Results 101 to 110 of about 883,011 (303)
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto+8 more
wiley +1 more source
This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision trees. Algorithms proposed by other researchers use heuristic, usually based on the information gain concept, to induce decision trees greedily. These algorithms are often tailored for a given tree type ( e.g orthogonal), not being able to induce other ...
Llorà Fàbrega, Xavier+1 more
openaire +2 more sources
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu+5 more
wiley +1 more source
Data Mining Decision Trees in Economy [PDF]
Data Mining represents the extraction previously unknown, and potentially useful information from data. Using Data Mining Decision Trees techniques our investigation tries to illustrate how to extract meaningful socio-economical knowledge from large data
Badulescu, Laviniu-Aurelian+1 more
core +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque+5 more
wiley +1 more source
Hardware Acceleration of Sparse Oblique Decision Trees for Edge Computing
This paper presents a hardware accelerator for sparse decision trees intended for FPGA applications. To the best of authors’ knowledge, this is the first accelerator of this type. Beside the hardware accelerator itself, a novel algorithm for induction of
Predrag Teodorovic+1 more
doaj +1 more source
An Automated Approach to the Design of Decision Tree Classifiers [PDF]
P. Argentiero+2 more
openalex +1 more source
An alginate‐based biochar hydrogel (ABC‐hydrogel), derived from sewage sludge, is developed for simultaneous phosphate removal and agricultural reuse. It captures phosphorus from water and gradually releases it as fertilizer, enhancing lettuce growth.
Yu Zhang+4 more
wiley +1 more source
Walnut seeds are enclosed in a remarkably strong shell made of sclerenchyma, separated by a pectin‐rich suture tissue. Different cell shapes and chemical composition of this tissue point to an opening mechanism, which is triggered by cyclic humidity changes.
Sebastian J. Antreich+3 more
wiley +1 more source