Modular approaches and applications in reinforcement learning development and validation of next-generation frameworks

Συγγραφείς: Bou Hernández, Albert

Συνεισφορές: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: De Fabritiis, Gianni

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: Deep reinforcement learning, Decision-making algorithms, Python libraries, PyTorch, TorchRL, Drug design

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10803/694233

PCART: Automated Repair of Python API Parameter Compatibility Issues

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Enhancing Security and Ensuring the Rights of Muslim Women Using OpenCV Libraries of Python in Security Systems

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Visualization of DDoS Attack using Python Libraries

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Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms

Συγγραφείς: Bulut, Nurgül, Çakar, Tuna, Arslan, İlker, Akıncı, Zeynep Karaoğlu, Oner, Kevser Setenay

Πηγή: International Journal of Statistics in Medical Research. 14:532-542

Θεματικοί όροι: Matplotlib 3.6.0, Adult, Explainable Artificial Intelligence, Scikit-Learn 1.1.3, Major Clinical Study, Neuropsychiatric Inventory, Deep Neural Network, Python Programming Language Version 3.10, Learning Algorithm, Alzheimer's Disease, Sensitivity and Specificity, Article, Machine Learning, Python Libraries Numpy 1.23.0, Artificial Intelligence, Alzheimer Disease, Controlled Study, Neuropathology, Artificial Learning Algorithm, Aged, Principal Component Analysis, Tensorflow 2.10, Nuclear Magnetic Resonance Imaging, Random Forest, Receiver Operating Characteristic, National Alzheimer's Coordinating Center, Depression, Bayesian Learning, Geriatric Depression Scale, Machine Learning Algorithm, Mini Mental State Examination, Decision Support System, Shapley Addictive Explanations, Statsmodel 0.13.5, Logistic Regression Analysis, Montreal Cognitive Assessment, Physician, Pandas 1.5.0, Diagnostic Test Accuracy Study, Cognitive Defect, XGBoost, Human

Σύνδεσμος πρόσβασης: https://hdl.handle.net/20.500.11779/3094
https://doi.org/10.6000/1929-6029.2025.14.50

Automatic Stability Studies Alert System for Pharmaceutical Formulations

Συγγραφείς: Kulkarni, Madhur^Aff13, Shankar, Poorna^Aff14, Das, Soumitra^Aff14, Sul, Chetan^Aff14, Barhate, Shubhankar^Aff14

Συνεισφορές: Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Marriwala, Nikhil Kumar, editor^Aff9, Jain, Shruti, editor^Aff10, William, P., editor^Aff11, Kumar, Dinesh, editor^Aff12

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Analytical Review of the Possibilities of Modern Methods and Models of Artificial Intelligence in Relation to Intelligent Processing of Scientific and Technical Documents

Συγγραφείς: Kan, A. V.^{Aff1, IDS0005105525701134_cor1}, Khoroshilov, A. A.^Aff1, Rykalin, A. V.^Aff1, Chechulin, I. A.^Aff1

Πηγή: Automatic Documentation and Mathematical Linguistics. 59(6):391-399