2022 |
Ozsoyeller, Ö. Özkasap, and M. Aloqaily, “m-rendezvous: Multi-agent asynchronous rendezvous search technique,” Future Generation Computer Systems, vol. 126, pp. 185–195, 2022. |
2022 |
Bi, Huibo & Gelenbe, Erol. (2021). Searching and Rescuing Victims in Emergency: A Comprehensive Survey. 10.3233/FAIA210420. |
2022 |
Konar, Debanjan & Gelenbe, Erol & Bhandary, Soham & Sarma, Aditya & Cangi, Attila. (2022). Random Quantum Neural Networks (RQNN) for Noisy Image Recognition. 10.48550/arXiv.2203.01764. |
2022 |
Gelenbe, Erol & Sigman, Karl. (2022). IoT Traffic Shaping and the Massive Access Problem *. 10.5281/zenodo.5913116. |
2021 |
Aslan, S. N., Özalp, R., Uçar, A., & Güzeliş, C. (2021). New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration. Cluster Computing, 1-16. |
2021 |
Aslan, S. N., Uçar, A., & Güzeliş, C. (2021). New convolutional neural network models for efficient object recognition with humanoid robots. Journal of Information and Telecommunication, 1-20. |
2021 |
Karabulut Korhan, Öztop Hande, Kandiller Levent, Taşgetiren Mehmet Fatih, Modeling and optimization of multiple traveling salesmen problems: An evolution strategy approach, Computers & Operations Research 2021. |
2021 |
Unluturk, M.S., Kucukyasar, S. & Pazir, F. Classification of organic and conventional olives using convolutional neural networks. Neural Comput & Applic 33, 16733–16744 (2021). https://doi.org/10.1007/s00521-021-06269-z |
2021 |
Sarvan Çagla, Özkurt Nalan (2021). Multi-objective advisory system for arrhytmia classification. Biomedical Signal Processing and Control, 69, Doi: 10.1016/j.bspc.2021.102838 |
2021 |
Deriszadeh Adel, Karabaşoğlu Orkun, Calasan Martin P., Mehdipour Farnaz, A dynamic functional model of diode bridge rectifier for unbalanced input voltage conditions, IET Power Electronics, 14(), 584-589. (SCI-Expanded) 2021 |
2021 |
Tos U., Mokadem R., Hameurlain A., and Ayav T., Achieving query performance in the cloud via a cost-effective data replication strategy, Soft Computing, vol. 25, no. 7, pp. 5437-5454, 2021 |
2021 |
Calzarossa, Maria Carla & Gelenbe, Erol & Grochla, Krzysztof & Lent, Ricardo & Czachórski, Tadeusz. (2021). Modelling, Analysis, and Simulation of Computer and Telecommunication Systems 28th International Symposium, MASCOTS 2020, Nice, France, November 17–19, 2020, Revised Selected Papers: 28th International Symposium, MASCOTS 2020, Nice, France, November 17–19, 2020, Revised Selected Papers. 10.1007/978-3-030-68110-4. |
2021 |
Gelenbe, E., & Siavvas, M. (2021). Minimizing energy and computation in long-running software. Applied Sciences, 11(3), 1169. doi:http://dx.doi.org/10.3390/app11031169 |
2021 |
Filus, K., Boryszko, P., Domanska, J., Siavvas, M.G., & Gelenbe, E. (2021). Efficient Feature Selection for Static Analysis Vulnerability Prediction. Sensors (Basel, Switzerland), 21. |
2021 |
Czachórski, Tadeusz & Gelenbe, Erol & Kuaban, Godlove & Marek, Dariusz. (2021). Time-Dependent Performance of a Multi-Hop Software Defined Network. Applied Sciences. 11. 10.3390/app11062469. |
2021 |
Makarovskikh, T., Abotaleb, M., Comparison Between Two Systems for Forecasting Covid-19 Infected Cases. In: Byrski A., Czachorski ´ T., Gelenbe E., Grochla K., Murayama Y. (eds). Computer Science Protecting Human Society AgainstEpidemics. ANTICOVID 2021. IFIP Advances in Information and Communication Technology, vol 616. Springer, Cham., 2021. https://doi.org/10.1007/978-3-030-86582-5_10. |
2021 |
Filus, Katarzyna & Siavvas, Miltiadis & Domańska, Joanna & Gelenbe, Erol. (2020). The Random Neural Network as a Bonding Model for Software Vulnerability Prediction. |
