Results 51 to 60 of about 19,735 (267)
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Mining association rules in multiple relations [PDF]
The application of algorithms for efficiently generating association rules is so far restricted to cases where information is put together in a single relation. We describe how this restriction can be overcome through the combination of the available algorithms with standard techniques from the field of inductive logic programming.
Dehaspe, Luc, De Raedt, Luc
openaire +1 more source
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li +9 more
wiley +1 more source
Mining Association Rules for Label Ranking [PDF]
Recently, a number of learning algorithms have been adapted for label ranking, including instance-based and tree-based methods. In this paper, we propose an adaptation of association rules for label ranking. The adaptation, which is illustrated in this work with APRIORI Algorithm, essentially consists of using variations of the support and confidence ...
Cláudio Rebelo de Sá +4 more
openaire +2 more sources
Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar +8 more
wiley +1 more source
Privacy Preserving Association Rule Mining: Taxonomy, Techniques, and Metrics
In the last decades, pervasive computing is generating a growing quantity of data. Data mining (DM) technology has become increasingly popular.
Lili Zhang, Wenjie Wang, Yuqing Zhang
doaj +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
In association rule mining, evaluating an association rule needs to repeatedly scan database to compare the whole database with the antecedent, consequent of a rule and the whole rule. In order to decrease the number of comparisons and time consuming, we
Jie Zhang, Yuping Wang, Junhong Feng
doaj +1 more source
On Supporting Interactive Association Rule Mining [PDF]
We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (filters) on the associations to be generated. Our approach is a combination of the incorporation of filtering conditions inside the mining phase, and the filtering of already generated associations.
Bart Goethals, Jan Van den Bussche
openaire +4 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

