Dr. Ziad Salem

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Citations	137	54
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Thomas SchmicklInstitute of Biology, Artificial Life Lab, University of GrazVerified email at thomasschmickl.science
D T PHAMUniversity of BirminghamVerified email at bham.ac.uk
Luís CorreiaLASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de LisboaVerified email at ciencias.ulisboa.pt
Pedro MarianoISCTE, Instituto Universitário de LisboaVerified email at iscte-iul.pt
Rob MillsEPFLVerified email at epfl.ch
Franz Peter WenzlJOANNEUM RESEARCH Forschungsges.mbHVerified email at joanneum.at
Stefan DimovProfessor of Micro Manufacturing, Birmingham UniversityVerified email at bham.ac.uk
Payam ZahadatAssociate Professor, IT University of CopenhagenVerified email at itu.dk
Karlo GriparicJuraj Dobrila University of PulaVerified email at unipu.hr
Stjepan BogdanUniversity of Zagreb Faculty of Electrical Engineering and ComputingVerified email at fer.unizg.hr
Michael BodiArtificial Life Laboratory of the Department of Zoology, Karl-Franzens University GrazVerified email at uni-graz.at
Christian SommerJoanneum Research, Head of Research Group - Light and optical TechnologiesVerified email at joanneum.at
Francesco MondadaEcole Polytechnique Fédérale de LausanneVerified email at epfl.ch
frank bonnetBionomousVerified email at epfl.ch
Tomislav HausResearch and Teaching Assistant, LARICS - Faculty of EE&C - University of ZagrebVerified email at fer.hr
Dr Samuel BigotLecturer in Mechanical, Manufacturing and Medical Engineering at Cardiff UniversityVerified email at cf.ac.uk
Serge KernbachCYBRES GmbH, Research Center of Advanced Robotics and Environmental ScienceVerified email at cybertronica.de.com
Martina SzopekUniversity of GrazVerified email at uni-graz.at
Ronald TheniusUniversity of GrazVerified email at uni-graz.at
Martin StefanecArtificial Life Laboratory, Complexity of Life in Basic Research and Innovation, University of GrazVerified email at uni-graz.at

Dr. Ziad Salem

Joanneum Research

Verified email at joanneum.at

Machine learning Data Mining Visible Light Communication Positioning and Sensing IoT


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Technique for selecting examples in inductive learning DT Pham, SS Dimov, Z Salem European symposium on intelligent techniques (ESIT 2000), 119-127, 2000	36	2000
A novel design of an industrial data acquisition system Z Salem, I Al Kamal, A Al Bashar 2006 2nd International Conference on Information & Communication …, 2006	16	2006
Automatically finding answers to" Why" and" How to" questions for Arabic language Z Salem, J Sadek, F Chakkour, N Haskkour Knowledge-Based and Intelligent Information and Engineering Systems: 14th …, 2010	12	2010
Evolving robot controllers for a bio-hybrid system P Mariano, Z Salem, R Mills, S Schönwetter-Fuchs-Schistek, L Correia, ... Artificial Life Conference Proceedings, 155-162, 2018	8	2018
The efficiency of the RULES-4 classification learning algorithm in predicting the density of agents Z Salem, T Schmickl Cogent Engineering 1 (1), 986262, 2014	7	2014
Social adaptation of robots for modulating self-organization in animal societies P Zahadat, M Bodi, Z Salem, F Bonnet, ME De Oliveira, F Mondada, ... 2014 IEEE Eighth International Conference on Self-Adaptive and Self …, 2014	7	2014
An application of datamining and machine learning techniques in the metal industry DT Pham, MS Packianather, SS Dimov, AJ Soroka, T Gerard, S Bigot, ...	7	2004
Design choices for adapting bio-hybrid systems with evolutionary computation P Mariano, Z Salem, R Mills, P Zahadat, L Correia, T Schmickl Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017	6	2017
A spatiotemporal framework for human indoor activity monitoring Z Salem, AP Weiss, FP Wenzl SPIE Future Sensing Technologies 11525, 317-332, 2020	5	2020
Estimation of moving agents density in 2D space based on LSTM neural network M Polic, Z Salem, K Griparic, S Bogdan, T Schmickl 2017 Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2017	5	2017
Enhanced computer algorithms for machine learning Z Salem Systems Engineering division, Cardiff School of Engierring, Cardiff …, 2002	5	2002
Improved Spatiotemporal Framework for Human Activity Recognition in Smart Environment Z Salem, AP Weiss Sensors 23 (1), 132, 2022	3	2022
Sit-to-stand and stand-to-sit activities recognition by visible light sensing Z Salem, AP Weiss, FP Wenzl 2021 Joint Conference-11th International Conference on Energy Efficiency in …, 2022	3	2022
Animal-guided evolutionary computation in honeybees and robots P Mariano, Z Salem, R Mills, P Zahadat, L Correia, T Schmickl	3	2017
Improved inductive learning using training data reorganisation DT Pham, Z Salem Proceedings. 2004 International Conference on Information and Communication …, 2004	3	2004
Visible light technologies for the industrial internet of things Z Salem, C Krutzler, C Fragner, AP Weiss 2023 17th International Conference on Telecommunications (ConTEL), 1-8, 2023	2	2023
Visible light sensing for recognising human postural transitions Z Salem, AP Weiss 2022 International Conference on Broadband Communications for Next …, 2022	2	2022
A low-complexity approach for visible light positioning and space-resolved human activity recognition Z Salem, AP Weiss, FP Wenzl Multimodal Sensing and Artificial Intelligence: Technologies and …, 2021	2	2021
Human activity recognition based on fusing inertial sensors with an optical receiver Z Salem, F Lichtenegger, AP Weiss, C Leiner, C Sommer, FP Wenzl Optical Sensing and Detection VII 12139, 40-58, 2022	1	2022
Simulation of fingerprinting based Visible Light Positioning without the need of prior map generation F Lichtenegger, C Leiner, C Sommer, AP Weiss, FP Wenzl, Z Salem Illumination Optics VI 11874, 119-133, 2021	1	2021

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