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Cross-dimensional knowledge-guided synthesizer trained with unpaired multimodality MRIs
Magnetic resonance images (MRIs) of different modalities have different reference values for pathological diagnosis. The difficulty of obtaining...
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A critical take on the role of random and local search-oriented components of modern computational intelligence-based optimization algorithms
The concept of computational intelligence (CI)-based optimization algorithms emerged in the early 1960s as a more practical approach to the...
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Quantum extremal learning
We propose a quantum algorithm for “extremal learning,” which is the process of finding the input to a hidden function that extremizes the function...
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Uncertain queueing model with group arrivals
The main goal of mathematical modeling and analysis of queueing systems is to understand the dynamic behavior of the underlying processes, enabling...
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Computational intelligence and its dynamic development: statistical exploration, comprehensive evaluation and prospect expansion
Computational intelligence (CI) has become one of the most useful and successful tools for dealing with uncertainties and complex problems in many...
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A multi-population-based marine predators algorithm to train artificial neural network
Marine predators algorithm (MPA) is one of the recently proposed metaheuristic algorithms. In the MPA, position update mechanisms are implemented,...
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Modified Bat Algorithm: a newly proposed approach for solving complex and real-world problems
Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently explore complex problem spaces and find near-optimal...
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Optimal saturated information load analysis for enhancing robustness in unmanned swarms system
Saturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload...
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Fuzzy inventory-routing problem with priority customers
This research addresses the Inventory-Routing Problem (IRP) with priority customers under conditions of uncertainty. The problem involves devising a...
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Credit card fraud detection using hybridization of isolation forest with grey wolf optimizer algorithm
During recent decades, using credit cards represents a pivotal part of the financial lifeline. Credit cards and online payment gateways are vital...
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Evaluation of VQC-LSTM for disability forecasting in multiple sclerosis using sequential multisequence MRI
Variational Quantum Circuit (VQC)-Long Short-Term Memory (LSTM) models were studied to provide sequential relationships for each timepoint in MRIs of...
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Duplicate image detection using deep learning modified SVM and k-NN classification method for multimedia application
This paper discussed an efficient technique to detect near-duplicate images with higher accuracy. The proposed method improved the existing accuracy...
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A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy
The cuckoo search algorithm (CS), an algorithm inspired by the nest-parasitic breeding behavior of cuckoos, has proved its own effectiveness as a...
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Parameter estimation of fractional uncertain differential equations
Fractional uncertain differential equations are used for forecast in this paper. It is crucial to provide an accurate estimation method since...
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Granulated mask RCNN and eye detection index (EDI) for detection and localization of eye of tropical cyclone from satellite imagery
The eye usually located at the center of the tropical cyclone is connected to the rapid intensification of tropical cyclone and prediction of its...
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Optimization of fractional-order PI-PID controllers for MIMO systems using artificial bee colony algorithm
In this study, we examined the potential of various artificial bee colony (ABC) algorithm variants for optimizing the design of fractional-order...
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A generalized integrated framework for urban public transport operations evaluation based on interval neutrosophic TODIM and EDAS technique
With the acceleration of urbanization construction, the contradiction between supply and demand of urban public transportation resources is becoming...
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An extended power geometric technique for multiple-attribute decision-making under single-valued neutrosophic sets and applications to embedded computers’ performance evaluation
Embedded computer systems refer to specialized computer systems that integrate operating systems and functional software into computer hardware...
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High-utility itemsets mining integrating an improved crow search algorithm and particle search optimization
High-utility itemsets mining (HUIM) is an important research topic in data mining that consists of extracting efficient itemsets that generate high...
