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The stability of transient relationships
Parameter inference for enzyme and temperature constrained genome-scale models
Bi-objective bus scheduling optimization with passenger perception in mind
Exploiting social graph networks for emotion prediction
Tug of War games and PDEs on graphs with applications in image and high dimensional data processing
A small fishing vessel recognition method using transfer learning based on laser sensors
Rapid multi-criterial design of microwave components with robustness analysis by means of knowledge-based surrogates
Multidimensional query processing algorithm by dimension transformation
Temporal-topological properties of higher-order evolving networks
Equivalence partition based morphological similarity clustering for large-scale time series
Circulation of a digital community currency
A federated learning differential privacy algorithm for non-Gaussian heterogeneous data
Buried object characterization by data-driven surrogates and regression-enabled hyperbolic signature extraction
On quantification and maximization of information transfer in network dynamical systems
NASHmap: clinical utility of a machine learning model to identify patients at risk of NASH in real-world settings
Application of a CNN to the Boda Claystone Formation for high-level radioactive waste disposal
A new improved generalized class of estimators for population distribution function using auxiliary variable under simple random sampling
Machine learning unifies flexibility and efficiency of spinodal structure generation for stochastic biomaterial design
A smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm
Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effect
Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems
Stability selection for LASSO with weights based on AUC
Fixed-point iterative linear inverse solver with extended precision
American zebra optimization algorithm for global optimization problems
Tapered whisker reservoir computing for real-time terrain identification-based navigation
Weakly supervised label propagation algorithm classifies lung cancer imaging subtypes
DTUMOS, digital twin for large-scale urban mobility operating system
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Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options
Numerically analysis of Marangoni convective flow of hybrid nanofluid over an infinite disk with thermophoresis particle deposition
Dynamics of chaotic system based on circuit design with Ulam stability through fractal-fractional derivative with power law kernel
A novel method for in-situ extracting bio-impedance model parameters optimized for embedded hardware
Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-AI
Bounded Wang tilings with integer programming and graph-based heuristics
A comparative analysis of human and AI performance in forensic estimation of physical attributes
Structural finite element model updating considering soil-structure interaction using ls-dyna in loop
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Quantifying progress in research topics across nations
Molecular simulations of SSTR2 dynamics and interaction with ligands
Predicting choice behaviour in economic games using gaze data encoded as scanpath images
Quantifying implicit biases in refereeing using NBA referees as a testbed
Study on mechanical characteristics of anchor drilling rig group for rapid excavating
A neural network-based PDE solving algorithm with high precision
Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme
Information set supported deep learning architectures for improving noisy image classification
Exploring the entropic nature of political polarization through its formulation as a isolated thermodynamic system
Research on SPDTRS-PNN based intelligent assistant diagnosis for breast cancer
On the forecastability of food insecurity
Real-time botnet detection on large network bandwidths using machine learning
Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainability