Soft Computing - A Fusion of Foundations, Methodologies and Applications

This paper introduces the concept of implicative N-deductive systems of pre-semi-Nelson algebras and explores some of their properties. We examine the relationship between implicative N-deductive systems and N-deductive systems and identify some ...

Ectopic pregnancy is a complex condition that happens when the fertilized egg implants outside of the uterus. It is a significant cause of maternal morbidity and mortality. The diagnosis and treatment of ectopic pregnancy can be challenging, and ...

This paper introduces the concept of L-sub Q-algebras via the notion of L-subsets and Q -algebras. It presents the notions of commutative L-sub Q-algebra, associative L-sub Q-algebra, and faithful L- sub Q-algebra and also the relation between ...

One of the most important services provided by cloud service providers (CSPs), cloud storage is economically attractive and can provide on-demand data storage service to resource-constrained tenants in the manner of pay-per-use. Therefore, by ...

This article introduces the concepts of fuzzy filters, the generated fuzzy filters, fuzzy prime filters, fuzzy compatible filters, and the cosets of a fuzzy filter on Sheffer stroke basic algebras. It puts forward various characteristics and ...${}_{}$$\stackrel{}{\mathit{}}$${}_{}$$\stackrel{}{\mathit{}}$

For a commutative unital quantale L and a strong L-fuzzy topological space X, we define the open-hood $O_x$ for every point $x\in X$. Considering $\{O_x\mid x\in X\}$ as the family of basic granules, we define the upper and lower approximation operators $\varphi ,\psi$. It is ...$$${}^{}$$$

Forecasting stock prices is difficult because of the many unknowns and diverse factors that affect the financial market. Using time series data, the study attempts to assess how well the ARIMA (Auto Regressive Integrated Moving Average) model ...

The promotion and application of model-based systems engineering (MBSE) suffer from the lack of effective sharing of research and design (R&D) resources among enterprises in the networked collaborative design environment. This paper establishes a ...

The authors aimed to forecast the cumulative COVID-19 confirmed cases and deaths by the most appropriate model of the top five impacted countries and three South Asian countries incorporating the climate factors as covariates. Different ...

Epilepsy is a brain abnormality neurological disorder and is life-threatening, affecting the behavior and lifestyle of many people worldwide. Neurologists commonly use an electroencephalogram (EEG) to manually interpret the brain's electrical ...

The assembly line balancing problems get turn into a hierarchical nature, which refers that the assignment problem must be solved simultaneously with a sequencing problem, in the presence of setup times that depend on the task execution sequences. ...

Automation has become a major part of assembly lines because of the rapid technological advancement by industry 4.0. Two major assembly line branches are mixed-model assembly line sequencing and robotic assembly line balancing, which deal with the ...

Feature selection (FS) is one of the basic preprocessing steps in data mining and is a challenging binary optimization problem. FS is the process of determining the subset that can best represent the dataset by removing features that have little ...

In the face of complex project relationships and the need to achieve multiple strategic objectives, project portfolio selection is increasingly becoming a key issue for the survival and development of enterprises. However, the individual behavior ...

The evolutionary algorithms with shuffling concept divide a population into several groups and then each group try to evolve its members in an independent evolutionary process. In an attempt to increase and diversify search moves and preventing ...

In this paper, we present the development of a new version of the BrkgaCuda, called BrkgaCuda 2.0, to support the design and execution of Biased Random-Key Genetic Algorithms (BRKGA) on CUDA/GPU-enabled computing platforms, employing new ...

Aiming at the problem that the Harris hawk optimization (HHO) algorithm does not have high optimization accuracy and is prone to fall into local optimum, an improved Harris hawk optimization (SHHO) algorithm based on multi-strategy synergy ...

Researchers face a formidable task in devising effective control strategies for highly nonlinear systems. Addressing these challenges, we adopt the MIT rule in our study and employ the Model Reference Adaptive Controller (MRAC) approach to ...

This paper presents optimized solutions for the Integrated Joint Zone Picking-Order Batching and Vehicle Routing Problem with Time Window (ZPOBVRPTW). The ZPOBVRPTW combines three distinct optimization problems: the Order Batching Problem (OBP), ...

Rice fields all across the world are affected by spikelet sterility, often known as rice spikelet's disease. It is characterized by the improper development of spikelet’s, which lowers grain output and quality. For optimal management and the ...

In this work, we discuss how to schedule responsive loads and electric vehicles at the same time in a microgrid that utilizes wind and PV electricity to save running costs and pollutants. The proposed methodology utilizes EVs for reducing high ...

We implement deep learning for predicting bitcoin closing prices. Identifying two new determiners, we propose a novel LSTM Autoencoder using Mean Squared Error (MSE) loss which is regularized by False Nearest Neighbor (FNN) algorithm. The method ...

The Prairie Dog optimization algorithm (PDOA) is a novel metaheuristic algorithm that takes its inspiration from foraging behavior, burrow building activities and communication alarm of Prairie Dog. PDOA has gained extensive popularity among the ...

This paper aims to analyze the decision-making processes in which the interactions between objects belonging to two different universe sets are desired to be determined. In this direction, first of all, the concepts of object interaction and ...

Digital image security has become a major concern due to open networks and Internet data sharing. Many image encryption algorithms have been introduced recently for securely sharing data, but they have some drawbacks and efficiency issues. ...${}_{}$${}_{}$${}_{}$${\mathrm{}}^{\mathrm{}}$

Defect Density (DD) is a cornerstone metric in software quality assessment, influencing decisions across quality planning, testing strategies, and resource allocation. However, inherent uncertainties within software module data significantly ...

One of the latest modern communication devices is a mobile device seriously affected by multiple malware. Malware is a virus software installed automatically by hackers on various computing devices. Malware corrupts the system software, kills *...

Disease detection in agricultural crops plays a pivotal role in ensuring food security and sustainable farming practices. Deep learning models, known for their ability in image analysis, often demand extensive image datasets and annotations to ...

The rate of penetration (ROP) holds significant importance in optimizing a drilling process. ROP assists in alleviating concerns in critical scenarios where limited visibility over explorations reduces efficiency, increases non-productive time, ...

Conventional power conversion systems often face challenges with harmonic distortion and electromagnetic interference (EMI), particularly when handling high power. Multi-level inverters offer a compelling solution, boasting improved harmonic ...