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SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN
Recently, new advancements in technologies have promoted the classification of brain tumors at the early stages to reduce mortality and disease...
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Multi-objective meta-heuristics to optimize end-of-life laptop remanufacturing decisions under quality grading of returned parts
Research on multi-objective discrete optimization of Waste Electrical and Electronic Equipment (WEEE) remanufacturing remains under-studied in the...
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Extending a Model Language to Handle Entangled Concepts in Artificial Intelligence
In quantum information and computation, entanglement is a resource. When combining concepts, the application of entanglement outside of...
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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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Extended ExpTODIM technique based on GRA for capability evaluation of real estate general contractors with hesitant triangular fuzzy information
The competition between real estate enterprises in the future is likely to be between supply chains, and strategic general contracting is an...
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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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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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A performance comparison of deep learning and shallow machine learning in acoustic emission monitoring of aluminium alloy pulsed laser welding
The penetration depth is one of the important indicators in aluminium alloy laser welding, which is closely related to the welding quality. In situ...
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A machine learning-enhanced endpoint detection and response framework for fast and proactive defense against advanced cyber attacks
The risk of intelligent cyber-attacks is increasing as the number of endpoint devices surges and non-face-to-face services expand. As the damage...
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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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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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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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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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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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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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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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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...
