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1

Analysis of a Company Model in Conditions of Unstable Demand Using Reinforcement Learning Methods
Delev, Aleksandr ; Semakov, Sergei
2025 8th International Conference on Artificial Intelligence and Big Data (ICAIBD) Artificial Intelligence and Big Data (ICAIBD), 2025 8th International Conference on. :318-322 May, 2025

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2

An Optimized Algorithm For Efficient Problem Solving In K-MEANS Clustering
Qureshi, Salim Raza ; Mehta, Sunali ; Gupta, Chaahat
2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) ICNGCIS Next Generation Computing and Information Systems (ICNGCIS), 2017 International Conference on. :86-91 Dec, 2017

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3

Using Physics-Informed Neural Networks for Modeling Biological and Epidemiological Dynamical Systems.
Farea, Amer ; Yli-Harja, Olli ; Emmert-Streib, Frank
Mathematics (2227-7390); May2025, Vol. 13 Issue 10, p1664, 23p

ORDINARY differential eq... PHYSICAL laws DYNAMICAL systems INVERSE problems BIOLOGICAL neural networ... DEEP learning
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4

Epistolution: a new principle necessary to a learning-first theory of life.
Munford, Charlie
Communicative & Integrative Biology; Dec2024, Vol. 17 Issue 1, p1-14, 14p

MACHINE learning NATURAL selection CONSCIOUSNESS PHENOTYPIC plasticity PROBLEM solving
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5

Solving Machine Learning Problems with Biological Principles
Leng, Luziwei

ddc-500 500 Natural sciences and...
Dissertation
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6

Pavlov principle and brain reverse engineering
Dunin-Barkowski, Witali ; Solovyeva, Ksenia
2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2018 IEEE Conference on. :1-5 May, 2018

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7

Applications of Genetic Algorithm with Integrated Machine Learning
Raj, Arman ; Kumar, Avneesh ; Sharma, Vandana ; et al.
2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Innovative Practices in Technology and Management (ICIPTM), 2023 3rd International Conference on. :1-6 Feb, 2023

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8

Towards the Design of Bithreshold ANN Regressor
Kotsovsky, Vladyslav ; Batyuk, Anatoliy
2024 IEEE 19th International Conference on Computer Science and Information Technologies (CSIT) Computer Science and Information Technologies (CSIT), 2024 IEEE 19th International Conference on. :1-4 Oct, 2024

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9

Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning
Beuth, Frederik ; Schlosser, Tobias ; Friedrich, Michael ; et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society (IECON), 2020 The 46th Annual Conference of the IEEE. :5323-5330 Oct, 2020

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10

Utilizing Genetic Algorithms for Detecting Congenital Heart Defects
Patil, Sachin C. ; Kasula, Balaram Yadav ; Mohammed, Vazeer Ali ; et al.
2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS) E-mobility, Power Control and Smart Systems (ICEMPS), 2024 International Conference on. :1-6 Apr, 2024

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11

Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Dellaferrera, Giorgia ; Kreiman, Gabriel
Proceedings of the 39th International Conference on Machine Learning 2022

Computer Science - Neura...
Report
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12

Systematic review of computational techniques, dataset utilization, and feature extraction in electrocardiographic imaging.
Mayorca-Torres, Dagoberto ; León-Salas, Alejandro J. ; Peluffo-Ordoñez, Diego H.
Medical & Biological Engineering & Computing. May2025, Vol. 63 Issue 5, p1289-1317. 29p.

ALGORITHMS FEATURE extraction DEEP learning CARDIAC imaging HEART disease diagnosis DATA integration
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13

Tracking large chemical reaction networks and rare events by neural networks
Weng, Jiayu ; Zhu, Xinyi ; Liu, Jing ; et al.

Molecular Networks Machine Learning Biological Physics
Report
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14

Hybrid deep learning and physics-based neural network for programmable illumination computational microscopy
Sun, Ruiqing ; Yang, Delong ; Zhang, Shaohui ; et al.

Electrical Engineering a... Computer Science - Compu... Physics - Biological Phy... Physics - Optics
Report
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15

Toward transfer learning integrating multiple functions through the latent space.
Iwai, Haruka ; Kobayashi, Ichiro
Neural Computing & Applications; Nov2025, Vol. 37 Issue 33, p27883-27900, 18p

DEEP learning ARTIFICIAL neural networ... MATHEMATICAL optimizatio... TRANSFER of training
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16

Deep convolutional neural networks for predicting leukemia-related transcription factor binding sites from DNA sequence data
He, Jian ; Pu, Xuemei ; Li, Menglong ; et al.
In Chemometrics and Intelligent Laboratory Systems 15 April 2020 199

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17

Quantum machine learning for drowsiness detection with EEG signals
Lins, Isis Didier ; Araújo, Lavínia Maria Mendes ; Maior, Caio Bezerra Souto ; et al.
In Process Safety and Environmental Protection June 2024 186:1197-1213

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18

Monkeypox optimizer: A TinyML bio-inspired evolutionary optimization algorithm and its engineering applications
Mohamed, Marwa F. ; Hamed, Ahmed
In Intelligent Systems with Applications September 2025 27

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19

Deep learning for 3D imaging and image analysis in biomineralization research
Reznikov, Natalie ; Buss, Dan J. ; Provencher, Benjamin ; et al.
In Journal of Structural Biology 1 October 2020 212(1)

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20

Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data
SiniosoGlou, Ilias ; Xouveroudis, Konstantinos ; Argyriou, Vasileios ; et al.
2023 IEEE Globecom Workshops (GC Wkshps) Globecom Workshops (GC Wkshps), 2023 IEEE. :56-61 Dec, 2023

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