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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

Solving Machine Learning Problems with Biological Principles
Leng, Luziwei

ddc-500 500 Natural sciences and...
Dissertation
4

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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5

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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6

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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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

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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9

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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10

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

Fachzeitschrift
11

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

Fachzeitschrift
12

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

Fachzeitschrift
13

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)

Fachzeitschrift
14

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
Fachzeitschrift
16

Applications of computational chemistry, artificial intelligence, and machine learning in aquatic chemistry research
He, Lei ; Bai, Lu ; Dionysiou, Dionysios D. ; et al.
In Chemical Engineering Journal 15 December 2021 426

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17

Deep learning techniques have significantly impacted protein structure prediction and protein design
Pearce, Robin ; Zhang, Yang
In Current Opinion in Structural Biology June 2021 68:194-207

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18

Chapter 1 - Journey of computational intelligence in sustainable computing and optimization techniques: An introduction
Kuppuchamy, Sampath Kumar ; Srinivasan, S. ; Dhandapani, Ganesh ; et al.
In Computational Intelligence in Sustainable Computing and Optimization 2025:1-51

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19

Hybrid deep-learning and physics-based neural network for programmable illumination computational microscopy
Sun, Ruiqing ; Yang, Delong ; Zhang, Shaohui ; et al.
Advanced Photonics Nexus. September 1, 2024, Vol. 3 Issue 5, p056003, 10 p.

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20

Fundamentals of Soft Computing
Principles of Soft Computing Using Python Programming. Dec 05, 2023

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