackle the shortcomings of the Dung Beetle Optimization (DBO) Algorithm, which include slow convergence speed, an imbalance between exploration and exploitation, and susceptibility to local optima, a Somersault Foraging and Elite Opposition-Based ...
Daming Zhang, Zijian Wang, Fangjin Sun
doaj +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Optimizing time, cost, and carbon in construction: grasshopper algorithm empowered with tournament selection and opposition-based learning. [PDF]
Sci Rep, 2023 Pham VHS, Vo Duy P, Nguyen Dang NT.
europepmc +1 more source
Learning from the News: Predicting Entity Popularity on Twitter
, 2016 In this work, we tackle the problem of predicting entity popularity on Twitter based on the news cycle. We apply a supervised learn- ing approach and extract four types of features: (i) signal, (ii) textual, (iii) sentiment and (iv) semantic, which we ...
Saleiro, Pedro, Soares, Carlos
core +1 more source
Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids
Advanced Functional Materials, EarlyView.This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source