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Quantum architecture search via truly proximal policy optimization
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
Supply chain logistics with quantum and classical annealing algorithms
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
Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels
The value evaluation model design and business innovation for P-RAN based on multi-party interaction
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Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations
Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
Noble metal catalyst detection in rocks using machine-learning: The future to low-cost, green energy materials?
The efficiency of quantum teleportation with three-qubit entangled state in a noisy environment
Pattern-based hybrid book recommendation system using semantic relationships
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