Diyar Altinses
Orcid: 0009-0005-7928-5874
According to our database1,
Diyar Altinses authored at least 15 papers
between 2023 and 2026.
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Bibliography
2026
Efficient Heat Generation Systems Through Transformer and Recurrent Neural Forecasting Combined With Mixed-Integer Predictive Control.
IEEE Trans. Control. Syst. Technol., May, 2026
Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning.
CoRR, March, 2026
Prior-Informed Neural Network Initialization: A Spectral Approach for Function Parameterizing Architectures.
CoRR, March, 2026
Non-destructive evaluation of material hardness using micromagnetic sensors and complex neural networks.
Appl. Intell., January, 2026
Knowl. Based Syst., 2026
Prior-informed initialization of function-parameterizing networks: A spectral approach for Bag-of-Functions architectures.
Neurocomputing, 2026
Lipschitz-controlled attention fusion for stable multimodal autoencoders in industrial robotics and manufacturing.
Expert Syst. Appl., 2026
2025
Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies.
CoRR, December, 2025
Toward more effective bag-of-functions architectures: Exploring initialization and sparse parameter representation.
Knowl. Based Syst., 2025
Neural Data Fusion Enhanced PD Control for Precision Drone Landing in Synthetic Environments.
Proceedings of the IEEE International Conference on Mechatronics, 2025
Data Imputation Techniques Using the Bag of Functions: Addressing Variable Input Lengths and Missing Data in Time Series Decomposition.
Proceedings of the IEEE International Conference on Industrial Technology, 2025
Bridging the Gap Between Simulations and Reality: A CycleGAN-Based Approach for Drone Landing Systems.
Proceedings of the 11th International Conference on Control, 2025
Enhancing Fault Tolerance in Multimodal Learning: A VAE-Based Approach with Probabilistic Fusion.
Proceedings of the 11th International Conference on Control, 2025
2023
Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023