Heat Treatment Process Energy Efficient Design and Optimisation von Mendikoa, I., Sorli, M., Armijo, A., García, L., Erausquin, L., Insunza, M., Bilbao, J., Friden, H., Björk, A., Bergfors, L., Skema, R., Alzbutas, R., Iesmantas, T.

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Hazard analysis and consequences assessment of gas pipeline rupture and natural gas explosion von USPURAS, E, RIMKEVICIUS, S, POVILAITIS, M, IESMANTAS, T, ALZBUTAS, R

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Convolutional Neural Networks for Early Seizure Alert System von Iešmantas, T., Alzbutas, R.

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Convolutional Capsule Network for Classification of Breast Cancer Histology Images von Iesmantas, Tomas, Alzbutas, Robertas

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Failure rate modeling using fault tree analysis and Bayesian network: DEMO pulsed operation turbine study case von Dongiovanni, Danilo Nicola, Iesmantas, Tomas

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Convolutional neural network for detection and classification of seizures in clinical data von Iešmantas, Tomas, Alzbutas, Robertas

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Bayesian spatial reliability model for power transmission network lines von Iešmantas, Tomas, Alzbutas, Robertas

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Bayesian Reliability of Gas Network Under Varying Incident Registration Criteria von Iesmantas, Tomas, Alzbutas, Robertas

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Enhancing Multi-tissue and Multi-scale Cell Nuclei Segmentation with Deep Metric Learning von Iesmantas, Tomas, Paulauskaite-Taraseviciene, Agne, Sutiene, Kristina

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Bayesian Reliability of Gas Network Under Varying Incident Registration Criteria: A Methodology for Reliability Assessment of Gas Networks von Iesmantas, Tomas, Alzbutas, Robertas

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Stochastic Simulation of Flow Rate and Power Consumption Considering the Uncertainty of Pipeline Cracking Rate and Time-Dependent Topology of a Natural Gas Transmission Network von Alzbutas, Robertas, Iešmantas, Tomas

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Probabilistic Prognosis of Different Treatment for the Diabetic Kidney Disease Course in Overweight and Obese T2DM Patients with Microalbuminuria von VELICKIENE, DZILDA, MALECKAS, ALMANTAS, IESMANTAS, TOMAS, ALZBUTAS, ROBERTAS

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Cerebrospinal fluid volume as an early radiological factor for clinical course prediction after aneurysmal subarachnoid hemorrhage. A pilot study von Ratkunas, Vytenis, Misiulis, Edgaras, Lapinskiene, Indre, Skarbalius, Gediminas, Navakas, Robertas, Dziugys, Algis, Barkauskiene, Alina, Preiksaitis, Aidanas, Serpytis, Mindaugas, Rocka, Saulius, Lukosevicius, Saulius, Iesmantas, Tomas, Alzbutas, Robertas, Sengupta, Jewel, Petkus, Vytautas

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Exploiting information of fusion component tests for failure rate estimation: Divertor Inner Vertical Target component study case von Dongiovanni, Danilo Nicola, Iesmantas, Tomas, Gavila, Pierre, Pinna, Tonio

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Bayesian assessment of electrical power transmission grid outage risk von Iešmantas, Tomas, Alzbutas, Robertas

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Application of Bayesian Methods for Age-Dependent Reliability Analysis von Alzbutas, Robertas, Iešmantas, Tomas

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Aggregated Risk Assessment and Survey for Risk Reduction in Oil Terminals von Alzbutas, Robertas, Vaisnoras, Mindaugas, Saruniene, Inga, Krikstolaitis, Ricardas, Valincius, Mindaugas, Babilas, Egidijus, Augutis, Juozas, Rimkevicius, Sigitas, Iesmantas, Tomas, Anusauskas, Feliksas, Mataitis, Lauras

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Risk and uncertainty analysis of gas pipeline failure and gas combustion consequence von Alzbutas, Robertas, Iešmantas, Tomas, Povilaitis, Mantas, Vitkutė, Jūratė

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Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection von Sengupta, Jewel, Alzbutas, Robertas, Iešmantas, Tomas, Petkus, Vytautas, Barkauskienė, Alina, Ratkūnas, Vytenis, Lukoševičius, Saulius, Preikšaitis, Aidanas, Lapinskienė, Indre, Šerpytis, Mindaugas, Misiulis, Edgaras, Skarbalius, Gediminas, Navakas, Robertas, Džiugys, Algis

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Convolutional neural network for detection and classification of seizures in clinical data von Iesmantas, Tomas, Alzbutas, Robertas

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