Resistive RAM crossbar arrays offer an attractive solution to minimize off-chip data transfer
and parallelize on-chip computations for neural networks. Here, we report a …

A substantial drug release from poly (lactic-co-glycolic) acid (PLGA) micro-and nanoparticles
can occur in the first hours of immersion, which is referred to as burst release. A strong burst …

Inspired from the computational efficiency of the biological brain, spiking neural networks
(SNNs) emulate biological neural networks, neural codes, dynamics, and circuitry. SNNs …

We put forward a novel learning methodology for ensembles of decision trees based on a
genetic algorithm that is able to train a decision tree for maximizing both its accuracy and its …

Genetic algorithm is one of the commonly used approaches on machine learning. In this
paper, we put forward a genetic algorithm approach for pruning decision tree. Binary coding …

The scale of Taiwan's mold industry was ranked the sixth in the world. But, under the global
competitive pressure, Taiwan has lost its competitive advantage gradually. The only chance …

寒 盡 다 며 龜 T 4 騰 霧 暢 霧 暢 TTTTT 본 논문은 결합된 의사결정 나무 (C45) 와 신경망기법을
적용합으로써 고객의 신용에 대한 예측을 높이기 위하여이동통신 고객의 패턴을 분류하고 …

Decision trees are well-known and established models for classification and regression. In
this paper, we focus on the estimation and the minimization of the misclassification rate of …

This paper presents an explainable late-stage decision fusion model for Electro-Optical (EO)
and Passive Radio Frequency (P-RF) target detection via hybrid Explainable AI model …

The decision tree is a well-known methodology for classification and regression. In this
dissertation, we focus on the minimization of the misclassification rate for decision tree …