Results 101 to 110 of about 7,772,956 (333)

A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation [PDF]

, 2011
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been shown to perform better than inductive learners.
Iqbal, Ridwan Al
core   +1 more source

Selective Separation of the Rare Earth Elements Dysprosium and Neodymium via Tailoring Nanocellulose Chemical Structure

Advanced Functional Materials, EarlyView.
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani, Shang‐Lin Yeh, Karuna Anna Sajeevan, Mica L. Pitcher, Dawson Alexander, Ratul Chowdhury, Amir Sheikhi   +6 more
wiley   +1 more source

CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests

BMC Bioinformatics, 2017
The random forests algorithm is a type of classifier with prominent universality, a wide application range, and robustness for avoiding overfitting. But there are still some drawbacks to random forests.
Li Ma, S. Fan
semanticscholar   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Programmable In‐Situ Interactions Between Resins and Photopolymerized Structures for Seamlessly Integrated Optical Manufacturing of Microlenses

Advanced Functional Materials, EarlyView.
This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim, Sangmin Oh, Kahyun Hur, Hyesung Cho   +3 more
wiley   +1 more source

Creative or Not? Birds and Ants Draw with Muscle [PDF]

, 2011
In this work, a novel approach of merging two swarm intelligence algorithms is considered – one mimicking the behaviour of ants foraging (Stochastic Diffusion Search [5]) and the other algorithm simulating the behaviour of birds flocking (Particle Swarm ...
Aber, Ahmed, al-Rifaie, Mohammad Majid, Bishop, Mark (J. M.)   +2 more
core  

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Prenucleation Species Dictate Foreign Ion Incorporation in the Biomineral Precursor Amorphous Calcium Carbonate

Advanced Functional Materials, EarlyView.
ACC forms via aggregating prenucleation clusters that gatekeep its chemical composition. Ion identity steers the path: Ba and Sr substitute Ca in clusters, thereby inhibiting nucleation, with a dose‐dependent switch of Sr to induction. Mg partitions into Mg‐rich and Mg‐poor clusters; the latter form ACC, expelling Mg.
Qianyu Zhao, Patrick Duchstein, Benedikt Demmert, Thi Q. Nhi Dao, Krishnaveni Anjala, Evelyn Gruber, Franziska Gröhn, Dirk Zahn, Dorrit E. Jacob, Stephan E. Wolf   +9 more
wiley   +1 more source

Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm

Water Science and Engineering, 2012
Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were
Wei Xie, Chang-ming Ji, Zi-jun Yang, Xiao-xing Zhang   +3 more
doaj   +1 more source

G/SPLINES: A hybrid of Friedman's Multivariate Adaptive Regression Splines (MARS) algorithm with Holland's genetic algorithm [PDF]

G/SPLINES are a hybrid of Friedman's Multivariable Adaptive Regression Splines (MARS) algorithm with Holland's Genetic Algorithm. In this hybrid, the incremental search is replaced by a genetic search.
Rogers, David
core   +1 more source