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Corneliu T. C. Arsene
Person information
- affiliation: University of Southampton, School of Engineering Sciences, UK
- affiliation: University of Lincoln, University of Lincoln, UK
- affiliation: Nottingham Trent University, School of Science and Technology, UK
- affiliation: University of Manchester, School of Arts, Languages and Cultures, UK
- affiliation: National University Research Council, Automation Research Institute, Bucharest, Romania
- affiliation: Solutions of Artificial Intelligence Applications, Cluj-Napoca, Romania
- affiliation: Liverpool John Moores University, School of Computing and MathematicalSciences, UK
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2020 – today
- 2024
- [c15]Zhengfa Zhang, Yiqiao Xu, Corneliu T. C. Arsene, Yixing Liu, Alessandra Parisio:
Optimal Operation of Pumped Thermal Energy Storage for Simultaneous Peak Shaving and Voltage Control in Multi-Energy System. ECC 2024: 1105-1110 - 2023
- [c14]Corneliu T. C. Arsene, Alessandra Parisio:
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems. IJCNN 2023: 1-8 - [i9]Corneliu T. C. Arsene:
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems. CoRR abs/2312.15497 (2023) - 2022
- [i8]Corneliu T. C. Arsene:
Data science to investigate temperature profiles of large networks of food refrigeration systems. CoRR abs/2201.02046 (2022) - 2020
- [c13]Corneliu T. C. Arsene:
Design of Deep Convolutional Neural Network Architectures for Denoising Electrocardiographic Signals. CIBCB 2020: 1-8 - [i7]Corneliu T. C. Arsene:
Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots. CoRR abs/2006.01286 (2020)
2010 – 2019
- 2019
- [c12]Corneliu T. C. Arsene, Richard Hankins, Hujun Yin:
Deep Learning Models for Denoising ECG Signals. EUSIPCO 2019: 1-5 - [i6]Corneliu T. C. Arsene:
Complex Deep Learning Models for Denoising of Human Heart ECG signals. CoRR abs/1908.10417 (2019) - 2018
- [c11]Corneliu T. C. Arsene:
High-performance and distributed computing in a probabilistic finite element comparison study of the human lower leg model with total knee replacement. CIBCB 2018: 1-9 - 2017
- [c10]Andrey Postnikov
, Argyrios C. Zolotas
Modelling of Thermostatically Controlled Loads to Analyse the Potential of Delivering FFR DSR with a Large Network of Compressor Packs. EMS 2017: 163-167 - [i5]Corneliu T. C. Arsene:
Uncertainty Quantification of Water Distribution System Measurement Data based on a Least Squares Loop Flows State Estimator. CoRR abs/1701.03147 (2017) - [i4]Corneliu T. C. Arsene:
Operational Decision Support in the Presence of Uncertainties. CoRR abs/1701.04681 (2017) - [i3]Corneliu T. C. Arsene, Peter E. Pormann, William Sellers, Siam Bhayro:
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest. CoRR abs/1702.02508 (2017) - 2016
- [c9]Corneliu T. C. Arsene:
Partial Logistic Artificial Neural Network with automatic relevance determination and Markov Chain Monte Carlo methods applied in medical survival studies. CIBCB 2016: 1-7 - [i2]Corneliu T. C. Arsene:
High-Performance and Distributed Computing in a Probabilistic Finite Element Comparison Study of the Human Lower Leg Model with Total Knee Replacement. CoRR abs/1611.07297 (2016) - [i1]Corneliu T. C. Arsene, Peter E. Pormann, Naima Afif, Stephen Church
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts. CoRR abs/1612.06457 (2016) - 2013
- [c8]Corneliu T. C. Arsene, Denisa Ardevan, Paul Bulzu:
Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods. CIBB 2013: 161-177 - 2012
- [j2]Corneliu T. C. Arsene, Bogdan Gabrys, David Al-Dabass:
Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection. Expert Syst. Appl. 39(18): 13214-13224 (2012) - [c7]Corneliu T. C. Arsene, Paulo J. G. Lisboa:
Multicentre study design in survival analysis. CIBCB 2012: 135-143 - [c6]Corneliu T. C. Arsene, Paulo J. G. Lisboa:
Bayesian Neural Network with and without compensation for competing risks. IJCNN 2012: 1-8 - [c5]Corneliu T. C. Arsene, Paulo J. G. Lisboa:
Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis. UKSim 2012: 81-85 - [c4]Corneliu T. C. Arsene, David Al-Dabass, Joanna Hartley:
Decision Support System for Water Distribution Systems Based on Neural Networks and Graphs. UKSim 2012: 315-323 - 2011
- [c3]Corneliu T. C. Arsene, David Al-Dabass, Joanna Hartley:
Confidence Limit Analysis of Water Distribution Systems Based on a Least Squares Loop Flows State Estimation Technique. EMS 2011: 94-101 - [c2]Corneliu T. C. Arsene, Paulo J. G. Lisboa:
PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. IJCNN 2011: 1553-1561 - [c1]Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli
Model Selection with PLANN-CR-ARD. IWANN (2) 2011: 210-219
2000 – 2009
- 2009
- [j1]Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Corneliu T. C. Arsene, Min S. Hane Aung, Antonio Eleuteri, Azzam Fouad George Taktak, Federico Ambrogi
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 20(9): 1403-1416 (2009)
Coauthor Index
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