2021 |
Czachórski, Tadeusz & Gelenbe, Erol & Marek, Dariusz. (2021). Software Defined Network Dynamics via Diffusions. 10.1007/978-3-030-68110-4_2. |
2021 |
Kehagias D, Jankovic M, Siavvas M, Gelenbe E. Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks. SN Comput Sci. 2021;2(1):23. doi: 10.1007/s42979-020-00404-8. Epub 2021 Jan 8. PMID: 33437964; PMCID: PMC7790931. |
2021 |
N. Li, X. Hu, E. Ngai and E. Gelenbe, “Cooperative Wireless Edges with Composite Resource Allocation in Hierarchical Networks,” 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM), 2021, pp. 1-6, doi: 10.1109/HEALTHCOM49281.2021.9398997. |
2021 |
Fröhlich, Piotr & Gelenbe, Erol & Nowak, Mateusz. (2020). Smart SDN Management of Fog Services. 10.13140/RG.2.2.25867.44325. |
2021 |
Erol Gelenbe, Guy Brasseur, Luc Chefneux, Véronique Dehant, Véronique Halloin, Jean-Paul Haton, Michel Judkiewicz, Bernard Rentier, and Romain Weikmans. 2021. On sharing knowledge and fostering “open science”. Ubiquity 2021, May, Article 1 (May 2021), 13 pages. DOI:https://doi.org/10.1145/3462221 |
2021 |
Siavvas, Miltiadis & Kehagias, Dionysios & Tzovaras, Dimitrios & Gelenbe, Erol. (2021). A hierarchical model for quantifying software security based on static analysis alerts and software metrics. Software Quality Journal. 29. 10.1007/s11219-021-09555-0. |
2021 |
Natsiavas, Pantelis & Mazzeo, Giovanni & Faiella, Giuliana & Campegiani, Paolo & Dumortier, Jos & Stan, Oana & Nalin, Marco & Martinez, David & Theodouli, Anastasia & Moschou, Kostas & Votis, Kostas & Coppolino, L. & Romano, Maria & Tzovaras, Dimitrios & Clemente, Fabrizio & Gelenbe, Erol. (2021). Developing an infrastructure for secure patient summary exchange in the EU context: Lessons learned from the KONFIDO project. Health Informatics Journal. 27. 146045822110214. 10.1177/14604582211021459. |
2021 |
M. Nakip and E. Gelenbe, “Randomization of Data Generation Times Improves Performance of Predictive IoT Networks,” 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021, pp. 350-355, doi: 10.1109/WF-IoT51360.2021.9595819. |
2021 |
Piotr Fröhlich, Erol Gelenbe, and Mateusz Nowak. 2021. Reinforcement Learning and Energy-Aware Routing. In Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility (FlexNets ’21). Association for Computing Machinery, New York, NY, USA, 26–31. DOI:https://doi.org/10.1145/3472735.3473390 |
2021 |
M. Nakip and E. Gelenbe, “MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network,” 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 01-06, doi: 10.1109/GLOBECOM46510.2021.9685306. |
2021 |
E. Gelenbe, M. Nakıp, D. Marek and T. Czachorski, “Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem,” 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2021, pp. 1-8, doi: 10.1109/MASCOTS53633.2021.9614289 |
2020 |
Demirkıran, G., Erdener, Ö., Akpınar, Ö., Demirtaş, P., Arık, M. Y., & Güler, E. (2020, October). Control of an Inverted Pendulum by Reinforcement Learning Method in PLC Environment. In 2020 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE. |
2020 |
Peynirci Gökçer, Eminağaoğlu Mete, Karabulut Korhan, Feature Selection for Malware Detection on the Android Platform based on Differences of IDF Values, Journal Of Computer Scıence And Technology 2020. |
2020 |
Karabulut Korhan, Taşgetiren Mehmet Fatih, An evolution strategy approach to the team orienteering problem with time windows, Computers Industrial Engineering, 2020 . |
2020 |
Özcanhan, M.H., Utku, S. & Unluturk, M.S. Neural network-supported patient-adaptive fall prevention system. Neural Comput & Applic 32, 9369–9382 (2020). https://doi.org/10.1007/s00521-019-04451-y |
