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ORCIDCorneliu 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
- 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, Chris Bingham, Ibrahim M. Saleh, Corneliu T. C. Arsene, Simon Pearson, Ronald Bickerton:
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, Mark R. Dickinson:
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, Patrizia Boracchi, Elia Biganzoli:
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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