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Alzheimer’s disease (AD), a leading cause of dementia, presents persistent challenges in accurate staging and diagnosis from neuroimaging data. This study investigates advanced deep learning approaches for classifying AD from brain MRI, focusing …
The picture fuzzy set, as a direct extension of the intuitionistic fuzzy set, characterizes information through the degree of positive membership, the degree of neutral membership and the degree of negative membership. Although several distances …
Foundation, algebraic, and analytical methods in soft computing
Liver Cancer (LC), specifically Hepato Cellular Carcinoma (HCC), poses a global health threat. Biomedical research is vital, but its inadequate access to superior treatments is a significant challenge. A comprehensive, collaborative healthcare …
This paper introduces an adaptive convolutional neural network (CNN) architecture capable of automating various topology optimization (TO) problems with diverse underlying physics. The proposed architecture has an encoder-decoder-type structure …
Inventory management in modern supply chains faces significant challenges such as carbon emissions, fuzzy shortages, order quantity-dependent lead time, price-dependent demand, and lost sales. To address these complexities and promote sustainable …
This paper proposes a model of N-soft fuzzy expert set inspired by the notions of N-soft set, soft expert set, and fuzzy set. As time goes by, the existing evaluation results may not keep pace with the times, so the expert team needs to conduct …
In this work, we propose a computational approach for solving a multi term time-fractional convection diffusion reaction (MTTF-CDR) equation with variable coefficients. The Caputo sense is used to characterise the temporal fractional derivatives.
Neutrosophic numbers are effective tools for modeling uncertainty due to their flexibility in describing the information thoroughly, appropriately and comprehensively for decision-making problems. In this study, we propose a new approach for …
In this article, the flow characteristics of a hybrid nanofluid containing AA7072 and AA7075 in water across a curved stretching surface are explored utilizing the non-Fourier model of heat flux. Hybrid nanofluids have diverse applications across …
Soft computing in decision making and in modeling in economics
The decision-making trial and evaluation laboratory (DEMATEL) method is a well-established approach in multi-criteria decision making (MCDM) that identifies the interrelationships between problem factors. However, traditional DEMATEL methods have …
According to different agglomeration patterns of producer services, the paper empirically tests the impact of producer services agglomeration on industrial structure upgrading by using the data of 59 prefecture level cities in China's four major …
Soft computing in decision making and in modeling in economics
The purpose of this study is to present an emergency decision making (EDM) technique based on a fuzzy rough set model. In order to build fuzzy rough approximations, researchers in literature use the concept of fuzzy similarity relations. As far as …
Relation extraction is an important task in natural language processing, which aims to identify the semantic relationships between entities. This task is essential for enhancing applications such as digital humanities, legal document analysis, and …
At present, wireless sensor networks are developing rapidly, but they will also face many challenges. For example, in the deployment problem, many problems such as cost, coverage, connectivity, energy, network life cycle and so on need to be …
This paper proposes a sensorless control strategy of permanent magnet synchronous motor (PMSM) based on two stage low pass filtering sliding mode observer (SMO). Due to the switching characteristics of sliding mode control, traditional SMO has …
While recognizing the significance of data in machine learning, we focus on addressing the challenge of concept drift, particularly in dynamic data streams. We propose an innovative incremental decision tree algorithm tailored for learning …
Evidence shows that the issue of transportation has been one of the most decisive factors in optimizing the supply chain in the new global economy. The transportation aspect is also identified as a critical factor in achieving customer …