2020 |
Umut Avci, “Speech Emotion Recognition Using Spectrogram Patterns as Features”, 22th International Conference On Speech and Computer, 2020 |
2020 |
Rodoplu, V., Hocaoglu, , Adar, A., Cikmazel R.O., Saylam, A., Characterization of Line-of-Sight Link Availability in Indoor Visible Light Communication Networks Based on the Behavior of Human Users IEEE ACCESS, 8(), 2147483647-0. (SCI-Expanded) 2020 |
2020 |
Rodoplu, V., Nakıp, M., Eliiyi D., Güzeliş, C., A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT IEEE Internet of Things Journal, 7(9), 8572-8588, 2020. |
2020 |
V. Rodoplu, M. Nakip, R. Qorbanian and D. T. Eliiyi, “Multi-Channel Joint Forecasting-Scheduling for the Internet of Things,” in IEEE Access, vol. 8, pp. 217324-217354, 2020. |
2019 |
Ozsoyeller, A. Beveridge, and V. Isler, “Rendezvous in planar environments with obstacles and unknown initial distance,” Artificial Intelligence, vol. 273, pp. 19–36, 2019. |
2019 |
Kahraman, A., Bulut, Ö., Bıyık, E., Güzeliş, C., & Demirkıran, G. Stochastic Microgrid Control Problems: Effects of Load Distribution and Planning Horizon. In 2019 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE. |
2019 |
Buse TURKOGLU, Murat KOMESLI, Mehmet Suleyman Unluturk, Application of Data Mining in Failure Estimation of Cold Forging Machines: An Industrial Research, Studies in Informatics and Control, ISSN 1220-1766, vol. 28(1), pp. 87-94, 2019. https://doi.org/10.24846/v28i1y201909 |
2019 |
Dönmez Hayrıye, Özkurt Nalan (2019). Emotion Classification from EEG Signals in Convolutional Neural Networks. 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1, Doi: 10.1109/ASYU48272.2019.8946364 |
2019 |
Sen Sena Yagmur, Özkurt Nalan (2019). ECG Arrhythmia Classification By Using Convolutional Neural Network And Spectrogram. 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), Doi: 10.1109/ASYU48272.2019.8946417 |
2019 |
Sarvan Çagla, Özkurt Nalan (2019). ECG Beat Arrhythmia Classification by using 1-D CNN in case of Class Imbalance. 2019 Medical Technologies Congress (TIPTEKNO), Doi:10.1109/TIPTEKNO.2019.8895014 |
2019 |
Deriszadeh Adel, Karabaşoğlu Orkun, Öztürk Salih Barış, Excitation procedure for brushless wound rotor synchronous starter generator with seamless transitions, IET Power Electronics, 12(), 1-11. (SCI-Expanded) 2019 |
2019 |
Umut Avci, Gamze Akkurt and Devrim Unay, “A Pattern Mining Approach in Feature Extraction for Emotion Recognition from Speech”, 21th International Conference On Speech and Computer, 2019 |
2019 |
Umut Avci and Oya Aran, “Analyzing group performance in small group interaction: Linking personality traits and group performance through the verbal content,” 14th IEEE International Conference on Automatic Face & Gesture Recognition, Pages: 1–7, Lille, France, 2019. |
2018 |
Karabaşoğlu, , Optimal Operation of Interdependent Power Systems and Electrified Transportation Networks Energies, 11(), 0-0. (SCI-Expanded) 2018 |
2018 |
Diao Weiping, Xue Nan, Bhattacharjee Vikram, Jiang Jiuchun, Karabaşoğu Orkun, Pecht Michael, Active battery cell equalization based on residual available energy maximization Applied Energy, 210(), 690-698. (SCI-Expanded) 2018 |
2017 |
V Aksakalli, D Oz, AF Alkaya, V Aydogdu, “Optimal Naval Path Plannıng In Ice-Covered Waters” Internatıonal Journal Of Marıtıme Engıneerıng: 159 pp. 63-75, 2017 |
2017 |
Vuruskan, A., Bulgun, E., Ince, T., Guzelis, C., & Demirkiran, G. (2017). Fashion Styling Recommendation with Intelligent Systems: Test of an Online Platform. J Fashion Technol Textile Eng S4: 004. of, 3, 2. |
2017 |
