... on benchmark open-source datasets and subsequently applied to real-world company databases combining network, business and customer information. Findings The results demonstrate that the proposed H-ANN significantly improves both classification accuracy and computational efficiency compared to conventional...

...) algorithm to create the HEFTSVM algorithm. We evaluated the model’s effectiveness through comparative experiments on 39 datasets with varying imbalance levels. Findings Experimental results validate the effectiveness of HEFTSVM in addressing class imbalance classification problems, achieving an average...

... In this study, a novel ensemble AI approach based on optimization and classification is proposed. The proposed ensemble structure consists of three stages: feature selection, classification and combining. In the first stage, important features for each classification method are identified using the binary...

... Limitations of the study are pertaining to data quality and grouping of categories in the data pre-processing stage, which could affect the performance of the models. Originality/value The study is the first of its kind to manipulate risk factors to detect fatal structure classification, particularly...

...Huaxiang Song Purpose Classification of remote sensing images (RSI) is a challenging task in computer vision. Recently, researchers have proposed a variety of creative methods for automatic recognition of RSI, and feature fusion is a research hotspot for its great potential to boost performance...

..., early nonmotor signs of Parkinson’s disease (PD) can be mild and may be due to variety of other conditions. As a result, these signs are usually ignored, making early PD diagnosis difficult. Machine learning approaches for PD classification and healthy controls or individuals with similar medical...

... balanced. The significant reason is to predict the disease in plants and distinguish the type of syndrome with the help of segmentation and random forest optimization classification. In this investigation, the accurate prior phase of crop imagery has been collected from different datasets like cropscience...

...Sudeep Thepade; Rik Das; Saurav Ghosh Purpose Current practices in data classification and retrieval have experienced a surge in the use of multimedia content. Identification of desired information from the huge image databases has been facing increased complexities for designing an efficient...

...Ali Hasan Alsaffar Purpose The purpose of this paper is to present an empirical study on the effect of two synthetic attributes to popular classification algorithms on data originating from student transcripts. The attributes represent past performance achievements in a course, which are defined...

... in the general binary and multi‐class pattern classification framework, with five different common applied classifiers thoroughly compared. Findings Simulation experiments show that PHOG has obvious advantages in the extraction of discriminating information from handwriting signature images compared...

... perception. Near set theory provides a framework for measuring the similarity of digital images (and perceptual objects, in general) based on features that describe them in much the same way that humans perceive objects. Findings The contribution of this paper is a perception‐based classification...

...Yi‐nan Guo; Mei Yang; Da‐wei Xiao Purpose The purpose of this paper is to find a novel optimization selection method for hyper‐parameter of support vector classification (SVC), responsible for the classification of datasets from the UCI machine learning database repository. Design/methodology...

...Pablo A.D. Castro; Fernando J. Von Zuben Purpose The purpose of this paper is to apply a multi‐objective Bayesian artificial immune system (MOBAIS) to feature selection in classification problems aiming at minimizing both the classification error and cardinality of the subset of features...

...Bruno Feres de Souza; Carlos Soares; André C.P.L.F. de Carvalho Purpose The purpose of this paper is to investigate the applicability of meta‐learning to the problem of algorithm recommendation for gene expression data classification. Design/methodology/approach Meta‐learning was used...

...Ntogas Nikolaos; Ventzas Dimitrios Purpose The purpose of this paper is to introduce an innovative procedure for digital historical documents image binarization based on image pre‐processing and image condition classification. The estimated results for each class of images and each method have...