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Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection
Unsupervised feature selection (UFS), which involves selecting representative features from unlabeled high-dimensional data, has attracted much...
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A New Matrix Feature Selection Strategy in Machine Learning Models for Certain Krylov Solver Prediction
Numerical simulation processes in scientific and engineering applications require efficient solutions of large sparse linear systems, and variants of...
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Clustering with Minimum Spanning Trees: How Good Can It Be?
Minimum spanning trees (MSTs) provide a convenient representation of datasets in numerous pattern recognition activities. Moreover, they are...
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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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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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Stability in Inverse Problem of Determining Two Parameters for the Moore-Gibson-Thompson Equation with Memory Terms
In this paper, the authors consider the inverse problem for the Moore-Gibson-Thompson equation with a memory term and variable diffusivity, which...
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Mutual correlation and butterfly effect of charged Reissner-Nordström AdS black hole with quintessence
In this article, based on shock geometry and chaos theory, we mainly study the butterfly effect of the Reissner-Nordström AdS black hole (RN-AdS...
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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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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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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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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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Dynamic behavior of memristor ML neurons and its application in secure communication
Improving neurons in a real physiological environment and studying their electrical behavior is crucial for understanding human cognitive brain...
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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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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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Randomized recursive techniques for image reconstruction in diffuse optical tomography
The inverse problem of reconstructing images in diffuse optical tomography poses significant challenges as it is characterized by high nonlinearity,...
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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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Accumulated laser-photoneutron generation
We present repeated generation of photoneutrons by double-pulse irradiation of ultrathin foils. A ~ mJ prepulse turns a foil into a 100-μm scale...