Tos U., Mokadem R., Hameurlain A., Ayav T., and Bora S., Ensuring performance and provider profit through data replication in cloud systems, Cluster Computing, vol. 21, no. 3, pp. 1479-1492, 2017 |
2016 |
DD Harabor, A Grastien, D Öz, V Aksakalli, “Optimal any-angle pathfinding in practice”, Journal of Artificial Intelligence Research 56, 89-118, 2016 |
2016 |
Umut Avci and Oya Aran, “Predicting the performance in decision-making tasks: From individual cues to group interaction,” IEEE Transactions on Multimedia, 18(4), Pages: 643–658, 2016, doi: 10.1109/TMM.2016.2521348. |
2015 |
Tos U., Mokadem R., Hameurlain A., Ayav T., and Bora S., Dynamic replication strategies in data grid systems: a survey, The Journal of Supercomputing, vol. 71, no. 11, pp. 4116–4140, 2015 |
2014 |
Unluturk, S., Unluturk, M.S., Pazir, F. et al. Discrimination of bio-crystallogram images using neural networks. Neural Comput & Applic 24, 1221–1228 (2014). https://doi.org/10.1007/s00521-013-1346-6 |
2014 |
Kilic, Gokhan; Unluturk, Mehmet S., “Performance evaluation of the neural networks for moisture detection using GPR”, Nondestructıve Testing And Evaluation Volume: 29, Issue: 4, pp: 283-296, 2014 |
2014 |
Umut Avci and Andrea Passerini, “Improving Activity Recognition by Segmental Pattern Mining,” IEEE Transactions on Knowledge and Data Engineering, 26(4), Pages: 889–902, 2014, doi: 10.1109/TKDE.2013.127. |
2014 |
Umut Avci and Oya Aran, “Effect of nonverbal behavioral patterns on the performance of small groups,” ACM ICMI Workshop on Understanding and Modeling Multiparty Multimodal Interactions, Pages: 9–12, Istanbul, Turkey, 2014. |
2013 |
Ozsoyeller, A. Beveridge, and V. Isler, “Symmetric rendezvous search on the line with an unknown initial distance,” IEEE Transactions on Robotics, vol. 29, no. 6, pp. 1366–1379, 2013. |
2013 |
Unluturk, Sevcan; Pelvan, Merve; Unluturk, Mehmet S., “The discrimination of raw and UHT milk samples contaminated with penicillin G and ampicillin using image processing neural network and biocrystallization methods”, Journal Of Food Composition And Analysis, Volume: 32 Issue: 1 Pages: 12-19, NOV 2013 |
2013 |
Sevcan Unluturk, Mehmet S. Unluturk, Fikret Pazir, Alper Kuscu, “Discrimination of bio-crystallogram images using neural networks”, Neural Comput & Applic (ISI) , 1-10 pp., 2013 , DOI: 10.1007/s00521-013-1346-6 |
2013 |
Umut Avci and Andrea Passerini, “A Fully Unsupervised Approach to Activity Discovery,” Human Behavior Understanding, Pages: 77–88, Barcelona, Spain, 2013. |
2012 |
Ozsoyeller, V. Isler, and A. Beveridge, “Symmetric rendezvous in planar environments with and without obstacles,” in Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012. |
2012 |
Umut Avci and Andrea Passerini, “Improving Activity Recognition by Segmental Pattern Mining,” IEEE International Conference on Pervasive Computing and Communications, Pages: 709–714, Lugano, Switzerland, 2012. |
2011 |
Sevcan Unluturk, Mehmet S. Unluturk, Fikret Pazir and Alper Kuscu, “Process Neural NetworkMethod: Case Study I: Discrimination of Sweet Red Peppers Prepared by DifferentMethods”, EURASIP Journal on Advances in Signal Processing Volume 2011, Article ID 290950, 8 pages, DOI:10.1155/2011/290950, Accepted: 3 February 2011 |
2009 |
Alan Hood and Umut Avci, “Fuzzy Control for Circular Inverted Pendulum,” Intelligent Control Systems and Optimization, Pages: 351–354, Milan, Italy, 2009. |
2003 |
Muezzinoglu, M. K., Guzelis, C., & Zurada, J. M. (2003). A new design method for the complex-valued multistate Hopfield associative memory. IEEE Transactions on Neural Networks, 14(4), 891-899. |