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Siamese capsule gorilla troops network-based multimodal sentiment analysis for car reviews
Sentiment analysis of online car reviews is a significant process in natural language processing. Numerous car enthusiasts and influencers create...
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An adaptive Q-learning based particle swarm optimization for multi-UAV path planning
In recent times, the path planning of unmanned aerial vehicles (UAVs) in 3D complex flight environments has become a hot topic in the field of UAV...
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Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers: modified results
Marimuthu and Mahapatra (Soft Comput 25:9859–9871, 2021) claimed that several methods are proposed in the literature to solve such multi-criteria...
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Multiple unmanned ship coverage and exploration in complex sea areas
This study addresses the complexities of maritime area information collection, particularly in challenging sea environments, by introducing a...
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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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Pathological voice classification system based on CNN-BiLSTM network using speech enhancement and multi-stream approach
The paper develo** a resilient speech classification system for individuals with voice disorders poses a formidable challenge due to the...
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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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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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Performance of the pre-trained large language model GPT-4 on automated short answer grading
Automated Short Answer Grading (ASAG) has been an active area of machine-learning research for over a decade. It promises to let educators grade and...
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Autonomous vehicle lane-change maneuver accounting for emotion-induced driving behavior in other vehicles
Lane-change maneuvers are a critical aspect of autonomous vehicles operation, but executing them efficiently and safely in the presence of other...
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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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Formal design, verification and implementation of robotic controller software via RoboChart and RoboTool
Current practice in simulation and implementation of robot controllers is usually undertaken with guidance from high-level design diagrams and...
