Payal B Joshi
Payal B Joshi
Chemometrics and machine learning are artificial intelligence-based methods stirring a transformative change in chemistry. Organic synthesis, drug discovery and analytical techniques are incorporating machine learning techniques at an accel...
Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures [0.03%]
高斯简化 slime mould 算法：性能优化及在桁架结构中的案例研究
Shubiao Wu,Ali Asghar Heidari,Siyang Zhang et al.
Shubiao Wu et al.
The slime mould algorithm (SMA) is a new meta-heuristic algorithm recently proposed. The algorithm is inspired by the foraging behavior of polycephalus slime moulds. It simulates the behavior and morphological changes of slime moulds during...
Generalized q-rung orthopair fuzzy interactive Hamacher power average and Heronian means for MADM [0.03%]
广义q-正交模糊交互Hamacher幂平均和Heronian平均算子在MADM中的应用
Jinjun Li,Minghao Chen,Shibing Pei
Jinjun Li
In this paper, we establish a novel q-rung orthopair fuzzy (q-ROF) multi-attribute decision making (MADM) model on the basis of the proposed q-ROF interactive Hamacher weighted adjustable power average (q-ROFIHWAPA) and q-ROF interactive Ha...
H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading [0.03%]
基于混合Harris鹰优化算法的轻量梯度提升机实时交易模型(H3O-LGBM)
Vaishali Gupta,Ela Kumar
Vaishali Gupta
The gross domestic product (GDP) of a country is mainly dependent on its trade and external sector which improves the country's income. According to FY2021-2022, India's nominal GDP is estimated to be 3.12 trillion US dollars. Overall expor...
Jingfeng Cui,Zhaoxia Wang,Seng-Beng Ho et al.
Jingfeng Cui et al.
Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysi...
Josep Alòs,Carlos Ansótegui,Eduard Torres
Josep Alòs
We present an approach to improve the accuracy-interpretability trade-off of Machine Learning (ML) Decision Trees (DTs). In particular, we apply Maximum Satisfiability technology to compute Minimum Pure DTs (MPDTs). We improve the runtime o...
The goat search algorithms [0.03%]
山羊搜索算法
Sujit Kumar De
Sujit Kumar De
This article develops an evolutionary nature inspired algorithm based on the social behavior of the goat, a pet of a farmer in a village life. In village life, we generally see the shepherds keep their goats free/untie from collar thread fo...
Weakly-supervised learning method for the recognition of potato leaf diseases [0.03%]
弱监督学习在马铃薯叶部病害识别中的应用方法研究
Junde Chen,Xiaofang Deng,Yuxin Wen et al.
Junde Chen et al.
As a crucial food crop, potatoes are highly consumed worldwide, while they are also susceptible to being infected by diverse diseases. Early detection and diagnosis can prevent the epidemic of plant diseases and raise crop yields. To this e...
Connectivity indices of m-polar fuzzy network model, with an application to a product manufacturing problem [0.03%]
m-极模糊网络模型的连接性指数及其在产品制造问题中的应用
Muhammad Akram,Saba Siddique,José Carlos R Alcantud
Muhammad Akram
Connectivity is among the most essential concerns in graph theory and its applications. We consider this issue in a framework that stems from the combination of m-polar fuzzy set theory with graphs. We introduce two measurements of connecte...
Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions [0.03%]
圆直觉模糊集的改进距离测度及其在逼近理想解排序方法中的应用技术
Ting-Yu Chen
Ting-Yu Chen
Circular intuitionistic fuzzy (C-IF) sets are an up-and-coming tool for enforcing indistinct and imprecise information in variable and convoluted decision-making situations. C-IF sets, as opposed to typical intuitionistic fuzzy sets, are be...