Angelos Angelopoulos

发表

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Stamatis Voliotis, Panagiotis Trakadas, Theodore Zahariadis, 2019, Sensors.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Antonio F. Gómez-Skarmeta, Pieter Simoens, Josiane Xavier Parreira, 2020, Sensors.

Improvements in the CPLEAR trigger and data acquisition system

M. Dodgson, M. Dejardin, T. Geralis, 1994 .

Status and results from the CPLEAR collaboration at CERN

M. Dodgson, M. Dejardin, T. Geralis, 1991 .

Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector pdf

Nikos Chrisochoides, Veronique Ziegler, Gagik Gavalian, 2020, ArXiv.

Time-energy relation of the n_TOF neutron beam : energy standards revisited

Yacine Kadi, A. Ventura, I. Duran, 2004 .

Experimental verification of neutron phenomenology in lead and transmutation by adiabatic resonance crossing in accelerator driven systems

P. Kokkas, José M. Martínez-Val, Yacine Kadi, 1999 .

The effect of finite patient dimensions and tissue inhomogeneities on dosimetry planning of 192Ir HDR breast brachytherapy: a Monte Carlo dose verification study.

Dimos Baltas, Pantelis Karaiskos, Panagiotis Papagiannis, 2005, International journal of radiation oncology, biology, physics.

Experimental study of the phenomology of spallation neutrons in a large lead block

Angelos Angelopoulos, Samuel A Andriamonje, 1995 .

Results from the TARC experiment : spallation neutron phenomenology in lead and neutron-driven nuclear transmutation by adiabatic resonance crossing

P. Kokkas, José M. Martínez-Val, Yacine Kadi, 2002 .

Measurement of the n_TOF beam profile with a micromegas detector

Isabel S. Gonçalves, José M. Martínez-Val, Yacine Kadi, 2004 .