This paper considers a single-machine scheduling problem of minimizing the maximum completion time for a set of independent jobs. The processing time of a job is a non-linear step function of its starting time and due date. The problem is already known to be NP-hard in the literature. In this paper, we first show this problem to be NP-hard in the ordinary sense by proposing a pseudo-polynomial ...

This article considers the parallel machine scheduling problem with step-deteriorating jobs and sequence-dependent setup times. The objective is to minimize the total tardiness by determining the allocation and sequence of jobs on identical parallel machines. In this problem, the processing time of each job is a step function dependent upon its starting time. An individual extended time is pena...

During the process of knowledge discovery in data, imbalanced learning data often emerges and presents a significant challenge for data mining methods. In this paper, we investigate the influence of class imbalanced data on the classification results of artificial intelligence methods, i.e. neural networks and support vector machine, and on the classification results of classical classification...

Imbalanced learning data often emerges during the process of the knowledge discovery in data and presents a significant challenge for data mining methods. In this paper we investigate the influence of class imbalanced data on: artificial intelligence methods i.e. neural networks and support vector machine and on classical classification methods represented by RIPPER and Naïve Bayes classifier. ...

The deterioration of a bridge’s deck endangers its safety and serviceability. Ohio has approximately 45,000 bridges that need to be monitored ensure their structural integrity. Adequate prediction the at an early stage is critical preventing failures. objective this research was develop accurate model for predicting bridge conditions in Ohio. A comprehensive literature review revealed past rese...

Abstract. Ozone (O3) is a secondary pollutant in the atmosphere formed by photochemical reactions that endangers human health and ecosystems. O3 has aggravated Asia recent decades will vary future. In this study, to quantify impacts of future climate change on pollution, near-surface concentrations over 2020–2100 are projected using machine learning (ML) method along with multi-source data. The...