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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 Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Meta-learning has proven to be a powerful paradigm for transferring knowledge from prior tasks to facilitate the quick learning of new tasks in...
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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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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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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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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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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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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...
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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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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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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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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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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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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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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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On the approximation capability of GNNs in node classification/regression tasks
Graph neural networks (GNNs) are a broad class of connectionist models for graph processing. Recent studies have shown that GNNs can approximate any...
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A new MCDM integrating fuzzy rough set and TOPSIS method
In this paper, by integrating the advantages of multi-granulation fuzzy rough set (MGFRS) and variable precision fuzzy rough set (VPFRS), we...
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Mirror Turing Test: soul test based on poetry
With the rapid development of machine intelligence, an increasing number of websites and servers have been amicably visited or sometimes attached by...
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New directions in motion-prediction-based systems
Motion prediction has gotten much attention in the past few years. It has endless uses either in real life or in virtual life (gaming). The current...
