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Jan 12, 2026Open Access
Many diagnostics-focused artificial intelligence techniques in the state-of-the-art rely on combinations of least-squares-based autoregressive models and neural-network-like approaches. Prognostics algorithms can be built on top of the magic numbers generated from their result, but these magic numbers have limited physics-based meaning and a sampling of the system’s behavior in each of the multitude of failed states is likely necessary. In contrast, if a system identification algorithm could acc...
Nov 24, 2025Open Access
Table grapes are an important economic crop with a wide range of cultivars grown across temperate to subtropical regions worldwide. Because different cultivars show significant differences in attributes such as color, taste, shape, price, and seed presence, consumers often find it difficult to make trade-offs when choosing. To address this issue, this study constructed a comprehensive multi-criteria evaluation model for several common table grape cultivars based on the Analytic Hierarchy Process...
Nov 17, 2025Open Access
Based on TOPSIS method, this paper constructs a multi-index decision model to assist college admissions officers to evaluate applicants comprehensively, aiming to provide scientific and objective admission evaluation tools for overseas college admissions officers. By collecting quantitative data of 4 applicants in four dimensions: standardized score, activity experience, personality traits and school attended, an evaluation matrix was constructed, and their relative proximity was calculated and ...
Aug 28, 2024Open Access
In this paper, an EOQ model is developed for deteriorating items with a two-level credit period, where demand is depended on both selling price and advertising. The current market conditions highlight the significance of the selling price in customer decision-making process. It is noticed that both the selling price and advertisement effect on demand. As advertising itself may involve cost, if it effectively leads to increased demand, it can ultimately minimize the total cost of the product in a...
Jul 26, 2024Open Access
In this paper, based on the BP neural network, several main optimization models in the prediction of foundation pit deformation are analyzed, including GA-BP, PSO-BP, SSA-BP, ACO-BP prediction models. Several different models predict the deformation during the construction of the foundation pit, and clarify the advantages and disadvantages of different models and the advantages of integrating the algorithm into the deformation prediction of deep foundation pits in civil engineering.
Mar 23, 2020Open Access
Highway sight distance is a measure of roadway visibility, which is an important factor in the assessment of road safety. Greater visibility can provide motorists more time to avoid crashes and conflicts, facilitating safe and efficient operation. However, poor visibility can reduce the driver’s ability to react to changing conditions and is a significant factor in roadway crashes and near collisions. A driver’s ability to view ambient roadway conditions is necessary for safe operation of a vehi...
Apr 30, 2019Open Access
Finding an initial basic feasible solution is the prime requirement to obtain an optimal solution for the transportation problems. In this paper, two methods are proposed to find an initial basic feasible solution for the transportation problems. The South-East Corner Method (SECM) and the North-East Corner Method (NECM) are adopted to compute the Initial Basic Feasible Solution (IBFS) of the transportation problem. A comparative ...
Oct 11, 2018Open Access
In this paper, we consider the slack due-window assignment model and study a single machine scheduling problem of linear time-dependent deteriorating jobs and a deteriorating maintenance activity. The objective is to find the job schedule having an assigned maintenance activity and due-windows with the minimum total cost consisting of costs of earliness, tardiness, window location and window size. A polynomial-time algorithm is presented in this paper with time complexity for n jobs.
May 05, 2017Open Access
This paper deals with the
global optimization of several variables Holderian functions. An algorithm using a
sequence of overestimators of a single variable objective function was developed converging
to the maximum. Then by the use of α-dense curves, we show how to
implement this algorithm in a multidimensional optimization ...
Aug 19, 2016Open Access
In this present paper, we proposed and formulated a quantitative approach
to parametric identifiability of dual HIV-parasitoid-pathogen infectivity in a
novel 5-dimensional algebraic identifiability HIV dynamic model, as against
popular 3-dimensional HIV/AIDS models. In this study, ordinary differential
equations were explored with analysis conducted via two improved developed
techniques—the method of higher-order derivatives (MHO ...
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